Business Analytics, Big Data and Systems of Engagement create new requirements that profoundly affect database management systems technology. Columnar orientation, in-memory databases, no-SQL stores, Spark and Hadoop integration are the key trends that have already proven their values in some of the most challenging application workloads. At the same time, traditional, relational database management systems are still irreplaceable foundations for a large majority of mission critical, core business applications.
Where do traditional IBM RDBMS offerings: DB2 for z/OS and DB2 for LUW fit in with these new technology trends and business requirements? What is IBM's strategy to remain the industry leader under the new conditions and to continue being the choice for the most demanding data serving workloads?
These questions will be answered in this keynote presentation which will discuss bringing together all data in all paradigms (transactional, analytical, unstructured, etc.).