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H2O in practice: a Data Scientist feedback
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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…
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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…
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Spark Streaming part 1: build data pipelines with Spark Structured Streaming
Categories: Data Engineering, Learning | Tags: Apache Spark Streaming, Big Data, Streaming, Kafka, Spark
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What's new in Apache Spark 2.3?
Categories: Data Engineering, DataWorks Summit 2018 | Tags: Arrow, ORC, PySpark, Streaming, Tuning, Spark, Spark MLlib, Data Science, Docker, 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