Python
Python is a dynamic, interpretive and scripted programming language. It was developed at the beginning of the 1990s by Guido van Rossum. Today, this language is being developed as an open-source project by many developers worldwide, led by Guido through the Python Software Foundation (PSF). The goal of the language is to develop an easy-to-learn programming language producing an intuitive and readable code while remaining as powerful as other established programming languages.
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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
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
Modern Python part 3: run a CI pipeline & publish your package to PiPy
Categories: DevOps & SRE | Tags: Git, GitHub, Unit tests, CI/CD, Python, Release and features
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
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Modern Python part 2: write unit tests & enforce Git commit conventions
Categories: DevOps & SRE | Tags: Git, Unit tests, pandas, Python
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
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Modern Python part 1: start a project with pyenv & poetry
Categories: DevOps & SRE | Tags: Git, Unit tests, Python, Release and features
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
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Apache Liminal: when MLOps meets GitOps
Categories: Big Data, Containers Orchestration, Data Engineering, Data Science, Tech Radar | Tags: Data Engineering, Deep Learning, CI/CD, Data Science, 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
TensorFlow Extended (TFX): the components and their functionalities
Categories: Big Data, Data Engineering, Data Science, Learning | Tags: Beam, Data Engineering, Deep Learning, Pipeline, CI/CD, Data Science, 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
Faster model development with H2O AutoML and Flow
Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python
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Dec 10, 2020
Experiment tracking with MLflow on Databricks Community Edition
Categories: Data Engineering, Data Science, Learning | Tags: Deep Learning, Spark, Databricks, 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…
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Introducing Apache Airflow on AWS
Categories: Big Data, Cloud Computing, Containers Orchestration | Tags: Airflow, Oozie, PySpark, Learning and tutorial, 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
Optimisation 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: Deep Learning, AWS, Azure, Databricks, Deployment, Machine Learning, MLflow, MLOps, Python, Scikit-learn
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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
Internship Data Science & Data Engineer - ML in production and streaming data ingestion
Categories: Data Engineering, Data Science | Tags: Flink, DevOps, Hadoop, HBase, Kafka, Spark, 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…
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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
TensorFlow installation on Docker
Categories: Containers Orchestration, Data Science, Learning | Tags: CPU, Deep Learning, Jupyter, Linux, AI, 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, Hive, JDBC, LLAP, Hadoop, Kafka, Release and features
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Jul 25, 2019
Auto-scaling Druid with Kubernetes
Categories: Big Data, Business Intelligence, Containers Orchestration | Tags: EC2, Druid, CNCF, Container Orchestration, Data Analytics, Helm, Metrics, OLAP, Operation, Cloud, 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
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…
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First Class Functions in Python
Categories: Hack, Learning | Tags: Programming, Python
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Apr 15, 2019
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Categories: Data Engineering | Tags: Hive, Thrift, JDBC, Hadoop, Spark, SQL
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Mar 25, 2019
Applying Deep Reinforcement Learning to Poker
Categories: Data Science | Tags: Algorithm, Deep Learning, Gaming, Q-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…
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Monitoring a production Hadoop cluster with Kubernetes
Categories: DevOps & SRE | Tags: Thrift, Elasticsearch, Graphana, Shinken, Hadoop, Knox, Cluster, Docker, Kubernetes, Node, Node.js, Prometheus, Python
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Categories: Data Science, Adaltas Summit 2018, Learning | Tags: Database, Infrastructure, MySQL, Machine Learning, Node.js, Python
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Categories: Infrastructure | Tags: Ansible, Ambari, Automation, HDP, REST, Cluster, Vagrant
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Categories: Data Science, Learning | Tags: Deep Learning, Micro Services, Open API, Kubernetes, Neural Network, Node.js
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By Yliess HATI
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TensorFlow on Spark 2.3: The Best of Both Worlds
Categories: Data Science, DataWorks Summit 2018 | Tags: Mesos, YARN, C++, CPU, GPU, JavaScript, Tuning, Spark, Keras, Kubernetes, Machine Learning, Python, TensorFlow
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Apache Beam: a unified programming model for data processing pipelines
Categories: Data Engineering, DataWorks Summit 2018 | Tags: Apex, Beam, Flink, Pipeline, Spark
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May 24, 2018
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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, PySpark, Tuning, Spark, Spark MLlib, Data Science, Docker, Kubernetes, pandas, Streaming
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Categories: Data Engineering | Tags: Oozie, Elasticsearch, REST, Python
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Categories: Containers Orchestration, DevOps & SRE, Open Source Summit Europe 2017 | Tags: Ansible, Docker Compose, pip, Shell, YAML, Docker
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Oct 25, 2017
Cloudera Sessions Paris 2017
Categories: Big Data, Events | Tags: EC2, Cloudera, Altus, CDSW, SDX, PaaS, Azure, CDH, Data Science
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
HDP cluster monitoring
Categories: Big Data, DevOps & SRE, Infrastructure | Tags: Alert, Ambari, HDP, Metrics, Monitoring, REST
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Jul 5, 2017
Get in control of your workflows with Apache Airflow
Categories: Big Data, Tech Radar | Tags: Airflow, DevOps, Cloud, Python
Below is a compilation of my notes taken during the presentation of Apache Airflow by Christian Trebing from BlueYonder. Introduction Use case: how to handle data coming in regularly from customers…
Jul 17, 2016
Splitting HDFS files into multiple hive tables
Categories: Data Engineering | Tags: Flume, HDFS, Hive, Oozie, Pig, SQL
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E-commerce electronic cigarettes: first impressions with Prestashop
Categories: Tech Radar | Tags: HTML, Java, Node.js
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By David WORMS
Jul 25, 2012
Node.js is now integrated to the Microsoft Azure platform
Categories: Cloud Computing, Tech Radar | Tags: Linux, Azure, Cloud, Node.js
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By David WORMS
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Categories: Front End, Node.js | Tags: HTTP, JavaScript, Server, Node.js
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