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Metadata and Modeling Activities in the Enterprise

Posted August 14, 2019 in Business & Enterprise Architecture
Metadata and Modeling Activities in the Enterprise

The advent of big data technologies with an emphasis on the ease and speed of ingestion of large amounts of data into a data lake — as opposed to the often-complex traditional ETL processes for load­ing into a data warehouse — has meant far less focus on defining schemas or structures. The focus now shifts toward how to achieve an adequate level of governance of such data lakes. This is where the data catalog provides a central canonical reference point of business meaning to underpin any data governance activities of the data lake.

About The Author
Pat OSullivan
Pat O'Sullivan is a Senior Technical Staff Member for IBM Industry Models with 25 years’ data warehouse (DW)/industry models experience. He is responsible for various aspects of models integration with such technologies as data lake, big data/Hadoop, DW appliances, ETL tools, and master data management. Recently, Mr. O'Sullivan has been leading an initiative to incorporate machine learning into processes to integrate the IBM Industry Models into… Read More
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