RESEARCH & RESOURCES

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

Data Warehouse Automation: Driving Business Value for the Future of Data Warehousing

TDWI Speaker: David Loshin, President of Knowledge Integrity

Date: Tuesday, January 19, 2016

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

Webinar Abstract

While many believe that the maturation of end-user tools supporting visualization, reporting, and analytic signals the imminent demise of the data warehouse, nothing could be farther from the truth. The increasing business user demand for information highlights the need for a centralized nerve center provided by the organization’s data warehouse. In turn, the future data warehouse requires technologies that accelerate design and development, improve cycle time in producing reports and analyses, and enhance the IT-business collaboration.

Data warehouse automation (DWA) tools blend user requirements and repeatable processes to automatically generate the components of a data warehouse environment. These tools simplify the end-to-end production of a data warehouse, encompassing the entire development life cycle, including source system analysis, design, development, generation of data integration scripts, building, deployment, generation of documentation, testing, support for ongoing operations, impact analysis, and change management.

In this webinar we will discuss how DWA simplifies the evolution of the enterprise data warehouse by reducing complexity in data warehouse design, development, and deployment. We will explore practices for establishing the value proposition for DWA, integrating it into the environment, and how adopting it will establish the foundation for the future of data warehousing.

Attendees will learn about:

  • Analyzing report development cycle time
  • Comparing data warehouse alternatives
  • Architecting a hybrid environment
  • Agility in ingesting new data sources
  • How DWA changes the role of the Business Intelligence Competency Center

David Loshin

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