In this episode, you will learn about doing a basic ETL (extract, transform, and load) operation using Apache Spark. You will load a basic CSV file with Apache Spark, make…

I just wanted to share with you the latest update on Spark in Action, second edition What’s new? Chapter 12, “Transforming your data” Chapter 13, “Transforming entire documents” Appendix K,…

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…