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TDWI Orlando Conference

T3A Data Architecture: Managing Information in the Age of Big Data

November 12, 2019

8:00 am - 11:15 am

Duration: Half Day Course

Prerequisite: None

Bring your data architecture in to the 21st century, one step at a time.

Traditional data warehouse architectures strain to meet the challenge of modern-day BI and analytics. Development teams can’t keep up with the demands of information-hungry knowledge workers. Yet all too often, architects “solve” the problem by adding a single box to their architecture diagram—one labeled “Hadoop.” The result is chaos and confusion.

In this course, you will learn the right way to architect a data management platform—one that is responsive to the needs of your business. Such a platform connects your architecture to the drivers of business impact through a capability-driven framework for BI and analytics that acknowledges OLAP, reporting, analytics, governance, data quality management, self-service solutions, and more.

Learn how to map out a modernized data architecture first and then map it to relevant technologies. Learn about non-relational data management platforms, the changing role of the data model, the place of virtualization, new strategies for metadata, adapting to changing development techniques, and how to cope with self-service demands.

You Will Learn

  • How to plan and document a modernized data architecture
  • Techniques to map standards and technology to architecture layers
  • How non-relational data platforms fit into new data architectures
  • The role of virtualization and cloud storage in your architecture
  • The changing role of the data model and metadata
  • How modern data pipelines support data integration requirements
  • How to adapt architecture to fit modern development techniques
  • How data architecture adjusts to support self-service BI and analytics

Geared To

  • This course is intended for anyone who contributes to data mart architecture, requirements, or development, including technology leadership (including CDO/CAO), BI and analytics program leadership, data architects and data modelers, data engineers and database administrators, and BI and analytics solution developers

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