Okera Delivers Industry’s First Real-Time Actionable Insights into Data Lakes

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According to a new press release, “Okera, a leading active data management platform that enables companies to discover, audit, and protect data at scale, today announced Okera Spotlight for Amazon Web Services (AWS) users, the first and only solution to provide full visibility with real-time and continuous audit of your Amazon Simple Storage Service (S3) data lake. Okera Spotlight applies tagging rules to automatically identify sensitive data and provides access patterns across the data lake. This enables data lake owners and stewards to get actionable insights to mitigate risks associated with data breaches and evolving privacy regulations. Okera Spotlight can be deployed in less than an hour, requires minimal configuration, and seamlessly integrates with existing data lakes, regardless of the analytics and machine learning tools in use, and provides visibility of Amazon S3 activity across all buckets.”

The release goes on, “Okera Spotlight includes two main features: Data Classifier and Visibility & Insights. The solution crawls the data lake to detect sensitive data which can be auto-tagged based on rules. It offers a holistic view of data lake activity, which enables data lake owners to answer important questions such as: What data is being accessed in the lake, especially sensitive data? Which users have accessed sensitive data? Which tools are accessing the sensitive data and how much did they read?”

Nong Li, Okera CEO and co-founder, stated, “Data lake owners, whether just starting on their journey or with very large deployment, are looking for one place to monitor every actionable activity across their data lake in real-time. Despite a plethora of tools in the marketplace, no single tool captures all activity in one place such as identifying users and applications as well as data size and type… Okera Spotlight can be installed in under an hour, works with all existing applications, and offers actionable insights immediately, including full visibility into data lake usage and access patterns for sensitive data without being in the data path for any applications.” 

Read more at PR Newswire.

Image used under license from Shutterstock.com

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