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 […]

Chapter 9 still covers Spark ingestion (like chapter 7 and chapter 8), but this time, it’s about  “anything can become a Spark datasource.” When I was working for Zaloni, we […]

Chapter 8 of Spark with Java is out and it covers ingestion, as did chapter 7. However, as chapter 7 was focusing on ingestion from files, chapter 8 focus on […]

In a typical Big Data analytics scenario, you will probably be tempted to ingest files. You know, those pesky CSV files where the comma is sometimes a semicolon or a […]

Apache Spark has been a game changer for distributed data processing, thanks to an easy to understand API, a focus on simplicity, and an adoption of modern infrastructure. However, rumors […]