Data models for developing data warehouses need to evolve for managing and defining data lakes. This first installment of a blog series on charting the data lake introduces the potential role of data models in data lake environments and how they need to take an active role in defining and managing
On the heels of several key announcements to broaden the IBM Cloud Data Services portfolio, see how a wide range of technologies can be implemented in a cloud-based, data warehouse architecture to support operational and analytical workloads.
SQL-on-Hadoop offerings, such as IBM InfoSphere BigInsights with Big SQL, can help IT departments leverage their existing expertise to move into the big data world. A new Big SQL technology preview is available so you can try it out for yourself.
Data management has undergone significant change ever since the introduction of online transaction processing systems (OLTP) some 50 years ago. The level of change during this period, however, has not been uniform. There have been times when data management technologies and products became
As I wrote in Part 1 of this blog series, big data and analytics can help companies develop the “digital oilfield”— integrated operations that unite operational technology (OT) with information technology (IT) to improve decision making and enhance operational and business performance. Adding