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  • When: October 4, 2017
  • Time: Beings 11:00 AM WET (GMT + 1hrs)
  • Where: Live Stream from Anywhere!
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IBM BLU for Spark an Event store for the next generation of Applications


G11 - IBM BLU for Spark an Event store for the next generation of Applications

Session Number: 5317
Track: Data Tech Summit
Session Type: Podium Presentation
Primary Presenter: Namik Hrle [IBM]
Time: Oct 04, 2017 (11:00 AM - 12:00 PM WET)

Speaker Bio: Namik Hrle is IBM Fellow and works in the IBM Boeblingen Laboratory. He is a member of the IBM Academy of Technology, IBM Fellows Leadership Team, SWG Architecture Board Steering Committee and many other IBM's expert teams. He specializes in analytics and information management technology and its usage by the enterprise applications. He works closely with the IBM labs worldwide and helps customers deploy and optimally exploit analytics and information management products. He is currently developing IBM DB2 Analytics Accelerator which augments DB2 with industry leading complex query performance and appliance simplicity.
Audience experience level: Beginner, Intermediate, Advanced
Presentation Platform: Cross Platform
Presentation Category: Emerging Technology (cloud, mobile, ...)
Audiences this presentation will apply to: Application Developers, Data Architects, Database Administrators, Systems Programmers, New Users, IT Managers
Objective 1: Introduce Attendees to Event driven Applications and their impact on Database deployments in the future 
Objective 2: Introduce customers the BLU for Spark Project and how this will revolutionise how you work with event driven data
Objective 3: Introduce emerging use cases for this style of deployment that companies will use to differentiate themselves in the market

Abstract:  This presentation provides a deep dive into he next generation of IBM data store for handling real time event applications from IoT to new Event Sourcing applications. The Store is built on the Open source Spark platform and Object storage and can ingest Millions of transactions per second and provide Highspeed analytics on transactional data in real time. Perfect for Event sourcing applications than need the velocity and volume of data this platform can handle and for Structured Data Lake applications such as Internet of things.

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Expert Panels 

Have your questions answered directly by an esteemed expert panel of IBM strategists and developers, consultants and independent DB2 users!

By hosting again three separate Expert Panels (z/OS, LUW and App Dev / Analytics), the questions will not only be more relevant to you, but we'll effectively increase the number that can be asked.

Collecting Questions

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Panel Members and Moderators

Db2 for z/OS Panel members:

  • John Campbell, IBM
  • Steve Thomas, CA
  • Terry Purcell, IBM
  • Julian Stuhler, Triton Consulting
  • Thomas Baumann, Swiss Mobilar
  • Kurt Struyf, Sudasoft

Db2 for LUW Panel members:

  • Keri Romanufa, IBM
  • Ian Bjorhovde, Data Proxy LLC
  • Iqbal Goralwalla, Triton Consulting
  • Michael Tiefenbacher, ids-System GmbH
  • David Kalmuk, IBM
  • Roger Sanders, IBM

App Dev / Analytics Panel members:

  • Chris Crone, IBM
  • Henrik Loeser, IBM
  • Jane Man, IBM
  • Nigel Slinger, IBM
  • Fred Sobotka, FRS
  • Tony Andrews, Themis Inc.

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