The world of data platforms is forging forward with increasing velocity. To stay relevant in today’s Big Data conversation, technologies must implement features and enhancements at a swifter cadence than legacy technology. The only way this is possible is by orchestrating the worldwide execution of an open ecosystem of participants. Consider Apache Hadoop; this level of advancement would not be possible without a broad network of developers and engineers working together to rapidly innovate to solve new problems. In addition to just fixing the issues users have with Hadoop, the community is changing the perception of how users can leverage it. Once a go-to tool for large batch processing jobs, Hadoop is changing to address the needs of multiple workloads simultaneously such as streaming and interactive workloads all done at the same level of scale of the original batch jobs.
Is more better? Not always, but when it comes to more industry leaders contributing to the CloudU Big Data Massive Open Online Course (MOOC); more is definitely better. As CloudU continues to extend its reach beyond its online presence, the program will sponsor the first ever Open BigCloud and Open Compute Project (OCP) Workshop at The University of Texas in San Antonio (UTSA). The event will take place Wednesday, May 7 and Thursday, May 8 on the UTSA campus.
It is no accident that we have recently seen a surge in the amount of interest in big data. Businesses are faced with unprecedented opportunities to understand their customers, achieve efficiencies and predict future trends thanks to the convergence of a number of technologies.
In the last few years we have seen new distributions emerge, like MariaDB and Percona Server, as viable alternatives to MySQL. These new distributions create more choice for users with increased focus on performance and offer new configurations that empower users to push the limits of their database and optimize in new ways.
“Big Data” is one of the biggest buzzwords in the technology industry today – you can’t read the tech press or look at social media without seeing it. But what do we mean by Big Data, and what’s wrong with our old friend “little data” that has served us well for 30 odd years.
As promised last year, we are committed to simplifying database management with Rackspace Cloud Databases. Starting today you can customize configuration settings for Cloud Databases instances using the API or Trove command line tool. This capability allows you to optimize configuration settings based on the needs of your workload.