Critical inhibitors and best practices for data lake success
What critical inhibitors put your data lake project most at risk? Learn why data lakes fail and how to achieve success using the power of cloud.
It's no surprise that massive amounts of unstructured and semi-structured data provide a wealth of information about the state of your business. Clickstreams, sensors, social media, and weblogs generate huge datasets that can be analyzed in a data lake, as long as that data lake is part of a scalable big data analytics infrastructure.
In this session, we show you how to put your data lake on the path to success. Topics include:
- Why data lakes fail
- Key enablers of a successful data lake project
- Agile DevOps practices for faster time-to-market
- Why a multi-cloud strategy is critical
- Incorporating governance and security into your data lake