Modern data analysis i s moving past the Data Warehouse to the Data Lake to utilize emerging techn ologies for predicting behavior, not just reporting on what has passed. Thi s presentation will cover the component architecture of the Data Lake for D ata Scientists, for Big Data Analytics, and for Real-Time Streaming Operati ons, and how it is different from and works with the other data application s in the organization.
\nUsing my experiences with implementing Data Lakes, this session will cover various Data Lake Architectures and best pra ctices in Data Lake Governance.
\n\n Data Lakes, their uses, and architectural components\n How Data Lakes are different from Data Warehouses\n Architecture of a Data Scientist Sandbox\n Architecture of a Big Data Analytics Lake\n Architecture of a Real-Time Streaming Operation\n Components needed for Data Lake Governance\n Components Needed for Hadoop Data Governance\n Data Catalog and Data Services\n\n DTSTART:20180423T083000 SUMMARY:Components of an Effective Data Lake Architecture DTEND:20180423T114459 LOCATION: See Description END:VEVENT END:VCALENDAR