The Java driver team is pleased to announce the release of version 2.2.0-rc1, which brings parity with Cassandra 2.2. Here’s what the new Cassandra features change for driver users:
Tag Archives: DataStax
There are a lot of new features in the Node.js Driver for Apache Cassandra that we hope every Node.js developer will love.
Now, let’s have a more detailed look at the new features:
In this series we will build a simple app which runs on Express 4 and uses Apache Cassandra and the DataStax driver for a database solution. We will use Windows 7 as our OS.
In this video we will get everything installed including NodeJS, Apache Cassandra and GIT for Windows
Get the finished app here – https://github.com/bradtraversy/mysub…
Google Cloud Platform delivers the industry’s leading cloud-based services to create anything from simple websites to complex applications. DataStax delivers Apache Cassandra™, the leading distributed database technology, to the enterprise. Together, DataStax Enterprise on Google Cloud Platform delivers the performance, agility, infinite elasticity and innovation organizations need to build high-performance, highly-available online applications.
Join Allan Naim, Global Product Lead at Google Cloud Platform and Darshan Rawal, Sr. Director of Product Management at DataStax as they share their expertise on why DataStax and Google Cloud Platform deliver the industry’s most robust Infrastructure-as-a Service (IaaS) platform and how your organization find success with NoSQL and Cloud services.
View to learn how to:
– Handle more than 1 Million requests per second for data-intensive online applications with Apache Cassandra on Google Cloud Platform
– Leverage the technology infrastructure and global network powering Google’s search engine with DataStax to deploy blazing-fast and always-on applications
– Transform your business into a data-driven company, a change that is critical as future success and discoveries hinge on the ability to quickly take action on data
DataStax Enterprise’s 4.5 release in the summer of 2014 enabled near real time analytics alongside transactional (and search) capabilities. This empowers you to deliver fast and personalized experiences to your customers via near real time in-memory analytics alongside transactional (either in-memory or disk-based) access.
With the 4.6 release of DSE Analytics, streaming capabilities are enabled which provides close to real time analytics and opens up opportunities for further contextualizing experiences in use cases such as personalization, fraud detection and messaging use cases. This post serves as a short tutorial on how to get started with streaming in DataStax Enterprise.