E.g., 12/09/2018
E.g., 12/09/2018
Episode 76
Dec 04, 2018 • By: Amanda Moran

What’s new in DSE 6.7! Information and discussion about DSE Metric Collector, improvements to Search, improvements to back-up and point-in-time restore, and finally the long awaited DSE Kafka connector!

Dec 04, 2018 • By: Caroline George



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.

Nov 28, 2018 • By: Cedrick Lunven

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.

Episode 75
Nov 27, 2018 • By: Adron Hall

In this episode Adron Hall speaks with Luc Perkins about his work at the CNCF, Kubernetes, and where projects are heading and what projects they're working on. Adron also speaks with Luc about docs, projects he's been seeing that are really interesting, skeleton code for projects, and lot's of other topics.

Episode 74
Nov 20, 2018 • By: Jeff Carpenter

Over the past 4 years, Caroline has worked as a solutions engineer to help many customers adopt Apache Cassandra and DataStax Enterprise. In this episode Caroline shares how these conversations with those customers have changed over time, from an initial focus on scaling out databases, to an emphasis on microservices architecture, to a high level interest in using machine learning to get insights from data.

Episode 73
Nov 13, 2018 • By: Adron Hall

In this episode Adron talks with Travis about starting and working site reliability in a large retail enterprise. They tackle topics ranging around outages, database sizing, monitoring and observability, disparate workloads and migrations between cloud providers. Then Travis and Adron head into discussion about distributed cache and some of the questions we would need to ask to determine the functionality needed. The episode then wraps up with a few outtakes at the end.

Episode 72
Nov 06, 2018 • By: Patrick McFadin

Patrick welcomes Shogo Hoshii to the show to learn why Yahoo Japan is running over 200 clusters of Apache Cassandra and why NoSQL databases are starting to gain momentum in Japan.

 

Oct 31, 2018 • By: Amanda Moran

Part 2 of this blog series will focus on how to get DataStax Enterprise Analytics with Apache Cassandra™ and Apache Spark™, Jupyter Notebooks, and all the required Python package dependencies set up via Docker.

 

 

Oct 30, 2018 • By: Adron Hall

In this post, we explore a quick look at our DataStax Academy Developer Days. We've held a few of the Developer Days already in New York City and Washington DC, and just wrapped up two more Chicago, Illinois and Dallas, Texas! Next up are London and Paris, which we're really looking forward to. Teaching developers and practitioners at the Developer Days have been just as rewarding for us as getting a chance to learn about what everybody out there in the industry is working on!

Episode 71
Oct 30, 2018 • By: Patrick McFadin

Patrick McFadin talks with “Cassandra Archaeologist” Carlos Rolo of Pythian about best practices for upgrades in Apache Cassandra clusters.