From mining to machine learning, each form of advanced analytics has its own requirements for how data must be managed. Failing to satisfy these requi...
Taming BI and Analytics Chaos: The Data Catalog to the Rescue!
Learn how a data catalog makes it easy to find and understand data, the best use cases for a data catalog, and how to implement and leverage a data ca...
Why DMaaS Is the Future of Data Management
Using DMaaS for effective data management, security, and better decision making.
The Automated Business Glossary: Part and Parcel of BI Intelligence
Learn what a business glossary is and why it is needed, how it tames BI chaos, why it must be part of the BI suite, three tech components that should ...
Best Practices for Data Management with DataOps
To get the best out of data, follow these five DataOps implementation tips.
Banking on Semantic Technology: AI-Powered Data Quality Balances Fraud Prevention and Customer Excellence
Deeper data connections protect compliance and optimize the customer experience in real time.
Reshaping Data Management for a Hybrid, Multicloud World
Three trends that were at the forefront of both the Cloudera Analysts conference and Strata Data.
Five Things to Focus on for Faster MDM Results
To speed up your MDM, you need to get the "soft stuff" right: what works in the real world is a business-oriented, balanced, holistic approach.
The Eight Worst Practices in Master Data Management and How to Avoid Them
Master data management is about more than just data and processes.
Should a Graph Database Be in Your Next Data Warehouse Stack?
As interest grows in new technologies, many enterprises are reconsidering their data warehouses. What makes graph databases different from traditional...
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