DataStax Developer Blog

Patrick McFadin and Jeff Carpenter from the DataStax Developer Relations team chat about what talks they want to attend at conferences in general and what abstracts they would love to see community members submitting for DataStax Accelerate's Call for Papers. 

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?

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.

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 releases for the driver since the initial 1.0.0 release. They included a complete refactor of the internal components and increased test coverage. The refactor has to lead to substantially improved performance, decreased resource utilization, and it has enabled us to better unit test internal components.

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.

We've just released version 4.0 of the DataStax Node.js Driver for Apache Cassandra and version 2.0 of the DataStax Enterprise Node.js Driver.

Let's have a look at some of the noteworthy features and changes in these releases.

I'm excited to announce the release of the new Node.js Object Mapper for Apache Cassandra. This new object Mapper lets you interact with your data like you would interact with a set of documents.

In this simple Tutorial we will walk through enabling the new DSE Metrics Collector demo using a DataStax Enterprise (DSE) 6.7 Docker Container, exporting the metrics to a Prometheus Docker Container and visualizing these metrics using a Grafana Docker container.

As a Solutions Engineer at DataStax, I often hear the question from new customers: how do I know that all of my data is loading correctly in my DataStax Enterprise (DSE) cluster? This is especially important when data governance is important or when DSE becomes the System of Record.

GraphQL has become more and more popular among developers to implement APIs (specially frontend developers) as it brings both simplicity and discoverability on the client side. But, what about server side? If you have already worked with Apache Cassandra™ you know that designing the proper data model is key. You also know that you need to know your queries very well in order to ensure performance. Is it possible to create an API on top of Apache Cassandra with GraphQL allowing only valid queries? Let's have a look.