February 12, 2019

Jeff Carpenter and Amanda Moran discuss the big questions the DataStax Developer Advocate team hears most frequently from our developer community, and introduce a series of episodes to answer questions about application development.

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February 12, 2019

Patrick and Holden talk about the highlights of Spark 2.4, what's coming in Spark 3, and why code reviewers are vital to open source projects.

January 9, 2019

How do you ingest from an existing relational database (RDBMS) to an Apache Cassandra or DataStax Enterprise cluster?

What about a one-time batch loading of historical data vs. streaming changes?

January 8, 2019

In this episode Jeff talks with Max Melnick about how he got into analytics consulting with Deloitte (no, he's not an accountant), and how the Mission Graph capability Deloitte has built on top of DataStax Enterprise helps analysts leverage...

January 4, 2019

We asked a few of our Developer Advocates to share some highlights from what has been a super busy, super rewarding year serving our developer community and what they’re excited about for the coming year.

January 3, 2019

Over the past couple of months, we’ve released new versions of our C/C++ drivers for DataStax Enterprise (v1.6.0+) and Apache Cassandra (v2.10.0+). These releases fundamentally changed the internals of the C/C++ drivers and are the biggest...

January 2, 2019

Différents profils assistent aux Developers Days organisés par DataStax et pas uniquement des développeurs. Nous interviewons aujourd'hui Mr Grain, architecte qui nous explique les cas d'usages qu'il entrevoit pour une banque.

December 18, 2018

After running 6 DataStax Developer Days Events in multiple cities around the world,  Patrick McFadin and Cedrick Lunven take a few minutes to wrap up, provide some developer feedbacks and trendy technical subjects before opening perspectives for...

December 17, 2018

Part 3 of this blog series will focus on how to do text analytics with DataStax Enterprise Analytics, Apache Cassandra™, Apache Spark™, PySpark, Python, and Jupyter Notebooks.

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