Executive Briefing: Enhance your data lake with comprehensive data governance to improve adoption and meet compliance needs

If the last few years were spent proving the value of data lakes, the emphasis now is to monetize the big data architecture investments. The rallying cry is to onboard new workloads efficiently. But how do you do so if you dont know what data is in the lake, the level of its quality, or the trustworthiness of models? Sanjeev Mohan explains why data governance is the linchpin to success.

Organizations have struggled to bring their data lakes into mainstream, due to the fact that many of them lack adequate governance. This limits the use of data lakes beyond a sandbox for data science workloads. However, to effectively deliver a broad set of use cases, organizations have to make sure that their data assets are properly governed, secured, and trustworthy. A new raft of regulations, such as the EU’s GDPR, are providing the required catalyst to improve data hygiene. Data governance is no longer optional. It never was. In 2018, the sexist job now involves data governance. The question is how you can make this task impactful and easier to accomplish. Sanjeev Mohan walks you through an end-to-end architectural blueprint for information governance and shares best practices for helping organizations understand, secure, and govern diverse types of data in enterprise data lakes.