Read this blog post to see how a data catalog can accelerate data discovery, data preparation, and operationalization of data quality solutions.
Read this blog post to learn what augmented data lineage is and how business and analytical roles within enterprises can use it to find data and perform root cause analyses faster while avoiding corporate red tape.
Learn why crowdsourcing should come as step two in data catalog population and how automating metadata capture makes crowdsourcing more efficient.
Read this article to learn how we migrated a client’s metadata management solution to the Ataccama ONE Data Catalog and created an automated process for keeping metadata up to date.
Data lakes contain several deficiencies and bring about data discovery, security, and governance problems. Learn how implementing a data catalog can solve these problems.
Discover how Toronto Public Library implemented Ataccama ONE Data Quality Management to modernize data management practices across their library systems.