NOTE: This seminar co ntinues to Friday morning.
\nA deliberate architecture for data integ ration helps keep projects on schedule and on budget; improves data quality and data governance; and increases business users’ confidence in dat a. But many companies resort to a trial-and-error method of gathering data that is disorganized and incomplete. In this workshop, you’ll learn h ow to design a hybrid integration architecture that supports data, applicat ion, and cloud integration. Data may be stored in relational, columnar, or in-memory DBMS, NoSQL, or Hadoop; logical DW, data lake, or data hub; data virtualization; data services, both inter- and intra-enterprise; and, withi n analytical processes (data blending or preparation). We will review and c ontrast integration use cases and best practices spanning technologies. We will review roles and responsibilities of IT, data science teams, &ldq uo;citizen” data scientists, and business “power” users.< /p>\n
Key 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:20190321T141500 SUMMARY:Designing a Deliberate Architecture for Data Engineering, Data Inte gration, Application Integration, and Data Preparation DTEND:20190321T172959 LOCATION: See Description END:VEVENT END:VCALENDAR