Events
As fervent supporter and active contributors to the Open Source community, we attend several meetups and conferences. Every consultant participate to a minimum of two international conferences every year. We even organize our own event which we open to anyone wanting to join us.
Whenever we find the time, we write feedbacks about the events and detailed articles about the presented technologies. This include new products being introduced and additionnal functionnalities present in future releases.
Latest events coverage
Data versioning and reproducible ML with DVC and MLflow
Categories: Data Science, DevOps & SRE, Events | Tags: Data Engineering, Git, Databricks, Delta Lake, 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
Running Apache Hive 3, new features and tips and tricks
Categories: Big Data, Business Intelligence, DataWorks Summit 2019 | Tags: Druid, Hive, Kafka, JDBC, LLAP, Release and features, Hadoop
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
Google Cloud Summit Paris Notes
Categories: Events | Tags: AWS, Cloud, GCP, Kubernetes, Azure, 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
Gatsby.js, React and GraphQL for documentation websites
Categories: Adaltas Summit 2018, Front End | Tags: API, Gatsby, GraphQL, HTTP, JAMstack, JavaScript, Markdown, Node.js, React.js, SEO
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
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
CodaLab – Data Science competitions
Categories: Data Science, Adaltas Summit 2018, Learning | Tags: Database, Infrastructure, MySQL, Node.js, Machine Learning, 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++, JavaScript, Kerberos, Node.js, NPM
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
Hadoop cluster takeover with Apache Ambari
Categories: Big Data, DevOps & SRE, Adaltas Summit 2018 | Tags: Ambari, Automation, HDP, iptables, Kerberos, Nikita, Node.js, REST, Systemd, Cluster, Node
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
One week to discuss technology in a Moroccan riad
Categories: Adaltas Summit 2018, Learning | Tags: Flink, CDSW, Deep Learning, Gatsby, Node.js, React.js, Hadoop, Knox, Kubernetes
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
Apache Hadoop YARN 3.0 – State of the union
Categories: Big Data, DataWorks Summit 2018 | Tags: HDFS, MapReduce, YARN, Cloudera, Docker, GPU, Hortonworks, Release and features, Hadoop
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, Hive, OLAP, 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, Spark, YARN, C++, CPU, GPU, JavaScript, Tuning, 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, HDFS, Kafka, NiFi, Solr, Spark, Storm, Elasticsearch, pcap, RDBMS, Metron, 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, OpenStack, Operation, Hadoop, AWS, GCP, Azure
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: ACID, Omid, Phoenix, Transaction, 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, Spark, Pipeline
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: Hive, Oozie, Sqoop, HDP, REST, Hadoop, 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, ORC, Spark, PySpark, Docker, Streaming, Tuning, Spark MLlib, Kubernetes, pandas
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
Scaling massive, real-time data pipelines with Go
Categories: Open Source Summit Europe 2017, Learning | Tags: Algorithm, Data structures, Go, Network, Pipeline, Protocols
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, Container, Container Orchestration, CUDA, Docker, GPU
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, Proxy, Service Mesh, Kubernetes, 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
Lightweight containerization with Tupperware
Categories: Containers Orchestration, Open Source Summit Europe 2017, Infrastructure | Tags: Zookeeper, Btrfs, LXD, Red Hat, Systemd, Cloud, Consensus
In this article, I will present lightweight containerization set up by Facebook called Tupperware. What is Tupperware Tupperware is a homemade framework written and used internally at Facebook…
Nov 3, 2017
Apache Thrift vs REST
Categories: DevOps & SRE, Open Source Summit Europe 2017 | Tags: Thrift, gRPC, HTTP, JSON, REST
Adaltas recently attended the Open Source Summit Europe 2017 in Prague. I had the opportunity to follow a presentation made by Randy Abernethy and Jens Geyer of RM-X, a cloud native consulting company…
Oct 28, 2017
Kubernetes Storage Primitives for Stateful Workloads
Categories: Cloud Computing, Containers Orchestration, Open Source Summit Europe 2017 | Tags: Docker, Container Storage Interface (CSI), PVC, GCE, Kubernetes, Azure, Storage
This article is based on the presentation “Introduction to Kubernetes Storage Primitives for Stateful Workloads” from the OSS Convention Prague 2017 by the {Code} team. So, let’s start, what is…
Oct 28, 2017
Nobody* puts Java in a Container
Categories: Containers Orchestration, Open Source Summit Europe 2017, Infrastructure | Tags: cgroups, Docker, Java, JRE, JVM, Namespaces
This talk was about the issues of putting Java in a container and how, in its latest version, the JDK is now more aware of the container it is running in. The presentation is led by Joerg Schad…
Oct 28, 2017
From Dockerfile to Ansible Containers
Categories: Containers Orchestration, DevOps & SRE, Open Source Summit Europe 2017 | Tags: Ansible, Docker, Docker Compose, pip, Shell, YAML
This talk was an introduction to the Dockerfile format and to Ansible container’s tool and then a comparison of both. It was hold by Tomas Tomecek from Red Hat’s containerization team. The Dockerfile…
Oct 25, 2017
Multi-Repo, Multi-Node Gating at Massive Scale
Categories: Cloud Computing, DevOps & SRE, Open Source Summit Europe 2017 | Tags: Ansible, CI/CD, Infrastructure, Jenkins, OpenStack, Red Hat, Zuul
This is a recap and personal review of Monty Taylor’s presentation of OpenStack’s Continuous Integration tool Zuul at the OpenSource Summit 2017 in Prague (not to mix with Netflix’ Zuul project…
Oct 24, 2017
Kubernetes 1.8
Categories: Containers Orchestration, Open Source Summit Europe 2017 | Tags: containerd, CRD, Network, OCI, RBAC, Release and features, Kubernetes
The 1.8 release of Kubernetes brings a lot of new things. With 2500+ pull request, 2000+ commits, 400+ commiters, Kubernetes added 39 new features in this version. This is the richest release in terms…
Oct 24, 2017
Cloudera Sessions Paris 2017
Categories: Big Data, Events | Tags: EC2, Cloudera, Altus, CDSW, SDX, PaaS, CDH, Azure
Adaltas was at the Cloudera Sessions on October 5, where Cloudera showcased their new products and offerings. Below you’ll find a summary of what we witnessed. Note: the information were aggregated in…
Oct 16, 2017
Apache Apex with Apache SAMOA
Categories: Data Science, Events, Tech Radar | Tags: Apex, Flink, Samoa, Storm, Tools, Hadoop, Machine Learning
Traditional Machine Learning Batch Oriented Supervised - most common Training and Scoring One time model building Data set Training: Model building Holdout: Paremeter tuning Test: Accuracy Online…
Jul 17, 2016
Apache Apex: next gen Big Data analytics
Categories: Data Science, Events, Tech Radar | Tags: Apex, Flink, Kafka, Storm, Tools, Hadoop, Data Science, Machine Learning
Below is a compilation of my notes taken during the presentation of Apache Apex by Thomas Weise from DataTorrent, the company behind Apex. Introduction Apache Apex is an in-memory distributed parallel…
Jul 17, 2016