BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20240319T030707Z DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi ty.net/sessionPop.cfm?confid=126&proposalid=10515\n
NOTE: This seminar is continued from Thursday afternoon.
\nA deliberate architecture for d ata integration helps keep projects on schedule and on budget; improves dat a quality and data governance; and increases business users’ confiden ce in data. But many companies resort to a trial-and-error method of gather ing data that is disorganized and incomplete. In this workshop, you’l l learn how to design a hybrid integration architecture that supports data, application, and cloud integration. Data may be stored in relational, colu mnar, or in-memory DBMS, NoSQL, or Hadoop; logical DW, data lake, or data h ub; data virtualization; data services, both inter- and intra-enterprise; a nd, within analytical processes (data blending or preparation). We will rev iew and contrast integration use cases and best practices spanning technolo gies. We will review roles and responsibilities of IT, data science te ams, “citizen” data scientists, and business “power&rdquo ; users.
\nKey topics:
\n\n Underlying concepts and architectures\n Use cases and best fit technologies\n Best and pragmatic practices\n Roles and responsibilities of integrators\n\nMany enterprises have siloe d integration efforts that are redundant and overlapping. This tutorial wil l discuss, contrast, and match various types of integration use cases, arch itectures, technologies, and products.
\n DTSTART:20190322T083000 SUMMARY:Designing a Deliberate Architecture for Data Engineering, Data Inte gration, Application Integration, and Data Preparation DTEND:20190322T114459 LOCATION: See Description END:VEVENT END:VCALENDAR