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Data Governance in the Big Data & Hadoop World
White Paper
Amidst vast data lakes and a high velocity of incoming data, enterprises are finding that despite the procedures, policies, and systems that are already in place, their data governance frameworks still aren’t delivering the insights needed to drive smart business decisions. Pain points such as privacy and security, appropriate permissions, and labor-intensive data mining processes are challenging general data governance frameworks that do not allow for flexibility or agility.
Hadoop can be an excellent framework to support a large data storage repository with immense processing power. The key to success is understanding how to unleash Hadoop’s powerful storage capabilities.
This white paper reveals:
- Common data governance challenges, with suggestions on how to overcome them
- A detailed study of data governance structure, including best practices
- Hadoop governance challenges, with mitigation tactics for minimizing risk
- Data governance case studies that span several industries
Download this white paper to learn more about cutting-edge, emerging procedures and technologies for maximizing the value of your data, as well as harnessing Hadoop to make big data work for your organization.
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BlogFive Signs It’s Time for a Data Governance Update
Read EPAM’s technology-focused overview on how to solve confidentiality, integrity and data availability challenges with a comprehensive big data governance framework on Hadoop.
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In the NewsMore Data isn’t the Problem – It’s Less Security
In this insideBIGDATA article, EPAM’s Head of Big Data Practice Val Tsitlik explains the importance of protecting the privacy of customers and partners as demand for raw data is higher than ever before.
