Today we released into DataStax Labs the DataStax Java Driver Spring Boot Starter. This starter streamlines the process of building standalone Spring-based applications that use...
We recently announced availability of DataStax Distribution of Apache Cassandra on Microsoft Azure aimed at helping developers take advantage of a simpler, more cost-effective way to build and scale applications. We wanted to take our experience...
Apache Spark! Darling of the Big Data world and the easiest entry point into Machine Learning. It's fast, it's cool, and it's hip. So many great things, but should you be using it in your stack?
After 2+ years of hard work from the community, Apache Cassandra 4.0 is in the final stages of testing for official release. As the biggest gathering of...
As developers, knowledge is the main thing that holds us back. The phrase “the more you know” has never been truer. From learning new languages and technologies to better understanding the theory around them, we must expand our...
So you want to experiment with Apache Cassandra and Apache Spark to do some Machine Learning, awesome! But there is one downside, you need to create a cluster or ask to borrow someone else's to be able to do your experimentation… but...
As a software industry veteran I’ve s̶e̶e̶n̶ / e̶x̶p̶e̶r̶i̶e̶n̶c̶e̶d̶ / i̶n̶f̶l̶i̶c̶t̶e̶d̶ / been victimized by any number of inventive approaches to integrating and testing distributed systems, so the title of this post is a bit tongue-in-cheek...
Lightweight transactions are extremely powerful when used correctly. They not only enable you to use a highly durable distributed system in an ACID-like way, but they also allow you to do it with ease. In this blog, we'll explore lightweight...