The Fall IBM Chief Data Officer Summit brought together more thought leaders than ever before, with over 130 Chief Data Officers, Chief Analytics Officers, Chief Data Scientists and senior-level data executives convening to network, share experiences and discuss the latest technological
The combination of Jupyter Notebooks, Apache Hadoop and Apache Spark has become a killer app for data practitioners. It unlocks the ability to explore, visualize and experiment with both structured and unstructured data sets with great ease and efficiency. We spoke recently with Chris Snow at IBM
Many of us might be surprised to learn that some of the most familiar brand names around started off with other names. IBM recently renamed IBM DataWorks—its flagship, self-service data preparation offering—to IBM Bluemix Data Connect. Get a glimpse of it in this brief overview, and discover how
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.
Historical application of vector mathematics and the study of unstructured text data can be an important approach to understanding and actualizing the value of data. See how mathematical exploration of text data can unearth insight that translates into enhanced decision making.
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
Chris Snow, a data and application architect, enjoys helping customers with their data architectures and is working extensively on an open source app project in his spare time. Hear what Snow has to say about his IT experience spanning several industries, his current efforts with customers and his
The future of cognitive computing is bright and Chief Data Officers have the chance to lead the way for their organizations. Not just a science-fiction dream, machines that are experts, expressive, educated, and evolving have the potential to create a stunning reality by driving meaningful market
Now introducing the “Insight Ops” model. This new model will embrace and enable an agile environment for discovery and exploration and manage the transition necessary to deploy the insight to make it actionable.
The IBM dashDB Local warehouse solution combines a full range of data warehousing capabilities while delivering the levels of flexibility and control associated with the cloud. Begin your own free trial of dashDB Local today to discover how it can help you bring new levels of capability to your
Don’t let your business come to a standstill as a result of technical debt. Discover how a decision debt approach to tools and analytics help overcome the quick-fix solutions that contribute to technical debt and its impact on business.
Data scientists and others often encapsulate big data by its dimensions known as the four Vs: volume, variety, velocity and veracity. But when considering big data as a source for insight to enhance decision making, it may be best characterized by its three Cs—confidence, context and choice—with
Ubiquitous data is so easily generated, and for that reason many enterprises today are exceedingly challenged to handle it all successfully. Take a look at a comprehensive information lifecycle governance solution that can help prevent enterprises from becoming submerged in their own sea of data.