The Future-Proof Cloud Data Lake
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, November 10, 2021
Time: 9:00 a.m. PT, 12:00 p.m. ET
As organizations strive to derive value from their data, they are often modernizing their data warehouse environments to support new and diverse data types and more advanced analytics. At TDWI, we see that unstructured data is already mainstream. Machine-generated data is early mainstream. The on-premises data warehouse often does not meet the needs of organizations for massive amounts of diverse data. The modern data lake is an important piece of the strategy to support self-service, advanced analytics, and data sharing.
Today’s data lakes are built as cloud-based object stores that run on public, private, hybrid, and other cloud architectures to provide scalability and extensibility. These modern data lakes support SQL tools and a way to manage and govern diverse data. Some provide security for the entire technology stack, from storage to processing and analysis (AI/ML/SQL). They are often unified or converged with the cloud data warehouse to form a unified platform.
Join TDWI’s VP of Research Fern Halper and Snowflake’s Scott Teal on this webinar to discover six best practices to future-proof your data lake. Topics include:
- Business drivers for modern data lake environments
- Future-proofing storage
- Data management in the modern data lake
- Automated and augmented capabilities of the modern data lake
- Using the data lake to provide competitive advantage
Product Marketing Manager
Scott Teal is a Product Marketing Manager at Snowflake, focused on data lakes and data governance. Prior to Snowflake, he worked for Tableau where he held various roles in marketing, focused on growth and strategy for Tableau Public. Scott holds an industrial engineering undergraduate degree and an MBA from the University of Central Florida.
Fern Halper, Ph.D.