Advisor

Future Metadata Frameworks Offer Enhanced Digital Business Solutions

Posted January 16, 2019 | Technology |

The increasing importance of a coherent organizational strategy to maximize the exploitation of data for grow­ing a digital business is clear. There is a need to locate, consolidate, classify, and access the necessary data — often data of many different formats stored in different areas of the enterprise as well as external data — to drive many different aspects of a successful digital business. To achieve these types of capabilities in an efficient and scalable manner, the digital business needs to be able to identify, extract, transform, contextualize, and dis­tribute the necessary data. The data warehouse or data lake is a critical part of this data ecosystem, and many different aspects of the digital business can exploit this resource in a consistent way by means of a shared metadata framework.

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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