Building a flexible information management foundation is critical to meeting the needs of mission-critical applications. Learn how to be in the forefront of the latest market requirements such as big data and analytics, optimized systems, mobile, cloud, and governance.
Sessions in this focus area will cover emerging technologies to manage and exploit big data such as Apache Hadoop, stream computing, and visualization and analytics solutions. Deep technical sessions targeting information strategists, enterprise architects, data scientists, solution developers and architects will be included.
This track will cover the breadth of IBM database and data management portfolio and will include topics for DB2 for z/OS, DB2 for Linux/Unix/Windows, IMS and Informix. Attendees will learn how IBM solutions can reduce the cost and complexity of managing your data, improving business agility, and leverage data as a core asset. Get the latest information from the labs on key new offerings such as DB2 with BLU Acceleration, DB2 11 for z/OS, IMS 13, DB2 Analytics Accelerator 4, Informix 12.1 and more.
Learn how IBM solutions can streamline data management, from requirements to retirement, while delivering industry-leading performance and lowering administration, storage, development, and server costs. In-depth technical sessions will address these three core areas:
Data Warehousing is in an evolution. Why? The Era of Big Data is upon us and this changes everything. In the early days of data warehousing and business intelligence, we learned how to leverage data for smarter decisions. Today in the "data economy" data is the new natural resource to be tapped not only for smarter decisions but a strategic edge. Data Warehousing today now encompasses ALL data and it's scope expands outside the walls of the traditional Enterprise Data Warehouse to include systems that allow us to tackle unstructured and streaming capabilities. Data Warehousing has moved from monolithic to an integrated ecosystem IBM calls the "Big Data Platform."
Sessions in the data warehouse track will include:
In the era of big data, organizations must understand their level of confidence before they are able to improve it. Information confidence results from information being trusted and protected. In this track, attendees will gain a deep understanding on how to leverage InfoSphere technology alongside an Information Governance strategy to build confidence in big data.
Sub tracks include:
This focus area explores "state of the art" enterprise and industry architectures, with an emphasis on exploiting emerging big data systems and infrastructure. These sessions take a total view and look at integrating all of the technologies from previous focus areas into enterprise architectures, will explore industry specific architectures, parallel processing, stream computing, mobile, cloud, deep analytics and much more. Deep technical sessions targeting the Chief Data Officer, Information Strategist, CTO, the enterprise architect, the information & data architect and solution developers will be included.
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