Real-time analytics is rapidly changing the landscape for deployment of decision support capability. The challenges of supporting extreme service levels in the areas of performance, availability, and data freshness demand new methods for data warehouse construction. Particular attention is paid to architectural topologies for successful implementation and the role of frameworks for Microservices deployment. In this workshop we will discuss evolution of data warehousing technology and new methods for meeting the associated service levels with each stage of evolution.
webmaster-liz2019-06-05T05:22:02+00:00Categories: Data Management, Big Data, Executive Curriculum Advanced Electives, Innovation & Technology (CTO) Advanced Electives, Data Governance Advanced Electives, Data Engineering Level 1, AI Engineering Level 1, Data Science Level 3, Data Governance Level 3, Innovation & Technology (CTO) Level 3, Executive Level 3, Stephen Brobst, Data Science Curriculum Advanced Electives, AI Engineering Curriculum, All Academy Courses, Data Engineering Curriculum|Tags: Management, Business, Expert, Tech, Workshop, Stephen Brobst|