Implementing a Data Lake with Enterprise Grade Data Governance: A project Atlas overview.
Hadoop provides a powerful platform for data science and analytics, where data engineers and data scientists can leverage myriad data from external and internal data sources to uncover new insight. Such power is also presenting a few new challenges. On the one hand, the business wants more and more self-service, and on the other hand IT is trying to keep up with the demand for data, while maintaining architecture and data governance standards.
Andrew Ahn, Data Governance Product Manager at Hortonworks, will address the gaps and offer best practices in providing end-to-end data governance in HDP. Andrew will explain how project Atlas will help solve data governance challenges in Hadoop.
Andrew will be followed by Lingling Yan, Product Manager at Waterline Data, a project Atlas partner, who will share how Waterline Data Inventory works with HDP in the Modern Data Architecture to automate data discovery while complying with data governance policies.