TDWI Chicago Conference

F4P Comparing Data Platforms: Platform Your Workloads for SuccessNEW!

May 11, 2018

12:15 pm - 3:30 pm

Duration: Half Day Course

Prerequisite: None

We must grow the data capabilities of our organizations to fully manage the many and varied forms of data. This cannot be accomplished without an intense focus on the many and growing technical bases that can be used to store, view, and manage data. There are more platformsthan ever that have merit in organizations today.

Consider this list of possibilities:

  • Enterprise data warehouse
  • Dependent, independent, and analyticaldata marts
  • Operational, open source, in-memory, GPU, and columnar databases
  • Cloud storage
  • Multidimensional databases
  • Stream processing
  • Master data management
  • (Hadoop) data lake
  • Hadoop analytics workloads
  • Training data for machine learning and artificial intelligence (AI)
  • NoSQL and new SQL databases
  • Operational data store
  • Graph databases

This class sorts out the valuable data stores, how they work, what workloads they are good for, and how to build the data foundation for a modern competitive enterprise.

You Will Learn

  • Knowledge about all major data platforms for your corporate data
  • The role of data integration and data virtualization
  • Steps in moving to the desired platforms and architecture

Geared To

  • Project managers, business sponsors, business data owners, lead architects; anyone with a role that contributes to information architecture; business analysts; chief data officers

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TDWI Chicago

Hilton Chicago
Chicago, IL
May 6–11


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