Chapter 3 of Spark with JavaΒ 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 […]

Chapter 9 still covers Spark ingestion (like chapter 7 and chapter 8), but this time, it’s aboutΒ  “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 […]

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 […]

Spark Summit Europe 2017 just concluded, here, in Dublin. More than 102 speakers, 1200 attendees, and an impressive Databricks team attended the 3-day long celebration. Spark is reaching a new […]

NCDevCon is a yearly event in the Triangle, targeted for developers of all breeds, from front-end to back-end. Its origin starts in the ol’ days of Adobe ColdFusion, and thus […]

Summer has been busy and it’s now behind us. I won’t annoy you with all the details of what happened but I wanted to come back on a project I […]