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.
Beat the database migration status quo by adopting IBM Bluemix Lift, a self-service ground-to-cloud database migration offering that you can use to boost the speed, reliability and security of your database migration.
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
In a world overrun with competing local, national and global regulations touching every aspect of finance, compliance can seem elusive—even unattainable. Yet, modern financial institutions have the ability to not only survive but also thrive amid an ever-changing regulatory landscape. Discover how
IBM Bluemix Lift makes it easy to quickly, securely and reliably migrate your database from on-premises data centers to an IBM Bluemix cloud data property. Try IBM Bluemix Lift, and read more from the offering manager.
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
Database migration is not any database administrator’s idea of fun—not even close. By far, the database migration status quo can be the least interesting and most dreaded part of the job. Check out an advanced self-service, ground-to-cloud database migration offering for handling database migration
Despite big data’s hype, a significant number of organizations are still in a holding pattern—either locked in planning, hesitant to get started or wanting to avoid Apache Hadoop and Apache Spark projects. Complexity and a shortage of skills can exacerbate the situation. Increasingly, organizations
Join Martin Fleming, IBM’s chief analytics officer and chief economist, is exploring how cognitive capabilities help financial institutions adapt to an ever-changing regulatory landscape. To learn more about banking during the low-level equilibrium that besets the global economy, attend the Smarter
From risk averse to risk aware, communicating risk needs to be embedded into the entire business. Risk influencer Boris Agranovich provides his perspective on risk communication environments and offers six key tips for streamlining that communication to help achieve corporate compliance.
Many marketing concerns have seen the light when it comes to the application of big data analysis as a means of outthinking the competition. Discover three best practices for implementing big data analytics for good data science in marketing initiatives.
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