Short Courses

Explore and learn Apache Cassandra™ and DataStax Enterprise topics from our experts.

This document is a guide to getting started with DataStax Enterprise (DSE) in the Google Compute Engine (GCE) cloud. First, this guide will walk through the steps needed to deploy DSE-ready nodes in GCE, and then illustrates how to deploy DSE on those nodes using DataStax OpsCenter. Finally, the guide also discusses deployment considerations to take into account when mapping DSE high-availability features to GCE high-availability mechanisms. All of the scripts in this document, as well as the source-code for the document itself, can be found at the DataStax Partner Network GitHub site. Pull requests for any of the scripts used here, or for any part of this document are welcome.

DataStax Cloud Deployment Guides deliberately avoid the use of popular devops tools like puppet, chef or docker in order to show the step by step instructions required to get up and running from the most basic tools. That way administrators can adapt their own automation suites from the detailed instructions provided here.

Getting Started with Graph Databases contains a brief overview of RDBMS architecture in comparison to graph, basic graph terminology, a real-world use case for graph, and an overview of Gremlin, the standard graph query language found in TinkerPop.

KillrChat is an advanced hands-on exercise designed to show how to model data with Cassandra on a real world application.

This video is the 1st of 9 videos in a series about how to use Achilles, an open source object mapper for Apache Cassandra™ developers using Java.

On this page, you'll learn just enough to get started with NoSQL Apache Cassandra and PHP, including how to install, try out some basic commands and what to do next.

So, where do you get started with TinkerPop? How do you dive in quickly and get productive? Well - Gremlin, the most recognizable citizen of The TinkerPop, is here to help with this thirty minute tutorial. That’s right - in just thirty short minutes, you too can be fit to start building graph applications with TinkerPop. Welcome to The TinkerPop Workout - by Gremlin!

The standard description of Apache Spark is that it’s ‘an open source data analytics cluster computing framework’. Another way to define Spark is as a VERY fast in-memory, data-processing framework – like lightning fast. 100x faster than Hadoop fast. As the volume and velocity of data collected from web and mobile apps rapidly increases, it’s critical that the speed of data processing and analysis stay at least a step ahead in order to support today’s Big Data applications and end user expectations.

Spark Streaming is an extension of the core Spark API. Spark Streaming allows us to easily integrate real-time data from disparate event streams (Akka Actors, Kafka, S3 directories, and Twitter for instance) in event-driven, asynchronous, scalable, type-safe and fault tolerant applications.

On this page, you'll learn just enough to get started with NoSQL Apache Cassandra and Go, including how to install, try out some basic commands and what to do next.

On this page, you’ll learn just enough to get started with NoSQL Apache Cassandra and Clojure, including how to install, try out some basic commands and what to do next.