Apache Spark has become a hot topic in the world of Analytics. It is seen as a better performing alternative to Map/Reduce , and as a means to do analytics combining data across a wide set of data sources. This video is a excellent introduction to what Spark is, and how it works with DB2 for z/OS.
The Logical Data Warehouse is a data management architecture for analytics. It is a collection of data repositories and associated data services for management and access to data. IBM Fluid Query is a new software component that extends the concept of a federated query to Big Data.
The video below is a presentation recorded at the IDUG DB2 North America Tech Conference in May 2015. Netezza is a Data Warehouse Appliance which provides high performance on large volumes of data. Abhik Roy presents the Netezza architecture from a DBA perspective by comparing its features to DB2.
The modern enterprise data warehouse needs to be a heterogeneous mix of integrated software to handle a wide variety of data sources both structured, semi-structured and unstructured. The combination of DB2 with Hadoop is one approach that meets the needs for this diverse set of data.
The BLU Acceleration Technology introduced in DB2 10.5 brings with it a host of new monitoring considerations and metrics. This session will introduce you to the new monitoring capabilities that support BLU Acceleration and through practical examples will show you how you can leverage these in your