Get the Scoop on NETEZZA, IDAA, BIGDATA and HADOOP
Session Number: 331
Track: Technical Networking Opportunities
Session Type: Technical Networking
Primary Presenter: Vladimir Bacvanski [Founder - SciSpike]
Co-Presenter: Guogen Zhang [IBM Silicon Valley Lab]
Co-Presenter 2: Leon Katsnelson [IBM]
Speaker Bio: Dr. Vladimir Bacvanski has over two decades of experience architecting and developing enterprise and other advanced software systems using advanced databases and data access technologies. He has been consultant, trainer, and mentor to companies such as IBM, Dell, Hewlett Packard, JP Morgan Chase, Northwestern Mutual, Nokia, Lucent, Nortel Networks, General Electric, BAE Systems, AMD, and others. Vladimir is coauthoring an upcoming book on Domain Modeling. He is a member of the IBM Customer Advisory Council and has the title of the IBM Information Champion.
Dr. Guogen (Gene) Zhang is a Distinguished Engineer in DB2 for z/OS development at IBM Silicon Valley Lab. He is the chief architect and development lead responsible for the pureXML and SQL query technology in DB2 for z/OS, and has delivered important functionality including pureXML, complex queries, MQTs, and analytics features in DB2 for z/OS, including IDAA V2.1. He is a frequent speaker in many conferences, such as IOD and IDUG, and has been deeply involved in providing solutions to customers using pureXML and other DB2 technologies.
Leon Katsnelson has been around DB2 since 1993. He has held various roles as a product planner, development manager, and product manager. Leon has extensive experience helping customers with connectivity and application development. In his current role he leads the team focused on cloud computing and Big Data and other emerging technologies.
Audience experience level: Beginner, Intermediate, Advanced
Presentation Category: Emerging Technology
Presentation Platform: Cross Platform
Audiences this presentation will apply to: Application Developers, Data Architects, Database Administrators, Systems Programmers, New Users, IT Managers
Technical areas this presentation will apply to: Data Warehousing and Business Intelligence
Objective 1: Integration of Big Data with traditional systems: architecture, people, technology
Objective 2: Strategies for early success with Big Data
Objective 3: Introducing Big Data into a conventional organization
Abstract: The data warehouse world is rapidly evolving due to the high demand for more advanced analytics and the velocity, volume and variety of data from numerous sources. Curious about how this flood of data will impact you and your company? Come to this SIG for a lively discussion on the latest advances in data warehousing and analytics and how these changes will affect DB2 professionals.
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