Adaltas is a team of consultants with a focus on Open Source, Big Data and distributed systems based in France, Canada and Morocco.
- Architecture, audit and digital transformation
- Cloud and on-premise operation
- Complex application and ingestion pipelines
- Efficient and reliable solutions delivery
Latest articles
Automate a Spark routine workflow from GitLab to GCP
Categories: Big Data, Cloud Computing, Containers Orchestration | Tags: Airflow, Spark, CI/CD, Learning and tutorial, GitLab, 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 et Delta Lake
Categories: Data Engineering, Data Science, Learning | Tags: Parquet, AWS, Amazon S3, Azure Data Lake Storage (ADLS), Databricks, Python, Delta Lake
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: Airflow, Oozie, Spark, PySpark, Docker, Learning and tutorial, AWS, 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: Container, Debug, Docker, Rook, Ceph, 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
Optimisation of Spark applications in Hadoop YARN
Categories: Data Engineering, Learning | Tags: Spark, Tuning, Hadoop, 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: Deep Learning, AWS, Databricks, Deployment, Machine Learning, Azure, MLflow, Python, Scikit-learn, MLOps
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: Deep Learning, Learning and tutorial, 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: Container, Debug, Docker, Linux, LXD, Kubernetes
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: Kafka, Ranger, Authorization, Cloud, REST, 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: Cloudera, Data Hub, Data Lake, Data Warehouse, Azure
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: Cloud, DevOps, AWS, CDP, Databricks, GCP, Azure
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, Kubernetes
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: HDFS, CLI, Learning and tutorial, REST, Ozone, Amazon S3
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, 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
Internship Data Science & Data Engineer - ML in production and streaming data ingestion
Categories: Data Engineering, Data Science | Tags: Flink, Kafka, Spark, DevOps, Hadoop, HBase, 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
InfraOps & DevOps Internship - build a Big Data & Kubernetes PaaS
Categories: Big Data, Containers Orchestration | Tags: Kafka, Spark, DevOps, LXD, NoSQL, Hadoop, Ceph, Kubernetes
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