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DB2 11 for z/OS comes with many performance enhancements. You may be surprised about its potential to improve throughput and to reduce total cost of ownership. But what is practically achievable for real life users? What can you expect to gain in terms of performance by moving to DB2 11? Cristian worked on the recent DB2 11 for z/OS performance redbook.

DB2 11 for z/OS introduces the concept of Application Compatibility to simplify migration. This session will introduce the concept and provide the information you need to know to exploit this new capability to simply your migration from DB2 10 to DB2 11. We will also cover how to exploit this new capability to identify changes you need to make to applications that may be affected by incompatible changes in DB2 11.

In this session we will take a look at where the market is heading, what questions companies are struggling with and how existing DB2 clients have uniquely positioned themselves to leverage their existing investment to make the transition to a Big Data Analytic Ecosystem and to a Hybrid Cloud Ecosystem a simple one. We will take a look at the roadmap for DB2 and how this can be leverage as part of a Big Data ecosystem, on-premise, in the cloud and how your DB2 investment can be leveraged as you expand your analytic ecosystem to include Hadoop and Spark.

Apache Spark is one of the most discussed data processing technologies nowadays. Spark is an open source in-memory application framework for distributed data processing and iterative analysison massive data volumes. Its support of popular programming languages, versatile data access APIs, excellent performance and scalability makes Spark the first choice for the new 'stars' in the IT community: data scientists, business analysts, data engineers.