The IBM and IDUG Data Tech Summit at Silicon Valley Lab will provide in-depth technical training on DB2 for z/OS, Analytics and Machine Learning.  Make your plans to attend and experience the latest in DB2 technologies, networking opportunities and the technical content you need to be successful.

This event will start on Monday morning at 9:00 am pacific time on Monday, November 6th and end on Wednesday, November 8th at approximately 3:30 pm.

 

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Partial List of Sessions from the Db2 for z/OS Tracks:

  • Db2 for z/OS Trends & Directions
  • Db2 12 Migration Planning & Experiences - Part 1
  • Db2 12 Migration Planning & Experiences - Part 2
  • Db2 for z/OS Continuous Delivery: How to Safely Embrace Change
  • Db2 Utilities Update and Strategy
  • DevOps and Cloud Provisioning for Db2 z
  • DB2 12 Dynamic (and some Static) Plan Stability
  • Db2 Performance Deep Dive
  • Db2 & z14 Synergy
  • Db2 12 What's New from the Optimizer
  • Overview of Db2 SQL Enhancements
  • Db2 for z/OS Modern Application Development
  • Db2 for z/OS in a Micro Services Architecture 
  • Modernizing the Architecture of Db2 for z/OS-Accessing Applications
  • Db2 for z/OS Security in the Cloud & Mobile Area
  • Real Time Query Performance with Db2 for z/OS
  • Db2 REST API and z/OS Connect - SQL/Stored Procedures Play a Role in Mobile and API Economics
  • Db2 Utilities - Customer Experiences
  • Self-managing Db2 environments
  • Recovery Best Practices
  • Reactive->Proactive->Predictive Application Management
  • Modern Data Movement Techniques
  • End to end system monitoring
  • To sort or not to sort - What's the best option
  • What’s new in change management

Partial List of Sessions from the Analytics & Machine Learning Track:

Analytics

  • Db2 Analytics Accelerator Trends & Directions
  • Zero Latency with Db2 Analytics Accelerator HTAP
  • Integration of Apache Spark for Analytics
  • Virtual Db2 Analytics Accelerator – Technical Overview
  • Sailfish based Db2 Analytics Accelerator – Technical Overview
  • Db2 for z/OS Analytics Accelerator Client Use Cases
  • Analytics Client Roundtable
  • z/OS in-place analytics and self-Service BI for the enterprise
  • Hands on workshop - Fast visualizations and dashboards with QMF

Machine Learning

  • Overview of Machine Learning and Demo
  • Machine Learning for z/OS Trends and Directions
  • Machine Learning for z/OS Architectural Advantage
  • Applying Machine Learning to the Business
  • Leveraging QMF as part of your Machine Learning Initiative
  • Machine Learning Workshops