All our articles
Local development environments with Terraform + LXD
Categories: Containers Orchestration, DevOps & SRE | Tags: Automation, DevOps, KVM, LXD, Virtualization, VM, Terraform, Vagrant
As a Big Data Solutions Architect and InfraOps, I need development environments to install and test software. They have to be configurable, flexible, and performant. Working with distributed systems…
Jun 1, 2023
Data platform requirements and expectations
Categories: Big Data, Infrastructure | Tags: Data Engineering, Data Governance, Data Analytics, Data Hub, Data Lake, Data lakehouse, Data Science
A big data platform is a complex and sophisticated system that enables organizations to store, process, and analyze large volumes of data from a variety of sources. It is composed of several…
By David WORMS
Mar 23, 2023
Keycloak deployment in EC2
Categories: Cloud Computing, Data Engineering, Infrastructure | Tags: Security, EC2, Authentication, AWS, Docker, Keycloak, SSL/TLS, SSO
Why use Keycloak Keycloak is an open-source identity provider (IdP) using single sign-on (SSO). An IdP is a tool to create, maintain, and manage identity information for principals and to provide…
By Stephan BAUM
Mar 14, 2023
Operating Kafka in Kubernetes with Strimzi
Categories: Big Data, Containers Orchestration, Infrastructure | Tags: Kafka, Big Data, Kubernetes, Open source, Streaming
Kubernetes is not the first platform that comes to mind to run Apache Kafka clusters. Indeed, Kafka’s strong dependency on storage might be a pain point regarding Kubernetes’ way of doing things when…
Mar 7, 2023
Kubernetes: debugging with ephemeral containers
Categories: Containers Orchestration, Tech Radar | Tags: Debug, Kubernetes
Anyone who has ever had to manipulate Kubernetes has found himself confronted with the resolution of pod errors. The methods provided for this purpose are efficient, and allow to overcome the most…
Feb 7, 2023
Dive into tdp-lib, the SDK in charge of TDP cluster management
Categories: Big Data, Infrastructure | Tags: Programming, Ansible, Hadoop, Python, TDP
All the deployments are automated and Ansible plays a central role. With the growing complexity of the code base, a new system was needed to overcome the Ansible limitations which will enable us to…
Jan 24, 2023
Adaltas Summit 2022 Morzine
Categories: Big Data, Adaltas Summit 2022 | Tags: Data Engineering, Infrastructure, Iceberg, Container, Data lakehouse, Docker, Kubernetes
For its third edition, the whole Adaltas crew is gathering in Morzine for a whole week with 2 days dedicated to technology the 15th and the 16Th of september 2022. The speakers choose one of the…
By David WORMS
Jan 13, 2023
How to build your OCI images using Buildpacks
Categories: Containers Orchestration, DevOps & SRE | Tags: CNCF, OCI, CI/CD, Docker, Kubernetes
Docker has become the new standard for building your application. In a Docker image we place our source code, its dependencies, some configurations and our application is almost ready to be deployed…
Jan 9, 2023
Big data infrastructure internship
Categories: Big Data, Data Engineering, DevOps & SRE, Infrastructure | Tags: Infrastructure, Hadoop, Big Data, Cluster, Internship, Kubernetes, TDP
Job description Big Data and distributed computing are at the core of Adaltas. We accompagny our partners in the deployment, maintenance, and optimization of some of the largest clusters in France…
By Stephan BAUM
Dec 2, 2022
Traefik, Docker and dnsmasq to simplify container networking
Categories: Containers Orchestration, Infrastructure, Tech Radar | Tags: DNS, Gatsby, JAMstack, Linux, Docker, Network
Good tech adventures start with some frustration, a need, or a requirement. This is the story of how I simplified the management and access of my local web applications with the help of Traefik and…
By David WORMS
Nov 17, 2022
WasmEdge: WebAssembly runtimes are coming for the edge
Categories: Containers Orchestration, Adaltas Summit 2021, Infrastructure, Tech Radar | Tags: JAMstack, Linux, Docker, Rust Lang, WebAssembly
With many security challenges solved by design in its core conception, lots of projects benefit from using WebAssembly. WasmEdge runtime is an efficient Virtual Machine optimized for edge computing…
Sep 29, 2022
Ingresses and Load Balancers in Kubernetes with MetalLB and nginx-ingress
Categories: Containers Orchestration, Infrastructure, Tech Radar | Tags: Ingress, Kubeadm, Cluster, Deployment, Kubernetes
When it comes to exposing services from a Kubernetes cluster and making it accessible from outside the cluster, the recommended option is to use a load-balancer type service to redirect incoming…
Sep 8, 2022
Spark on Hadoop integration with Jupyter
Categories: Adaltas Summit 2021, Infrastructure, Tech Radar | Tags: YARN, HDP, Infrastructure, Jupyter, Spark, CDP, Notebook, TDP
For several years, Jupyter notebook has established itself as the notebook solution in the Python universe. Historically, Jupyter is the tool of choice for data scientists who mainly develop in Python…
Sep 1, 2022
Framework laptop with NixOS, a user feedback
Categories: Learning, Tech Radar | Tags: CLI, DevOps, Learning and tutorial, Linux, Packaging, NixOS, Open source
A new job comes with a new laptop. As such, I was given a Framework Laptop DIY Edition with the objective to install and configure it entirely with NixOS. I will share my first impressions after…
Aug 22, 2022
Ceph object storage within a Kubernetes cluster with Rook
Categories: Big Data, Data Governance, Learning | Tags: Amazon S3, Big Data, Ceph, Cluster, Data Lake, Kubernetes, Storage
Ceph is a distributed all-in-one storage system. Reliable and mature, its first stable version was released in 2012 and has since then been the reference for open source storage. Ceph’s main perk is…
By Luka BIGOT
Aug 4, 2022
MinIO object storage within a Kubernetes cluster
Categories: Big Data, Data Governance, Learning | Tags: Amazon S3, Big Data, Cluster, Data Lake, Kubernetes, Storage
MinIO is a popular object storage solution. Often recommended for its simple setup and ease of use, it is not only a great way to get started with object storage: it also provides excellent…
By Luka BIGOT
Jul 9, 2022
Architecture of object-based storage and S3 standard specifications
Categories: Big Data, Data Governance | Tags: Database, API, Amazon S3, Big Data, Data Lake, Storage
Object storage has been growing in popularity among data storage architectures. Compared to file systems and block storage, object storage faces no limitations when handling petabytes of data. By…
By Luka BIGOT
Jun 20, 2022
TDP workshop: Become a TDP power user from your terminal
Categories: Events, Learning | Tags: DevOps, Ansible, Hadoop, Open source, TDP
The TDP CLI is used to deploy and operate your TDP services. It relies on tdp-lib to provide control and flexibility at your fingertips. Some time ago, we announced the public release of TDP - Trunk…
By Paul FARAULT
Jun 17, 2022
Comparison of database architectures: data warehouse, data lake and data lakehouse
Categories: Big Data, Data Engineering | Tags: Data Governance, Infrastructure, Iceberg, Parquet, Spark, Data Lake, Data lakehouse, Data Warehouse, File Format
Database architectures have experienced constant innovation, evolving with the appearence of new use cases, technical constraints, and requirements. From the three database structures we are comparing…
By Gonzalo ETSE
May 17, 2022
NixOS: Enabling LXD virtual machines using Flakes
Categories: Hack, Learning | Tags: GitHub, Learning and tutorial, Linux, LXD, Packaging, VM, NixOS, Open source
Nixpkgs is an ever-increasing collection of software packages for Nix and NixOS. Even with more than 80,000 packages, you easily run in a situation where there is a functionality that is not yet…
May 13, 2022
Databricks logs collection with Azure Monitor at a Workspace Scale
Categories: Cloud Computing, Data Engineering, Adaltas Summit 2021 | Tags: Metrics, Monitoring, Spark, Azure, Databricks, Log4j
Databricks is an optimized data analytics platform based on Apache Spark. Monitoring Databricks plateform is crucial to ensure data quality, job performance, and security issues by limiting access to…
By Claire PLAYE
May 10, 2022
Introducing Trunk Data Platform: the Open-Source Big Data Distribution Curated by TOSIT
Categories: Big Data, DevOps & SRE, Infrastructure | Tags: Ranger, DevOps, Hortonworks, Ansible, Hadoop, HBase, Knox, Spark, Cloudera, CDP, CDH, Open source, TDP
Ever since Cloudera and Hortonworks merged, the choice of commercial Hadoop distributions for on-prem workloads essentially boils down to CDP Private Cloud. CDP can be seen as the “best of both worlds…
Apr 14, 2022
Blockchain 102: Cryptocurrencies, Wallets and DApps
Categories: Adaltas Summit 2021, Infrastructure | Tags: Cryptography, Infrastructure, Blockchain, Consensus
A lot of people own cryptocurrencies today. But holding some tokens on an exchange does not mean interacting with the blockchain. The assets you trade are only numbers stored inside the exchange’s…
Apr 12, 2022
JS monorepos in prod 7: Continuous Integration and Continuous Deployment with GitHub Actions
Categories: DevOps & SRE, Front End | Tags: CI/CD, Monorepo, Node.js, Unit tests
The value of CI/CD lies in the ability to control and coordinate changes and feature addition in multiple, iterative releases while simultaneously having multiple services being actively developed in…
Apr 6, 2022
Nix package creation: install a not yet supported font
Categories: Hack | Tags: Learning and tutorial, Linux, Packaging, GitOps, NixOS, Open source
The Nix packages collection is large with over 60 000 packages. However, chances are that sometimes the package you need is not available. You must integrate it yourself. I needed for some fonts which…
By David WORMS
Mar 29, 2022
Deploy your containerized AI applications with nvidia-docker
Categories: Containers Orchestration, Data Science | Tags: containerd, DevOps, Learning and tutorial, NVIDIA, Docker, Keras, TensorFlow
More and more products and services are taking advantage of the modeling and prediction capabilities of AI. This article presents the nvidia-docker tool for integrating AI (Artificial Intelligence…
Mar 24, 2022
Ansible variables: choosing the right location
Categories: DevOps & SRE | Tags: Infrastructure, Ansible, IaC, YAML
Defining variables for your Ansible playbooks and roles can become challenging as your project grows. Browsing the Ansible documentation, the diversity of Ansible variables location is confusing, to…
Mar 15, 2022
Apache HBase: RegionServers co-location
Categories: Big Data, Adaltas Summit 2021, Infrastructure | Tags: Ambari, Database, HDP, Infrastructure, Tuning, Hadoop, HBase, Big Data, Storage
RegionServers are the processes that manage the storage and retrieval of data in Apache HBase, the non-relational column-oriented database in Apache Hadoop. It is through their daemons that any CRUD…
Feb 22, 2022
Reliable and reproducible Linux installation with NixOS
Categories: Infrastructure, Learning | Tags: Linux, Packaging, VM, NixOS, TDP
When using an operating system, upgrading packages or installing new ones are common tasks that introduce the risk of affecting the stability of the system. NixOS is a Linux distribution that ensures…
Feb 8, 2022
Nix introduction, main concepts and commands
Categories: Infrastructure, Learning | Tags: Arch Linux, CentOS, Linux, OS X, Packaging, Ubuntu, NixOS, TDP
Nix is a functional package manager for Linux and other Unix systems, making the management of packages more reliable and easy to reproduce. With a traditional package manager, when updating a package…
Feb 1, 2022
Blockchain 101: Blockchains and Consensus Mechanisms
Categories: Adaltas Summit 2021, Infrastructure, Learning | Tags: Cryptography, Infrastructure, Blockchain, Consensus
Cryptocurrencies are booming in 2021, with a market cap moving from 750 to more than 3,000 billion dollars. Let’s face it, this is mainly due to speculation. A lot of people involved do not have a…
Jan 18, 2022
GitOps in practice, deploy Kubernetes applications with ArgoCD
Categories: Containers Orchestration, DevOps & SRE, Adaltas Summit 2021 | Tags: Argo CD, CI/CD, Git, GitOps, IaC, Kubernetes
GitOps is a set of practices to deploy applications using Git. Application definitions, configurations, and connectivity are to be stored in a version control software such as Git. Git then serves as…
Dec 16, 2021
JS monorepos in prod 6: CI/CD, continuous integration and deployment with Travis CI
Categories: DevOps & SRE, Front End | Tags: CI/CD, Monorepo, Node.js, Unit tests
Implementing continuous integration CI and continuous deployment (CD) on a monorepo is quite complex due to the diversity of multiple responsibilities between developers and the need to coordinate…
By David WORMS
Dec 6, 2021
Spring 2022 internship - building a Data Lab
Categories: Data Science, Learning | Tags: MongoDB, Spark, Argo CD, Elasticsearch, Internship, Keycloak, Kubernetes, OpenID Connect, PostgreSQL
Job Description Over the last few years, we developed the ability to use computers to process large amounts of data. The ecosystem evolved over a large offering of tools and libraries and the creation…
By David WORMS
Nov 24, 2021
CSV package for Node.js version 6
Categories: Node.js | Tags: Data Engineering, Refactoring, CSV, File Format, Release and features
Version 6 of the package for Node.js is released along its sub projects. Here are the latest versions: version , latest version was NPM version , latest version was NPM version , latest version…
By David WORMS
Nov 15, 2021
H2O in practice: a protocol combining AutoML with traditional modeling approaches
Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python, XGBoost
H20 comes with a lot of functionalities. The second part of the series H2O in practice proposes a protocol to combine AutoML modeling with traditional modeling and optimization approach. The objective…
Nov 12, 2021
Internship in Big Data infrastructure with TDP
Categories: Infrastructure, Learning | Tags: Cyber Security, DevOps, Java, Hadoop, IaC, Internship, TDP
Job Description Big Data and distributed computing is at Adaltas’ core. We support our partners in the deployment, maintenance and optimization of some of France’s largest clusters. Adaltas is also an…
By Daniel HARTY
Oct 25, 2021
Internship in Data Engineering
Categories: Front End, Learning | Tags: Metrics, Monitoring, Hive, Kafka, Delta Lake, Elasticsearch, IaC, Internship, Kubernetes, Streaming
Job Description Data is a valuable business asset. Some call it the new oil. The data engineer collects, transform and refine raw data into information that can be used by business analysts and data…
By David WORMS
Oct 25, 2021
Internship in Web Technologies
Categories: Front End, Learning | Tags: DevOps, LDAP, React.js, CI/CD, Docker, GraphQL, IaC, Internship, Kubernetes, Node.js, OAuth2
Job Description As part of its Big Data activities, Adaltas Academy is an information-sharing platform bringing together articles, training content, and a knowledge base. The users of the platform are…
By David WORMS
Oct 14, 2021
H2O in practice: a Data Scientist feedback
Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python
Automated machine learning (AutoML) platforms are gaining popularity and becoming a new important tool in the data scientists’ toolbox. A few months ago, I introduced H2O, an open-source platform for…
Sep 29, 2021
Adaltas Summit 2021, 2nd edition in corsica
Categories: Adaltas Summit 2021, Learning | Tags: Ansible, Hadoop, Spark, Azure, Blockchain, Deep Learning, Docker, Terraform, Kubernetes, Node.js
For its second edition, the whole Adaltas crew is gathering in Corsica for a whole week with 2 days dedicated to technology the 23rd and the 24th of september 2021. After a year and a half of sanitary…
By David WORMS
Sep 21, 2021
Running your Travis CI builds locally with Docker
Categories: DevOps & SRE, Front End | Tags: Bash, Tools, CI/CD, Node.js, Unit tests
Setting up the environment to run the tests on a CI/CD can take a few roundtrips between your host machine and the CI/CD running remotely. For every attempt, you’ll have to commit and publish your…
By David WORMS
Sep 6, 2021
Using Cloudera Deploy to install Cloudera Data Platform (CDP) Private Cloud
Categories: Big Data, Cloud Computing | Tags: Ansible, Cloudera, CDP, Cluster, Data Warehouse, Vagrant, IaC
Following our recent Cloudera Data Platform (CDP) overview, we cover how to deploy CDP private Cloud on you local infrastructure. It is entirely automated with the Ansible cookbooks published by…
Jul 23, 2021
An overview of Cloudera Data Platform (CDP)
Categories: Big Data, Cloud Computing, Data Engineering | Tags: SDX, Big Data, Cloud, Cloudera, CDP, CDH, Data Analytics, Data Hub, Data Lake, Data lakehouse, Data Warehouse
Cloudera Data Platform (CDP) is a cloud computing platform for businesses. It provides integrated and multifunctional self-service tools in order to analyze and centralize data. It brings security and…
Jul 19, 2021
Modern Python part 3: run a CI pipeline & publish your package to PiPy
Categories: DevOps & SRE | Tags: GitHub, CI/CD, Git, Python, Release and features, Unit tests
To propose a well-maintained and usable Python package to the open-source community or even inside your company, you are expected to accomplish a set of critical steps. First ensure that your code is…
By Faouzi BRAZA
Jun 28, 2021
Modern Python part 2: write unit tests & enforce Git commit conventions
Categories: DevOps & SRE | Tags: Git, pandas, Python, Unit tests
Good software engineering practices always bring a lot of long-term benefits. For example, writing unit tests permits you to maintain large codebases and ensures that a specific piece of your code…
By Faouzi BRAZA
Jun 24, 2021
Modern Python part 1: start a project with pyenv & poetry
Categories: DevOps & SRE | Tags: Git, Python, Release and features, Unit tests
When learning a programming language, the focus is essentially on understanding the syntax, the code style, and the underlying concepts. With time, you become sufficiently comfortable with the…
By Faouzi BRAZA
Jun 9, 2021
Desacralizing the Linux overlay filesystem in Docker
Categories: Containers Orchestration, Infrastructure | Tags: DevOps, File system, Linux, Docker
Overlay filesystems (also called union filesystems) is a fundamental technology in Docker to create images and containers. They allow creating a union of directories to create a filesystem. Multiple…
By David WORMS
Jun 3, 2021
Self-Paced training from Databricks: a guide to self-enablement on Big Data & AI
Categories: Data Engineering, Learning | Tags: Cloud, Data Lake, Databricks, Delta Lake, MLflow
Self-paced trainings are proposed by Databricks inside their Academy program. The price is $ 2000 USD for unlimited access to the training courses for a period of 1 year, but also free for customers…
May 26, 2021
JS monorepos in prod 5: merging Git repositories and preserve commit history
Categories: DevOps & SRE, Node.js | Tags: Bash, DevOps, GitHub, Packaging, Git, GitOps, JavaScript, Monorepo
At Adaltas, we maintain several open-source Node.js projects organized as Git monorepos and published on NPM. We shared our experience to work with Lerna monorepos in a set of articles: Part…
May 21, 2021
Find your way into data related Microsoft Azure certifications
Categories: Cloud Computing, Data Engineering | Tags: Data Governance, Azure, Data Science
Microsoft Azure has certification paths for many technical job roles such as developer, Data Engineer, Data Scientist and solution architect among others. Each of these certifications consists of…
Apr 14, 2021
Bridging the DBnomics Swagger/OpenAPI schema with GraphQL
Categories: DevOps & SRE, Front End | Tags: Data Engineering, JAMstack, REST, GraphQL, JavaScript, Node.js, Schema
While redacting a long and fastidious document today, I came across DBnomics, an open platform federating economic datasets. Browsing its website and APIs, I found their OpenAPI schema (aka Swagger…
By David WORMS
Apr 8, 2021
Apache Liminal: when MLOps meets GitOps
Categories: Big Data, Containers Orchestration, Data Engineering, Data Science, Tech Radar | Tags: Data Engineering, CI/CD, Data Science, Deep Learning, Deployment, Docker, GitOps, Kubernetes, Machine Learning, MLOps, Open source, Python, TensorFlow
Apache Liminal is an open-source software which proposes a solution to deploy end-to-end Machine Learning pipelines. Indeed it permits to centralize all the steps needed to construct Machine Learning…
Mar 31, 2021
Storage size and generation time in popular file formats
Categories: Data Engineering, Data Science | Tags: Avro, HDFS, Hive, ORC, Parquet, Big Data, Data Lake, File Format, JavaScript Object Notation (JSON)
Choosing an appropriate file format is essential, whether your data transits on the wire or is stored at rest. Each file format comes with its own advantages and disadvantages. We covered them in a…
Mar 22, 2021
TensorFlow Extended (TFX): the components and their functionalities
Categories: Big Data, Data Engineering, Data Science, Learning | Tags: Beam, Data Engineering, Pipeline, CI/CD, Data Science, Deep Learning, Deployment, Machine Learning, MLOps, Open source, Python, TensorFlow
Putting Machine Learning (ML) and Deep Learning (DL) models in production certainly is a difficult task. It has been recognized as more failure-prone and time consuming than the modeling itself, yet…
Mar 5, 2021
JS monorepos in prod 4: unit testing with Mocha and Should.js
Categories: DevOps & SRE, Front End | Tags: Automation, CI/CD, Git, GitOps, Monorepo, Node.js, Unit tests
Unit testing is essential for every long-term project and allows you to pull down functionalities of your code into isolated testable units. Indeed the main goal of a unit test is to verify if an…
By David WORMS
Feb 25, 2021
JS monorepos in prod 3: commit enforcement and changelog generation
Categories: DevOps & SRE, Front End | Tags: CI/CD, Git, JavaScript, Monorepo, Node.js, Release and features, Unit tests
Conventional Commits introduces a structured format for commit messages. It standardizes the messages among all the contributors. This makes them more readable and easy to automate. It simplifies the…
By David WORMS
Feb 2, 2021
JS monorepos in prod 2: project versioning and publishing
Categories: DevOps & SRE, Front End | Tags: CI/CD, Git, GitOps, JavaScript, Monorepo, Node.js, Release and features, Unit tests
One great advantage of a monorepo is to maintain coherent versions between packages and to automatize the version creation and the publication of packages. This article covers the versioning and…
By David WORMS
Jan 11, 2021
JS monorepos in prod 1: project initialization
Categories: DevOps & SRE, Front End | Tags: Git, GitOps, JavaScript, Monorepo, Node.js, Release and features
Every project journey begins with the step of initialization. When your overall project is composed of multiple projects, it is tempting to create one Git repository per project. In Node.js, a project…
By David WORMS
Jan 5, 2021
Build your open source Big Data distribution with Hadoop, HBase, Spark, Hive & Zeppelin
Categories: Big Data, Infrastructure | Tags: Maven, Hadoop, HBase, Hive, Spark, Git, Release and features, TDP, Unit tests
The Hadoop ecosystem gave birth to many popular projects including HBase, Spark and Hive. While technologies like Kubernetes and S3 compatible object storages are growing in popularity, HDFS and YARN…
Dec 18, 2020
Faster model development with H2O AutoML and Flow
Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python
Building Machine Learning (ML) models is a time-consuming process. It requires expertise in statistics, ML algorithms, and programming. On top of that, it also requires the ability to translate a…
Dec 10, 2020
OAuth2 and OpenID Connect for microservices and public applications (Part 2)
Categories: Containers Orchestration, Cyber Security | Tags: CNCF, LDAP, Micro Services, JavaScript Object Notation (JSON), OAuth2, OpenID Connect
Using OAuth2 and OpenID Connect, it is important to understand how the authorization flow is taking place, who shall call the Authorization Server, how to store the tokens. Moreover, microservices and…
By David WORMS
Nov 20, 2020
OAuth2 and OpenID Connect, a gentle and working introduction (Part 1)
Categories: Containers Orchestration, Cyber Security | Tags: CNCF, Go Lang, JAMstack, LDAP, Kubernetes, OAuth2, OpenID Connect
Understanding OAuth2, OpenID and OpenID Connect (OIDC), how they relate, how the communications are established, and how to architecture your application with the given access, refresh and id tokens…
By David WORMS
Nov 17, 2020
Connecting to ADLS Gen2 from Hadoop (HDP) and Nifi (HDF)
Categories: Big Data, Cloud Computing, Data Engineering | Tags: NiFi, Hadoop, HDFS, Authentication, Authorization, Azure, Azure Data Lake Storage (ADLS), OAuth2
As data projects built in the Cloud are becoming more and more frequent, a common use case is to interact with Cloud storage from an existing on premise Big Data platform. Microsoft Azure recently…
Nov 5, 2020
Rebuilding HDP Hive: patch, test and build
Categories: Big Data, Infrastructure | Tags: Maven, GitHub, Java, Hive, Git, Release and features, TDP, Unit tests
The Hortonworks HDP distribution will soon be deprecated in favor of Cloudera’s CDP. One of our clients wanted a new Apache Hive feature backported into HDP 2.6.0. We thought it was a good opportunity…
Oct 6, 2020
Data versioning and reproducible ML with DVC and MLflow
Categories: Data Science, DevOps & SRE, Events | Tags: Data Engineering, Databricks, Delta Lake, Git, Machine Learning, MLflow, Storage
Our talk on data versioning and reproducible Machine Learning proposed to the Data + AI Summit (formerly known as Spark+AI) is accepted. The summit will take place online the 17-19th November…
Sep 30, 2020
Experiment tracking with MLflow on Databricks Community Edition
Categories: Data Engineering, Data Science, Learning | Tags: Spark, Databricks, Deep Learning, Delta Lake, Machine Learning, MLflow, Notebook, Python, Scikit-learn
Introduction to Databricks Community Edition and MLflow Every day the number of tools helping Data Scientists to build models faster increases. Consequently, the need to manage the results and the…
Sep 10, 2020
Version your datasets with Data Version Control (DVC) and Git
Categories: Data Science, DevOps & SRE | Tags: DevOps, Infrastructure, Operation, Git, GitOps, SCM
Using a Version Control System such as Git for source code is a good practice and an industry standard. Considering that projects focus more and more on data, shouldn’t we have a similar approach such…
By Grégor JOUET
Sep 3, 2020
Plugin architecture in JavaScript and Node.js with Plug and Play
Categories: Front End, Node.js | Tags: Asynchronous, DevOps, Programming, Agile, JavaScript, Open source, Release and features
Plug and Play helps library and application authors to introduce a plugin architecture into their code. It simplifies complex code execution with well-defined interception points, also called hooks…
By David WORMS
Aug 28, 2020
Installing Hadoop from source: build, patch and run
Categories: Big Data, Infrastructure | Tags: Maven, Java, LXD, Hadoop, HDFS, Docker, TDP, Unit tests
Commercial Apache Hadoop distributions have come and gone. The two leaders, Cloudera and Hortonworks, have merged: HDP is no more and CDH is now CDP. MapR has been acquired by HP and IBM BigInsights…
Aug 4, 2020
Download datasets into HDFS and Hive
Categories: Big Data, Data Engineering | Tags: Business intelligence, Data Engineering, Data structures, Database, Hadoop, HDFS, Hive, Big Data, Data Analytics, Data Lake, Data lakehouse, Data Warehouse
Introduction Nowadays, the analysis of large amounts of data is becoming more and more possible thanks to Big data technology (Hadoop, Spark,…). This explains the explosion of the data volume and the…
By Aida NGOM
Jul 31, 2020
Comparison of different file formats in Big Data
Categories: Big Data, Data Engineering | Tags: Business intelligence, Data structures, Avro, HDFS, ORC, Parquet, Batch processing, Big Data, CSV, JavaScript Object Notation (JSON), Kubernetes, Protocol Buffers
In data processing, there are different types of files formats to store your data sets. Each format has its own pros and cons depending upon the use cases and exists to serve one or several purposes…
By Aida NGOM
Jul 23, 2020
Automate a Spark routine workflow from GitLab to GCP
Categories: Big Data, Cloud Computing, Containers Orchestration | Tags: Learning and tutorial, Airflow, Spark, CI/CD, GitLab, GitOps, GCP, Terraform
A workflow consists in automating a succession of tasks to be carried out without human intervention. It is an important and widespread concept which particularly apply to operational environments…
Jun 16, 2020
Importing data to Databricks: external tables and Delta Lake
Categories: Data Engineering, Data Science, Learning | Tags: Parquet, AWS, Amazon S3, Azure Data Lake Storage (ADLS), Databricks, Delta Lake, Python
During a Machine Learning project we need to keep track of the training data we are using. This is important for audit purposes and for assessing the performance of the models, developed at a later…
May 21, 2020
Introducing Apache Airflow on AWS
Categories: Big Data, Cloud Computing, Containers Orchestration | Tags: PySpark, Learning and tutorial, Airflow, Oozie, Spark, AWS, Docker, Python
Apache Airflow offers a potential solution to the growing challenge of managing an increasingly complex landscape of data management tools, scripts and analytics processes. It is an open-source…
May 5, 2020
Expose a Rook-based Ceph cluster outside of Kubernetes
Categories: Containers Orchestration | Tags: Debug, Rook, Ceph, Docker, Kubernetes
We recently deployed a LXD based Hadoop cluster and we wanted to be able to apply size quotas on some filesystems (ie: service logs, user homes). Quota is a built in feature of the Linux kernel used…
Apr 16, 2020
Snowflake, the Data Warehouse for the Cloud, introduction and tutorial
Categories: Business Intelligence, Cloud Computing | Tags: Cloud, Data Lake, Data Science, Data Warehouse, Snowflake
Snowflake is a SaaS-based data-warehousing platform that centralizes, in the cloud, the storage and processing of structured and semi-structured data. The increasing generation of data produced over…
Apr 7, 2020
Optimization of Spark applications in Hadoop YARN
Categories: Data Engineering, Learning | Tags: Tuning, Hadoop, Spark, Python
Apache Spark is an in-memory data processing tool widely used in companies to deal with Big Data issues. Running a Spark application in production requires user-defined resources. This article…
Mar 30, 2020
MLflow tutorial: an open source Machine Learning (ML) platform
Categories: Data Engineering, Data Science, Learning | Tags: AWS, Azure, Databricks, Deep Learning, Deployment, Machine Learning, MLflow, MLOps, Python, Scikit-learn
Introduction and principles of MLflow With increasingly cheaper computing power and storage and at the same time increasing data collection in all walks of life, many companies integrated Data Science…
Mar 23, 2020
Introduction to Ludwig and how to deploy a Deep Learning model via Flask
Categories: Data Science, Tech Radar | Tags: Learning and tutorial, Deep Learning, Ludwig Deep Learning Toolbox, Machine Learning, Python
Over the past decade, Machine Learning and deep learning models have proven to be very effective in performing a wide variety of tasks such as fraud detection, product recommendation, autonomous…
Mar 2, 2020
Install and debug Kubernetes inside LXD
Categories: Containers Orchestration | Tags: Debug, Linux, LXD, Docker, Kubernetes, Node
We recently deployed a Kubernetes cluster with the need to maintain clusters isolation on our bare metal nodes across our infrastructure. We knew that Virtual Machines would provide the required…
Feb 4, 2020
Policy enforcing with Open Policy Agent
Categories: Cyber Security, Data Governance | Tags: Ranger, REST, Kafka, Authorization, Cloud, Kubernetes, SSL/TLS
Open Policy Agent is an open-source multi-purpose policy engine. Its main goal is to unify policy enforcement across the cloud native stack. The project was created by Styra and it is currently…
Jan 22, 2020
Cloudera CDP and Cloud migration of your Data Warehouse
Categories: Big Data, Cloud Computing | Tags: Azure, Cloudera, Data Hub, Data Lake, Data Warehouse
While one of our customer is anticipating a move to the Cloud and with the recent announcement of Cloudera CDP availability mi-september during the Strata conference, it seems like the appropriate…
By David WORMS
Dec 16, 2019
Logstash pipelines remote configuration and self-indexing
Categories: Data Engineering, Infrastructure | Tags: Docker, Elasticsearch, Kibana, Logstash, Log4j
Logstash is a powerful data collection engine that integrates in the Elastic Stack (Elasticsearch - Logstash - Kibana). The goal of this article is to show you how to deploy a fully managed Logstash…
Dec 13, 2019
Should you move your Big Data and Data Lake to the Cloud
Categories: Big Data, Cloud Computing | Tags: DevOps, AWS, Azure, Cloud, CDP, Databricks, GCP
Should you follow the trend and migrate your data, workflows and infrastructure to GCP, AWS and Azure? During the Strata Data Conference in New-York, a general focus was put on moving customer’s Big…
Dec 9, 2019
Hadoop Ozone part 3: advanced replication strategy with Copyset
Categories: Infrastructure | Tags: HDFS, Ozone, Cluster, Kubernetes, Node
Hadoop Ozone provide a way of setting a ReplicationType for every write you make on the cluster. Right now is supported HDFS and Ratis but more advanced replication strategies can be achieved. In this…
Dec 3, 2019
Hadoop Ozone part 2: tutorial and getting started of its features
Categories: Infrastructure | Tags: CLI, Learning and tutorial, REST, HDFS, Ozone, Amazon S3, Cluster
The releases of Hadoop Ozone come with a handy docker-compose file to try out Ozone. The below instructions provide details on how to use it. You can also use the Katacoda training sandbox which…
Dec 3, 2019
Hadoop Ozone part 1: an introduction of the new filesystem
Categories: Infrastructure | Tags: HDFS, Ozone, Cluster, Kubernetes
Hadoop Ozone is an object store for Hadoop. It is designed to scale to billions of objects of varying sizes. It is currently in development. The roadmap is available on the project wiki. This article…
Dec 3, 2019
InfraOps & DevOps Internship - build a Big Data & Kubernetes PaaS
Categories: Big Data, Containers Orchestration | Tags: DevOps, LXD, Hadoop, Kafka, Spark, Ceph, Internship, Kubernetes, NoSQL
Context The acquisition of a high-capacity cluster is in line with Adaltas’ desire to build a PAAS-type offering to use and to provide Big Data and container orchestration platforms. The platforms are…
By David WORMS
Nov 26, 2019
Internship Data Science & Data Engineer - ML in production and streaming data ingestion
Categories: Data Engineering, Data Science | Tags: Flink, DevOps, Hadoop, HBase, Kafka, Spark, Internship, Kubernetes, Python
Context The exponential evolution of data has turned the industry upside down by redefining data storage, processing and data ingestion pipelines. Mastering these methods considerably facilitates…
By David WORMS
Nov 26, 2019
Insert rows in BigQuery tables with complex columns
Categories: Cloud Computing, Data Engineering | Tags: GCP, BigQuery, Schema, SQL
Google’s BigQuery is a cloud data warehousing system designed to process enormous volumes of data with several features available. Out of all those features, let’s talk about the support of Struct…
Nov 22, 2019
Avoid Bottlenecks in distributed Deep Learning pipelines with Horovod
Categories: Data Science | Tags: GPU, Deep Learning, Horovod, Keras, TensorFlow
The Deep Learning training process can be greatly speed up using a cluster of GPUs. When dealing with huge amounts of data, distributed computing quickly becomes a challenge. A common obstacle which…
By Grégor JOUET
Nov 15, 2019
Kerberos and Spnego authentication on Windows with Firefox
Categories: Cyber Security | Tags: Firefox, HTTP, Kerberos, FreeIPA
In Greek mythology, Kerberos, also called Cerberus, guards the gates of the Underworld to prevent the dead from leaving. He is commonly described as a three-headed dog, a serpent’s tail, mane of…
By David WORMS
Nov 4, 2019
Notes on the Cloudera Open Source licensing model
Categories: Big Data | Tags: CDSW, License, Cloudera Manager, Open source
Following the publication of its Open Source licensing strategy on July 10, 2019 in an article called “our Commitment to Open Source Software”, Cloudera broadcasted a webinar yesterday October 2…
By David WORMS
Oct 25, 2019
Innovation, project vs product culture in Data Science
Categories: Data Science, Data Governance | Tags: DevOps, Agile, Scrum
Data Science carries the jobs of tomorrow. It is closely linked to the understanding of the business usecases, the behaviors and the insights that will be extracted from existing data. The stakes are…
By David WORMS
Oct 8, 2019
Machine Learning model deployment
Categories: Big Data, Data Engineering, Data Science, DevOps & SRE | Tags: DevOps, Operation, AI, Cloud, Machine Learning, MLOps, On-premises, Schema
“Enterprise Machine Learning requires looking at the big picture […] from a data engineering and a data platform perspective,” lectured Justin Norman during the talk on the deployment of Machine…
Sep 30, 2019
Rook with Ceph doesn't provision my Persistent Volume Claims!
Categories: DevOps & SRE | Tags: PVC, Linux, Rook, Ubuntu, Ceph, Cluster, Internship, Kubernetes
Ceph installation inside Kubernetes can be provisioned using Rook. Currently doing an internship at Adaltas, I was in charge of participating in the setup of a Kubernetes (k8s) cluster. To avoid…
Sep 9, 2019
Users and RBAC authorizations in Kubernetes
Categories: Containers Orchestration, Data Governance | Tags: Cyber Security, RBAC, Authentication, Authorization, Kubernetes, SSL/TLS
Having your Kubernetes cluster up and running is just the start of your journey and you now need to operate. To secure its access, user identities must be declared along with authentication and…
Aug 7, 2019
TensorFlow installation on Docker
Categories: Containers Orchestration, Data Science, Learning | Tags: CPU, Jupyter, Linux, AI, Deep Learning, Docker, TensorFlow
TensorFlow is an Open Source software from Google for numerical computation using a graph representation: Vertex (nodes) represent mathematical operations Edges represent N-dimensional data array…
Aug 5, 2019
Running Apache Hive 3, new features and tips and tricks
Categories: Big Data, Business Intelligence, DataWorks Summit 2019 | Tags: Druid, JDBC, LLAP, Hadoop, Hive, Kafka, Release and features
Apache Hive 3 brings a bunch of new and nice features to the data warehouse. Unfortunately, like many major FOSS releases, it comes with a few bugs and not much documentation. It is available since…
Jul 25, 2019
Auto-scaling Druid with Kubernetes
Categories: Big Data, Business Intelligence, Containers Orchestration | Tags: Druid, CNCF, Helm, Metrics, OLAP, Operation, Container Orchestration, EC2, Cloud, Data Analytics, Kubernetes, Prometheus, Python
Apache Druid is an open-source analytics data store which could leverage the auto-scaling abilities of Kubernetes due to its distributed nature and its reliance on memory. I was inspired by the talk…
Jul 16, 2019
Mount Aladdin eToken in Firefox on Archlinux
Categories: Hack | Tags: Arch Linux, Cyber Security, Firefox, Security, Smart card, 2FA
Given you’re on Archlinux and have an Aladdin eToken, let’s see how we can mount it in Firefox for web authentication. An Aladdin eToken is a cryptographic device (token, smart card) that stores…
Jul 12, 2019
Spark Streaming part 4: clustering with Spark MLlib
Categories: Data Engineering, Data Science, Learning | Tags: Apache Spark Streaming, Spark, Big Data, Clustering, Machine Learning, Scala, Streaming
Spark MLlib is an Apache’s Spark library offering scalable implementations of various supervised and unsupervised Machine Learning algorithms. Thus, Spark framework can serve as a platform for…
Jun 27, 2019
Google Cloud Summit Paris Notes
Categories: Events | Tags: AWS, Azure, Cloud, GCP, Kubernetes, On-premises
Google organized its yearly Summit edition 2019 in Paris on the 18th of June. This year’s event was the biggest yet in Paris, which reflect Google’s commitment to position itself in the French market…
Jun 26, 2019
Druid and Hive integration
Categories: Big Data, Business Intelligence, Tech Radar | Tags: Druid, LLAP, OLAP, Hive, Data Analytics, SQL
This article covers the integration between Hive Interactive (LDAP) and Druid. One can see it as a complement of the Ultra-fast OLAP Analytics with Apache Hive and Druid article. Tools description…
Jun 17, 2019
Spark Streaming part 3: DevOps, tools and tests for Spark applications
Categories: Big Data, Data Engineering, DevOps & SRE | Tags: Apache Spark Streaming, DevOps, Learning and tutorial, Spark
Whenever services are unavailable, businesses experience large financial losses. Spark Streaming applications can break, like any other software application. A streaming application operates on data…
May 31, 2019
Spark Streaming part 2: run Spark Structured Streaming pipelines in Hadoop
Categories: Data Engineering, Learning | Tags: Apache Spark Streaming, Spark, Python, Streaming
Spark can process streaming data on a multi-node Hadoop cluster relying on HDFS for the storage and YARN for the scheduling of jobs. Thus, Spark Structured Streaming integrates well with Big Data…
May 28, 2019
Spark Streaming part 1: build data pipelines with Spark Structured Streaming
Categories: Data Engineering, Learning | Tags: Apache Spark Streaming, Kafka, Spark, Big Data, Streaming
Spark Structured Streaming is a new engine introduced with Apache Spark 2 used for processing streaming data. It is built on top of the existing Spark SQL engine and the Spark DataFrame. The…
Apr 18, 2019
Recover from an EFI failure on a dedicated server
Categories: Hack | Tags: Infrastructure, Linux, Cloud
A few weeks ago, before upgrading our Ubuntu systems, we sort of messed around with our EFI partitions and the impacted servers never came back online on system reboot after the upgrade. Provisionning…
By Grégor JOUET
Apr 16, 2019
First Class Functions in Python
Categories: Hack, Learning | Tags: Programming, Python
I recently watched a talk by Dave Cheney about first class functions in Go. Python supports first class functions too, so can we use them in the same ways? Absolutely. I have been using Python for a…
Apr 15, 2019
Gatsby.js, React and GraphQL for documentation websites
Categories: Adaltas Summit 2018, Front End | Tags: Gatsby, HTTP, JAMstack, Markdown, React.js, SEO, API, GitOps, GraphQL, JavaScript, Node.js
In the last few months, I have started to redesign some of our Open Source project websites. This includes the websites of the Node.js CSV project, the Node.js HBase client and the Nikita project, our…
By David WORMS
Apr 1, 2019
Publish Spark SQL DataFrame and RDD with Spark Thrift Server
Categories: Data Engineering | Tags: Thrift, JDBC, Hadoop, Hive, Spark, SQL
The distributed and in-memory nature of the Spark engine makes it an excellent candidate to expose data to clients which expect low latencies. Dashboards, notebooks, BI studios, KPIs-based reports…
Mar 25, 2019
Multihoming on Hadoop
Categories: Infrastructure | Tags: Kerberos, Hadoop, HDFS, Network
Multihoming, which means having multiple networks attached to one node, is one of the main components to manage the heterogeneous network usage of an Apache Hadoop cluster. This article is an…
Mar 5, 2019
Introduction to Cloudera Data Science Workbench
Categories: Data Science | Tags: Azure, Cloudera, Docker, Git, Kubernetes, Machine Learning, MLOps, Notebook
Cloudera Data Science Workbench is a platform that allows Data Scientists to create, manage, run and schedule data science workflows from their browser. Thus it enables them to focus on their main…
Feb 28, 2019
Apache Knox made easy!
Categories: Big Data, Cyber Security, Adaltas Summit 2018 | Tags: Ranger, Kerberos, LDAP, Active Directory, REST, Knox
Apache Knox is the secure entry point of a Hadoop cluster, but can it also be the entry point for my REST applications? Apache Knox overview Apache Knox is an application gateway for interacting in a…
Feb 4, 2019
Installing Kubernetes on CentOS 7
Categories: Containers Orchestration | Tags: CentOS, cgroups, CNCF, DevOps, Infrastructure, Namespaces, Red Hat, VM, Ceph, Docker, Kubernetes
This article explains how to install a Kubernetes cluster. I will dive into what each step does so you can build a thorough understanding of what is going on. This article is based on my talk from the…
Jan 29, 2019
Self-sovereign identities with verifiable claims
Categories: Data Governance | Tags: Ledger, Authentication, Blockchain, Cloud, IAM
Towards a trusted, personal, persistent, and portable digital identity for all. Digital identity issues Self-sovereign identities are an attempt to solve a couple of issues. The first is the…
By Nabil MELLAL
Jan 23, 2019
Applying Deep Reinforcement Learning to Poker
Categories: Data Science | Tags: Algorithm, Gaming, Q-learning, Deep Learning, Machine Learning, Neural Network, Python
We will cover the subject of Deep Reinforcement Learning, more specifically the Deep Q Learning algorithm introduced by DeepMind, and then we’ll apply a version of this algorithm to the game of Poker…
Jan 9, 2019
LXD: The Missing Piece
Categories: Containers Orchestration | Tags: CPU, Linux, LXD, VM, Docker, Kubernetes
LXD stands for Linux Container Daemon. Yet another container technology. But LXD is very different. It stands apart from the pack. It is not necessarily better nor much faster nor more secure! But it…
Dec 28, 2018
Monitoring a production Hadoop cluster with Kubernetes
Categories: DevOps & SRE | Tags: Thrift, Grafana, Shinken, Hadoop, Knox, Cluster, Docker, Elasticsearch, Kubernetes, Node, Node.js, Prometheus, Python
Monitoring a production grade Hadoop cluster is a real challenge and needs to be constantly evolving. The software we use today is based on Nagios. Very efficient when it comes to the simplest…
Dec 21, 2018
CodaLab – Data Science competitions
Categories: Data Science, Adaltas Summit 2018, Learning | Tags: Database, Infrastructure, Machine Learning, MySQL, Node.js, Python
CodaLab Competition is a platform for code execution in the field of Data Science. It is a web interface on which a user can submit code or results and compare themselves to others. Let’s see how it…
Dec 17, 2018
Native modules for Node.js with N-API
Categories: Adaltas Summit 2018, Front End | Tags: C++, Kerberos, NPM, JavaScript, Node.js
How to create native modules for Node.js? How to use N-API, the future of native addons development? Writing C/C++ addon is a useful and powerful feature of the Node.js runtime. Let’s explore them…
Dec 12, 2018
Microsoft introduces Cloud Native Application Bundles
Categories: Containers Orchestration | Tags: CLI, Helm, Packaging, Docker, Kubernetes
At DockerCon EU 2018 in Barcelona, Matt Butcher, Principal Engineer at Microsoft and inventor of Helm, introduced CNAB, Cloud Native Application Bundles, a packaging format for distributed…
Dec 4, 2018
Jumbo, the Hadoop cluster bootstrapper
Categories: Infrastructure | Tags: Ambari, Automation, HDP, REST, Ansible, Cluster, Vagrant
Introducing Jumbo, a Hadoop cluster bootstrapper for developers. Jumbo helps you deploy development environments for Big Data technologies. It takes a few minutes to get a custom virtualized Hadoop…
Nov 29, 2018
Main advantages of GraphQL as an alternative to REST
Categories: Front End | Tags: gRPC, REST, API, GraphQL, JavaScript Object Notation (JSON), Node.js, Registry
GraphQL is based on a simple idea, moving the assembly of a request from the server to the client. The client sees the overall strongly-typed schema instead of multiple REST endpoints and he builds…
By David WORMS
Nov 27, 2018
Node.js CSV version 4 - re-writing and performance
Categories: Node.js | Tags: CLI, Data Engineering, Refactoring, CSV, Release and features
Today, we release a new major version of the Node.js CSV parser project. Version 4 is a complete re-writing of the project focusing on performance. It also comes with new functionalities as well as…
By David WORMS
Nov 19, 2018
Hadoop cluster takeover with Apache Ambari
Categories: Big Data, DevOps & SRE, Adaltas Summit 2018 | Tags: Ambari, Automation, HDP, iptables, Kerberos, Nikita, REST, Systemd, Cluster, Node, Node.js
We recently migrated a large production Hadoop cluster from a “manual” automated install to Apache Ambari, we called this the Ambari Takeover. This is a risky process and we will detail why this…
Nov 15, 2018
Managing User Identities on Big Data Clusters
Categories: Cyber Security, Data Governance | Tags: Kerberos, LDAP, Active Directory, Ansible, FreeIPA, IAM
Securing a Big Data Cluster involves integrating or deploying specific services to store users. Some users are cluster-specific when others are available across all clusters. It is not always easy to…
By David WORMS
Nov 8, 2018
Apache Flink: past, present and future
Categories: Data Engineering | Tags: Flink, Pipeline, Kubernetes, Machine Learning, SQL, Streaming
Apache Flink is a little gem which deserves a lot more attention. Let’s dive into Flink’s past, its current state and the future it is heading to by following the keynotes and presentations at Flink…
Nov 5, 2018
One week to discuss technology in a Moroccan riad
Categories: Adaltas Summit 2018, Learning | Tags: Flink, CDSW, Gatsby, React.js, Hadoop, Knox, Data Science, Deep Learning, Kubernetes, Node.js
Adaltas organise the year its first conference between the 22 and 26 of October. On the agenda of these 5 days of conference: discuss technology in one of the most beautiful riad of Marrakech. Mix the…
By David WORMS
Oct 11, 2018
Nvidia and AI on the edge
Categories: Data Science | Tags: Caffe, Edge computing, GPU, NVIDIA, AI, Deep Learning, Keras, PyTorch, TensorFlow
In the last four years, corporations have been investing a lot in AI and particularly in Deep Learning and Edge Computing. While the theory has taken huge steps forward and new algorithms are invented…
By Yliess HATI
Oct 10, 2018
Deploying a secured Flink cluster on Kubernetes
Categories: Big Data | Tags: Flink, Encryption, Kerberos, HDFS, Kafka, Elasticsearch, SSL/TLS
When deploying secured Flink applications inside Kubernetes, you are faced with two choices. Assuming your Kubernetes is secure, you may rely on the underlying platform or rely on Flink native…
By David WORMS
Oct 8, 2018
KVM machines for Vagrant on Archlinux
Categories: DevOps & SRE | Tags: Arch Linux, KVM, Linux, Virtualization, VM, Vagrant
Vagrant supports different providers to manage virtualization. In a Linux environment, you can dramatically improve VM performance by using the libvirt provider and the KVM hypervisor. This tutorial…
Sep 19, 2018
Lando: Deep Learning used to summarize conversations
Categories: Data Science, Learning | Tags: Micro Services, Open API, Deep Learning, Internship, Kubernetes, Neural Network, Node.js
Lando is an application to summarize conversations using Speech To Text to translate the written record of a meeting into text and Deep Learning technics to summarize contents. It allows users to…
By Yliess HATI
Sep 18, 2018
Clusters and workloads migration from Hadoop 2 to Hadoop 3
Categories: Big Data, Infrastructure | Tags: Slider, YARN, Erasure Coding, Rolling Upgrade, HDFS, Spark, Docker
Hadoop 2 to Hadoop 3 migration is a hot subject. How to upgrade your clusters, which features present in the new release may solve current problems and bring new opportunities, how are your current…
Jul 25, 2018
Deep learning on YARN: running Tensorflow and friends on Hadoop cluster
Categories: Data Science | Tags: YARN, GPU, Hadoop, MXNet, Spark, Spark MLlib, Deep Learning, PyTorch, TensorFlow, XGBoost
With the arrival of Hadoop 3, YARN offer more flexibility in resource management. It is now possible to perform Deep Learning analysis on GPUs with specific development environments, leveraging…
Jul 24, 2018
Curing the Kafka blindness with the UI manager
Categories: Big Data | Tags: Ambari, Ranger, Hortonworks, HDP, HDF, JMX, UI, Kafka
Today it’s really difficult for developers, operators and managers to visualize and monitor what happens in a Kafka cluster. This articles covers a new graphical interface to oversee Kafka. It was…
Jun 20, 2018
A CoreOS development cluster with Vagrant and VirtualBox
Categories: Hack, Infrastructure | Tags: Arch Linux, CoreOS, Linux, VirtualBox, etcd, Vagrant
Following CoreOS’s instructions on how to set up a development environment in VirtualBox did not work out well for me. Here are the steps I followed to get Container Linux up and running with Vagrant…
Jun 20, 2018
Guide to Keybase encrypted directories
Categories: Cyber Security, Hack | Tags: Cryptography, Encryption, File system, Keybase, PGP, Authorization
This is a guide to using Keybase’s encrypted directories to store and share files. Keybase is a group, file and chat application who’s goal is to bring public key crypto based on PGP to everyone in…
Jun 18, 2018
Data Lake ingestion best practices
Categories: Big Data, Data Engineering | Tags: NiFi, Data Governance, HDF, Operation, Avro, Hive, ORC, Spark, Data Lake, File Format, Protocol Buffers, Registry, Schema
Creating a Data Lake requires rigor and experience. Here are some good practices around data ingestion both for batch and stream architectures that we recommend and implement with our customers…
By David WORMS
Jun 18, 2018
Apache Hadoop YARN 3.0 – State of the union
Categories: Big Data, DataWorks Summit 2018 | Tags: YARN, GPU, Hortonworks, Hadoop, HDFS, MapReduce, Cloudera, Data Science, Docker, Release and features
This article covers the ”Apache Hadoop YARN: state of the union” talk held by Wangda Tan from Hortonworks during the Dataworks Summit 2018. What is Apache YARN? As a reminder, YARN is one of the two…
May 31, 2018
Accelerating query processing with materialized views in Apache Hive
Categories: Business Intelligence, DataWorks Summit 2018 | Tags: Calcite, Druid, OLAP, Hive, Release and features, SQL
The new materialized view feature is coming in Apache Hive 3.0. Jesus Camacho Rodriguez from Hortonworks held a talk ”Accelerating query processing with materialized views in Apache Hive” about it…
May 31, 2018
YARN and GPU Distribution for Machine Learning
Categories: Data Science, DataWorks Summit 2018 | Tags: YARN, GPU, Machine Learning, Neural Network, Storage
This article goes over the fundamental principles of Machine Learning and what tools are currently used to run machine learning algorithms. We will then see how a resource manager such as YARN can be…
By Grégor JOUET
May 30, 2018
TensorFlow on Spark 2.3: The Best of Both Worlds
Categories: Data Science, DataWorks Summit 2018 | Tags: Mesos, YARN, C++, CPU, GPU, Tuning, Spark, JavaScript, Keras, Kubernetes, Machine Learning, Python, TensorFlow
The integration of TensorFlow With Spark has a lot of potential and creates new opportunities. This article is based on a conference seen at the DataWorks Summit 2018 in Berlin. It was about the new…
By Yliess HATI
May 29, 2018
Apache Metron in the Real World
Categories: Cyber Security, DataWorks Summit 2018 | Tags: Algorithm, NiFi, Solr, Storm, pcap, RDBMS, HDFS, Kafka, Metron, Spark, Data Science, Elasticsearch, SQL
Apache Metron is a storage and analytic platform specialized in cyber security. This talk was about demonstrating the usages and capabilities of Apache Metron in the real world. The presentation was…
May 29, 2018
Running Enterprise Workloads in the Cloud with Cloudbreak
Categories: Big Data, Cloud Computing, DataWorks Summit 2018 | Tags: Cloudbreak, HDP, Operation, Hadoop, AWS, Azure, GCP, OpenStack
This article is based on Peter Darvasi and Richard Doktorics’ talk Running Enterprise Workloads in the Cloud at the DataWorks Summit 2018 in Berlin. It presents Hortonworks’ automated deployment tool…
May 28, 2018
Omid: Scalable and highly available transaction processing for Apache Phoenix
Categories: Big Data, DataWorks Summit 2018 | Tags: Omid, Phoenix, Transaction, ACID, HBase, SQL
Apache Omid provides a transactional layer on top of key/value NoSQL databases. In practice, it is usually used on top of Apache HBase. Credits to Ohad Shacham for his talk and his work for Apache…
May 24, 2018
Apache Beam: a unified programming model for data processing pipelines
Categories: Data Engineering, DataWorks Summit 2018 | Tags: Apex, Beam, Flink, Pipeline, Spark
In this article, we will review the concepts, the history and the future of Apache Beam, that may well become the new standard for data processing pipelines definition. At Dataworks Summit 2018 in…
May 24, 2018
Present and future of Hadoop workflow scheduling: Oozie 5.x
Categories: Big Data, DataWorks Summit 2018 | Tags: Sqoop, HDP, REST, Hadoop, Hive, Oozie, CDH
During the DataWorks Summit Europe 2018 in Berlin, I had the opportunity to attend a breakout session on Apache Oozie. It covers the new features released in Oozie 5.0, including future features of…
May 23, 2018
What's new in Apache Spark 2.3?
Categories: Data Engineering, DataWorks Summit 2018 | Tags: Arrow, PySpark, Tuning, ORC, Spark, Spark MLlib, Data Science, Docker, Kubernetes, pandas, Streaming
Let’s dive into the new features offered by the 2.3 distribution of Apache Spark. This article is a composition of the following talks seen at the DataWorks Summit 2018 and additional research: Apache…
May 23, 2018
Essential questions about Time Series
Categories: Big Data | Tags: Druid, Grafana, IOT, HBase, Hive, ORC, Data Science, Elasticsearch
Today, the bulk of Big Data is temporal. We see it in the media and among our customers: smart meters, banking transactions, smart factories, connected vehicles … IoT and Big Data go hand in hand. We…
By David WORMS
Mar 18, 2018
Execute Python in an Oozie workflow
Categories: Data Engineering | Tags: REST, Oozie, Elasticsearch, Python
Oozie workflows allow you to use multiple actions to execute code, however doing so with Python can be a bit tricky, let’s see how to do that. I’ve recently designed a workflow that would interact…
Mar 6, 2018
Publishing guidelines
Categories: DevOps & SRE | Tags: Arch Linux, KVM, Markdown, VM, Vagrant
This is as much a set of guidelines targeting everyone publishing content on the web as rules for reviewers to ensure no validation is forgotten before submitting for publication. It mostly targets…
By David WORMS
Feb 28, 2018
Ambari - How to blueprint
Categories: Big Data, DevOps & SRE | Tags: Ambari, Ranger, Automation, DevOps, Operation, REST
As infrastructure engineers at Adaltas, we deploy Hadoop clusters. A lot of them. Let’s see how to automate this process with REST requests. While really handy for deploying one or two clusters, the…
Jan 17, 2018
Notes after Katacoda Training on Kubernetes Container Orchestration
Categories: Containers Orchestration, Learning | Tags: Helm, Ingress, Kubeadm, CNI, Micro Services, Minikube, Kubernetes
A few weeks ago, I dedicated two days to follow the turorials available on Katacoda, the interactive learning platform for Kubernetes or any other container orchestration platform. I’m sharing my…
By David WORMS
Dec 14, 2017
Scaling massive, real-time data pipelines with Go
Categories: Open Source Summit Europe 2017, Learning | Tags: Algorithm, Data structures, Go Lang, Pipeline, Protocols, Network
Last week at the Open Source Summit in Prague, Jean de Klerk held a talk called Scaling massive, real-time data pipelines with Go. This article goes over the main points of the talk, detailing the…
Nov 21, 2017
Mesos Introduction
Categories: Containers Orchestration, Open Source Summit Europe 2017 | Tags: Mesos, GPU, Container Orchestration, CUDA, Data Science, Docker
Apache Mesos is an open source cluster management project designed to implement and optimize distributed systems. Mesos enables the management and sharing of resources in a fine and dynamic way…
Nov 15, 2017
Micro Services
Categories: Cloud Computing, Containers Orchestration, Open Source Summit Europe 2017 | Tags: Mesos, CNCF, DNS, Encryption, gRPC, Istio, Linkerd, Micro Services, MITM, Service Mesh, Kubernetes, Proxy, SPOF, SSL/TLS
Back in the days, applications were monolithic and we could use an IP address to access a service. With virtual machines (VM), multiple hosts started to appear on the same machine with multiple apps…
By David WORMS
Nov 14, 2017
