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RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

Automation First as a Strategy for Data Warehouse Modernization: Achieving Productivity and Flexibility via Modern Tools and Methods

Webinar Speaker: Philip Russom, Senior Research Director for Data Management

Date: Thursday, September 19, 2019

Time: 9:00 a.m. PT, 12:00 p.m. ET

Most of the hype around data warehouse modernization today focuses on warehouse platforms – the database management systems, Hadoop clusters, clouds, and other data platforms where warehouse data is stored and managed. These are important sources of many recent advancements. However, to get the greatest business value and technology innovation from a modernized data warehouse, organizations must also modernize the tools and methods surrounding the warehouse.

For example, data warehouse professionals are under pressure to prototype sooner, deploy solutions faster, create designs that more flexibly adapt as the business changes, and achieve better alignment with business goals. These development pressures are just as urgent as platform pressures for greater capacity, more varied data structures, and less expensive storage. Data warehouse automation is all about modern tooling that enables data and operations professionals to work with modern productivity and flexibility.

Attend this webinar to learn about:

  • What data warehouse automation is and does
  • Various manifestations of data warehouse modernization and how they work together
  • How an “automation first” strategy will enable your data warehouse modernization program to achieve development and operations goals, not just platform goals
  • How modern tools and methods can yield better warehouse development and operations productivity, flexibility, innovative designs, and warehouse-to-business alignment
  • Key modernization techniques for pipelining, data modeling, and cloud migration
  • How metadata-backed automation can modernize, standardize, document, and safeguard current projects while accelerating future ones
  • Real-world use cases and value propositions for data warehouse modernization

Philip Russom, Ph.D.

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