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Data quality management and governance News
December 12, 2019
By buying data prep vendor Paxata, DataRobot plans to fill out its machine learning and AI platform with tools to automate data prep processes and provide an underlying data fabric.
November 05, 2019
Data stored in a data lake can be an important asset, but understanding how the data is being used, or in some cases not used, is another challenge altogether.
October 01, 2019
The new updates also bring about native Hadoop distributed file system workspaces within Immuta and more ways to integrate Immuta with other applications and tools.
August 29, 2019
Data management consultant Donna Burbank outlines how effective data governance hinges on the deployment of a comprehensive enterprise data architecture.
Data quality management and governance Get Started
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Organizations can bolster data governance efforts by tracking the lineage of data in their systems. Get advice on how to do so and key features in data lineage tools. Continue Reading
Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems. Continue Reading
Data quality is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date. Continue Reading
Evaluate Data quality management and governance Vendors & Products
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GDPR and CCPA have put data governance in the news recently. With this increase in legislation on data, now is a great time to review your company's data governance policies. Continue Reading
The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves. Continue Reading
Enterprise data catalogs record all the databases and files in a corporation, but sometimes it can become out of date. Advances in AI are helping minimize the problem. Continue Reading
Manage Data quality management and governance
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Instead of waiting for data quality to become an issue, consider a proactive approach. Here are some ways to improve data quality in your organization before it becomes a problem. Continue Reading
Citizen data scientists and self-service analytics are on the rise as the data scientist shortage continues. Here are some data management best practices to support them. Continue Reading
This handbook provides advice on creating data catalogs to help data analysts and other users find information in corporate systems, plus insight on data catalog trends. Continue Reading
Problem Solve Data quality management and governance Issues
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Consultant David Loshin offers tips on developing a data quality strategy that can help identify data errors before they cause big business problems. Continue Reading
Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. Continue Reading