How I built the perfect data science team

When I assembled my first data science team, the term was barely getting printed in the Harvard Business Review. I had no clue that I was building a team pioneering […]

Spark in Action’s Chapter Eleven on Working with SQL is in MEAP

A new chapter of Spark in Action, 2e, (formerly known as Spark with Java) is available. Chapter 11 is titled “Working with SQL”. In chapter 11, you will explore how […]

(Almost) All you need to know about file ingestion in Apache Spark

As you may know, I start writing Apache Spark with Java (now renamed Spark in Action, 2nd edition). Usually, as the book develops, authors share a few excerpt of the book […]

What is Apache Spark, the podcast

A couple of weeks ago, I chatted about Apache Spark with Tobias Macey on data engineering on more specifically Apache Spark. Tobias Macey runs the data engineering podcast, which you can directly […]

Checklist for All Things Open (ATO)

The checklist is updated for ATO 2019! All Things Open 2018 (ATO 2018), a premier open source conference, will open its doors on October 21st 2018 in the Raleigh Convention Center, […]

Lazy is good: understand why it’s good for you that Spark is lazy

This new chapter, chapter 4, of Spark with Java (https://www.manning.com/books/spark-with-java) is not only about celebrating laziness, it also teaches, through examples and experiments, the fundamental differences in building a data […]

The majestic dataframe in Apache Spark

Chapter 3 of Spark with Java is focusing on the dataframe. There is something majestic with Apache Spark’s dataframe, like those mountains of Montana. Apache Spark revolves around the concept of […]