Metadata has made the news for great things and not so great things. What does the future look like for this informational and findability tool? The answer may be in traditional data warehousing principles. Upside brought this to our attention in their article, “Where Next for Metadata.”
Data lakes have a reputation of being the most poorly managed data stores. However, ironically, the industry has finally understood the need for metadata. Metadata is prescribed to make data usable and useful to both business and IT.
The data management and governance principles of relational-based data warehousing are ripe for resurrection. Data lakes have their own issues. One reason metadata seldom gets beyond the basic technical variety in data warehousing is that it was usually implemented as a separate, IT-driven sub-project in an often-overstretched program. As a result, most data warehouses have only the metadata related to ETL (extract, transform, and load) processes and none left for the business.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
