Make Your AWS Data Lake Deliver!

Logo
Presented by

Dave Vellante, SiliconANGLE, Thomas Hazel, ChaosSearch, Ed Walsh, ChaosSearch, Kevin Miller, AWS, Mark Hill, Digital River

About this talk

Without any organization, governance, or integration with known ETL or analytics tools, many data lakes quickly became “data swamps.” Data sits stagnant because users don’t know how to effectively access or glean insights from it. But that fate is NOT inevitable. Modern, productive data lakes are built on cloud object storage, like Amazon S3, and can be activated to support multi-dimensional analytics use cases such as full text search, relational queries, and machine learning. On the webinar, we’ll share insights into the data lakes of yesterday, today and tomorrow -- including how they compare to new approaches such as data mesh. Learn about AWS' vision for cloud object storage; hear about Digital River’s cloud-first strategy and how it's driven their log analytics-centered data lake; and see how ChaosSearch can easily activate Amazon S3 as a hot analytical data lake for you. Hear from: Dave Vellante, Co-Founder & Co-CEO at SiliconANGLE Media Corp, Thomas Hazel, Founder and Chief Technology Officer at ChaosSearch, Ed Walsh, CEO at ChaosSearch, Kevin Miller, VP and General Manager of S3 at Amazon Web Services, and Mark Hill, Sr. Director of IT Operations at Digital River
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (13)
Subscribers (665)
ChaosSearch helps modern organizations Know Better™ by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabling analytics at scale with massive reductions of time, cost and complexity. ChaosSearch was purpose-built for cost-effective, highly scalable analytics encompassing full text search, SQL and machine learning capabilities in one unified offering. The patented ChaosSearch technology instantly transforms your cloud object storage (Amazon S3, Google Cloud Storage) into a hot, analytical data lake.