Nearly every web, mobile and Internet-of-Things (IoT) application has search functionality that helps its users locate the information they want. Whether it’s a retail web application that smartly guides its user through their buying decision process or a mobile entertainment app that seems to know what each particular user wants, search technology is behind the scenes, personalizing every experience.
Apache Spark™ is a fast and general engine for large-scale data processing. It runs everywhere—on Hadoop, Mesos, standalone, or in the cloud.
If you’ve read some of the recent coverage on Cassandra Summit 2015, the world’s largest distributed NoSQL conference, and have had a chance to speak to an attendee, you will understand exactly what the excitement is about.
If you ask someone who’s part of the DataStax Academy team, “What’s the DataStax Academy mission statement?”, they’d respond immediately with, “Train the world of developers and administrators on Apache Cassandra and DataStax.” A simple statement for a powerful vision.
Millions of people, objects and ‘things’ connecting with each other is changing the way organizations and consumers interact with each other and the environment around them.
With more than 1400 engineers, Impetus, a software solutions and services company, has been architecting and implementing big data solutions since 2007.
The Cassandra Summit is in full swing, featuring back-to-back training sessions packed with Apache Cassandra users across all experience levels ready to learn.
It is shaping up to be an interesting morning at the Cassandra Summit 2014, listening live to users from across the world share their stories.
In a recent post, Jonathan Ellis, CTO and DataStax Co-founder, talked about how modern applications are far more demanding than back in the 80’s and how Apache Cassandra can help organizations build applications with best-of-breed consistency and availability.