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TDWI Orlando Conference

W7P Cloud Data Architecture Patterns: Powering Enterprise AnalyticsNEW!

November 13, 2019

2:15 pm - 5:30 pm

Duration: Half Day Course

Prerequisite: None

Creating an enterprise data architecture that can deliver analytics capabilities requires understanding the strengths and weaknesses of database technologies, their deployments, and the roles they perform. SQL database technologies have a variety of analytics optimizations and maturity while more recent NoSQL data technologies fulfill analytics needs beyond the RDBMS. Now database services built on cloud-native architectures take advantage of cloud’s elasticity and scalability.

This course is intended to educate attendees on these technologies and a methodology for creating data architectures based on polyglot persistence and other architecture principles. This knowledge will empower you to make the decisions necessary to build a hybrid or multicloud data architecture that encompasses your data warehouse, data lake, analytics sandboxes, data science platforms, MDM, and enterprise data hub needs.

You Will Learn

  • Differences between SQL databases for analytics (MPP, columnar, in-memory)
  • Capabilities of analytics NoSQL databases and appropriate use cases for each (graph, document, Spark, object stores)
  • Options for cloud databases and managed services in Amazon Web Services, Azure, and Google Cloud Platform
  • How to design an optimal hybrid/multicloud data architecture

Geared To

  • Enterprise architects, data architects, database administrators, technologists, analytics leaders, CIO/CDOs

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