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 […]

Eleven key elements of data science outcome

Before thinking about what is the outcome of data science, maybe I should take the two seconds I think it takes to define it. As how to define data science, […]

(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 […]

Microsoft SQL Server 2019 gets a Spark

Yesterday, during Ignite 2018, Microsoft announced that they will integrate Apache Spark more tightly with SQL Server 2019. If you missed previous announcements around SQL Server, it now runs on […]

Advanced Spark Ingestion

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 […]

Ingestion of data from databases into Apache Spark

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 […]

File Ingestion in Apache Spark

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 […]