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: Adaltas Summit 2021, Infrastructure, Tech Radar | Tags: YARN, HDP, Infrastructure, Jupyter, Spark, CDP, Notebook, TDP
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Ansible variables: choosing the right location
Categories: DevOps & SRE | Tags: Infrastructure, Ansible, IaC, YAML
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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
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H2O in practice: a Data Scientist feedback
Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python
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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
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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…
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Introducing Apache Airflow on AWS
Categories: Big Data, Cloud Computing, Containers Orchestration | Tags: PySpark, Learning and tutorial, Airflow, Oozie, Spark, AWS, Docker, Python
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Mar 30, 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
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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…
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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
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Categories: Data Engineering, Learning | Tags: Apache Spark Streaming, Spark, Python, Streaming
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Machine Learning model deployment
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“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, Jupyter, Linux, AI, Deep Learning, Docker, TensorFlow
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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…
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Categories: Hack, Learning | Tags: Programming, Python
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Categories: Infrastructure | Tags: Ambari, Automation, HDP, REST, Ansible, Cluster, Vagrant
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Categories: Data Science, Learning | Tags: Micro Services, Open API, Deep Learning, Internship, Kubernetes, Neural Network, Node.js
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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…
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Categories: Data Engineering, DataWorks Summit 2018 | Tags: Arrow, PySpark, Tuning, ORC, Spark, Spark MLlib, Data Science, Docker, Kubernetes, pandas, Streaming
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Categories: Big Data, DataWorks Summit 2018 | Tags: Sqoop, HDP, REST, Hadoop, Hive, Oozie, CDH
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Cloudera Sessions Paris 2017
Categories: Big Data, Events | Tags: Altus, CDSW, SDX, PaaS, EC2, Azure, Cloudera, CDH, Data Science
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Categories: Big Data, Tech Radar | Tags: DevOps, Airflow, Cloud, Python
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Categories: Tech Radar | Tags: HTML, Java, Node.js
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