Governing Big Data and Hadoop
TDWI Speaker: Philip Russom, TDWI Research Director
Date: Tuesday, October 11, 2016
Time: 9:00 a.m. PT, 12:00 p.m. ET
Big data presents significant business opportunities, when leveraged properly. And yet, big data also presents significant business and technology risks, when it is poorly governed or managed.
One of the challenges to achieving business value from big data is that traditional platforms and tools are not designed for new big data. Without modern tools, technical employees run the risk of failure in key areas, such as scalability, data structure diversity, low latency, self-service data access, security, metadata management, and enterprise data standards. Furthermore, modern tools facilitate data governance tasks, such as inventorying new data, data lineage, tracking data access, collaborating via data, and assuring data quality.
Another challenge is to capture and use big data to create the fullest business value possible, but within the guidelines of external regulations and internal policies for data usage, privacy, and security. When these guidelines are not honored and followed, a business runs the risk of compliance violations, which can lead to legal issues, fines, customer dissatisfaction, and poor brand loyalty.
This webinar will drill into:
- This webinar will drill into
- Six of the most pressing issues in governing various types of new big data
- Governance issues with both old and new platforms (including Hadoop) and both operational and analytics use cases
- Emerging big data practices – self service data access, data exploration, data prep – and their ramification for data governance
- The importance of metadata management to governing big data and Hadoop
- Putting big data and other data into the hands of more employees, without putting enterprise information at risk or breaking with compliance
Philip Russom, Ph.D.