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Data quality management and governance News
June 25, 2020
At the Spark + AI Summit 2020, Starbucks and health IT vendor Cerner Corp. outlined how they use Databricks' Data Lake architecture to accelerate data analytics.
May 29, 2020
Talend users from Covanta and AutoZone provide insight into data management challenges amid growing data complexity at the Talend Connect virtual conference.
April 30, 2020
As data continues to grow across different sources, speakers at the Fast Data Strategy virtual summit outline how a logical data fabric approach can help.
April 14, 2020
With organizations of all sizes coping with the impact of COVID-19, the importance of enterprise data governance and chief data officers is coming into sharper focus.
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Public cloud technology has evolved, but business leaders still worry about its ability to manage and protect their data. Learn how Data Custodian may help. Continue Reading
Consultants detail 10 to-do items for data management teams looking to create a data strategy to help their organization use data more effectively in business operations. Continue Reading
Data governance (DG) is the process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal data standards and policies that also control data usage. Continue Reading
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The chief data officer role is appearing in more industries and changing in responsibilities. Experts talk about the ways the position is evolving across enterprises. Continue Reading
Well-conceived governance programs injected with data integration tools can overcome the inherent distrust companies have in their own data stored in multiple systems. Continue Reading
Data cleansing is an important part of maintaining data quality, and the process is easier if you keep ahead of it by upholding governance and quality standards. Continue Reading
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Many enterprise data governance processes have been around for a while. Read on for ways a modern approach can be beneficial, and preview a new book that can update your strategy. Continue Reading
Manual data integration can still benefit small and medium businesses, but a prolonged manual process can slow and detract from actionable work by data professionals. Continue Reading
By laying down proper groundwork and investing in automated checks, companies can ease the data preparation process and ensure they are getting the most out of their data. Continue Reading
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Maintaining data governance and data security best practices is essential now more than ever. But the increase in working from home can put a strain on those practices. Continue Reading
Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. Continue Reading
Consultant Anne Marie Smith details five challenges that an organization may face in applying data governance policies to data lakes and offers advice on how to overcome them. Continue Reading