By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

Enable every organization to be data-driven

 

Snowflake

Critical Success Factors for the Cloud Data Lake

Webinar Speaker: Philip Russom, Senior Research Director for Data Management

A cloud data lake integrated with a cloud data warehouse is an emerging architecture that will soon be prominent. Success of this architecture depends on data lake design and cloud data platform selection.

According to a 2019 TDWI survey, roughly half of data warehouse programs surveyed have a data lake in production, whether deployed on premises, on the cloud, or both. The survey data makes significant points:

  • The data lake is firmly established as a method for organizing analytics data
  • Data lakes and data warehouses coexist and complement each other
  • Cloud is becoming the preferred platform for both lakes and warehouses

This webinar will drill into the above points to help data management professionals understand the critical success factors for a cloud data lake, especially when it is integrated with a cloud data warehouse.

Webinar attendees will learn:

  • Why cloud for data lakes and data warehouses? Why now?
  • Prominent data lake use cases—including data exploration at scale, self-service data practices, and advanced analytics—and how a cloud data platform must enable these
  • Failure factors, such as poor platform choices, inadequate metadata, latency issues, underestimating relational requirements, and letting a lake become a swamp
  • The important roles that SQL and the relational paradigm play in a cloud data lake
  • Architectures and best practices that unify a cloud data lake with a cloud data warehouse
  • Best practices for migrating an on-premises data lake or data warehouse to cloud
  • High-priority characteristics of cloud-based data platforms for lakes and warehouses
  • How adopting a general cloud data platform can simplify the deployment and raise the business value of a cloud data lake integrated with a cloud data warehouse
  • How Snowflake is a cloud-based data lake and data warehouse all in one platform that can index all structured and semistructured data, transform it, and make it available for fast analytics

Philip Russom, Ph.D.

Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.