There’s a lot to love about open-source technology. Based on the idea that a community of people can iterate on and improve something better than a single person, team, or even company, open-source promises continuous innovation and community support.
Data is a potent business resource and the key to gaining and maintaining competitive advantage. Last month, IBM and Hortonworks announced a partnership to bring data science to the world on an open platform, offering Hortonworks Data Platform (HDP) along with IBM Data Science Experience (DSX) and
Why has IBM created its own distribution of Apache Hadoop and Apache Spark, and what makes it stand out from the competition? We asked Prasad Pandit, program director, product management, Hadoop and open analytics systems, at IBM to give us a tour of the reference architecture for IBM Open Platform
IBM extended Big SQL, which was formerly exclusive to the IBM Open Platform (IOP), to the Hortonworks Data Platform (HDP) in September 2016. I recently spoke with Berni Schiefer, an IBM fellow in the IBM Analytics group, to learn more about the offering and the ongoing IBM focus on SQL.
Although formerly exclusive to the IBM Hadoop Platform, the extension of Big SQL to the Hortonworks Data Platform (HDP) meets the challenge of complex data warehousing queries on Hadoop. See what Paul Yip, worldwide product strategy for Hadoop and Spark at IBM, has to say about what this transition
Performing programmatic actions on data across services is quite possible in today’s technology ecosystem. And now, the transfer of data across services such as the dashDB data warehouse and deploying it in new environments is also possible. However, the questions often asked by customers center on
Openness was a common refrain at Insight 2015, and the opportunities of open systems, technologies and the IBM analytics platform are abundant. Check out some observations from the conference and a few shining examples from its demo center.
IBM® InfoSphere BigInsights upcoming release includes Big SQL 3.0, bringing performance, security and improved ROI to Hadoop projects. This is an important leap forward to seamlessly transitioning analytic applications from relational database management systems (RDBMS) to Hadoop distributions. In
Despite the rise in popularity of big data technologies like Hadoop, organizations today face a serious big data skills shortage. In this video, Christy Maver of IBM Big Data marketing discusses how the IBM Big Data Quick Start Program provides free, non-production downloads of key big data
If your new year resolutions include getting more familiar with big data and honing your skills, here’s a quick, easy-to-scan glimpse of some highlights you might have missed during your holiday celebrating. Think of these resources as items on the grab-and-go aisle in the café. Add a latte and get
It’s hard to have a conversation about big data without talking about Hadoop. Sure, it can be done. You can discuss how big data is all data, how big data without analytics is just “same ol’ data”, or how the implications of governing big data are even more severe than in a traditional environment