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
Apache Spark, sometimes called the “analytics operating system,” is empowering organizations of all kinds through machine learning by helping them create unprecedented value from their data. Discover eight ways that Apache Spark’s machine learning capabilities are driving the modern business.
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.
The movie Deepwater Horizon that depicts the oil spill disaster of the same name serves as an example of how government agencies and corporations need to collect a lot of data and disseminate information immediately as events quickly unfold. Not only are all parties involved asked for a tremendous
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
Are you making the most of your enterprise content? Leverage the scalability and cost-effectiveness of the cloud and customize the user experience, enabling business users to work with content anywhere on devices of their choice.
Gartner’s first-ever Magic Quadrant for Strategic Corporate Performance Management Solutions positions IBM as a leader in SCPM, placing it farther along the completeness of vision axis than any other organization in the Leaders quadrant. Find out why by exploring the capabilities of IBM’s on-
Financial offices within organizations drive strategic planning and implementation that require enhanced insight into the business, the market and trends. Explore highlights from a recent IBM paper surveying C-suite executives and detailing the correlation between leaders deploying analytics
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
Organizational inertia and seemingly endless processes and procedures can be barriers to innovation and the timely decisions that help businesses progress. Lisa Bodell, award-winning author, innovation expert and CEO of futurethink, offers a provocative manifesto for a change revolution leveraging
Performance reporting is vital in performance management, but quite often the finance department has conflicting objectives with the owners of plans, budgets and forecasts. In this concluding installment of a two-part series, see how automated internal performance reporting can deliver real
As the data used by an enterprise grows in size, variety and importance, it is no longer acceptable that the gathering and maintenance of metadata remains an under-funded and neglected afterthought for data-driven organizations. Metadata management needs to become a key focus of an organization's