WEbinar

Fivetran Managed Data Lake Service for modern enterprises

January 16, 2025

11 AM - 11:30 AM GMT

Virtual

Speakers

Niamh O'Brien

Lead Associate, Strategy & Operations
,
Fivetran
Presented by
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Webinar Details

Have you heard about the resurgence of data lakes? Curious about the buzz around Apache Iceberg and other open table formats?

Join us as we explore why organisations are embracing data lakes as a cost-efficient, scalable, and governed foundation for their data. Discover how open table formats are transforming data lakes, bringing data warehouse-like functionality while minimizing vendor lock-in.

We'll delve into the key challenges driving this shift:

  • Data duplication: The new compliance headache, replacing traditional data silos as the top issue for data teams.
  • Rising Total Cost of Ownership (TCO): Complex, duplicative data stacks are straining budgets and resources.

These challenges are pushing enterprises to re-evaluate their data strategies and future-proof their architectures by adopting data lakes.

KEY INSIGHTS + TAKEAWAYS:

SPEAKERS

Niamh O'Brien

Lead Associate, Strategy & Operations
,
Fivetran
SPEAKERS

Niamh O'Brien

Lead Associate, Strategy & Operations
,
Fivetran
Presented by
No items found.
Webinar Details

Have you heard about the resurgence of data lakes? Curious about the buzz around Apache Iceberg and other open table formats?

Join us as we explore why organisations are embracing data lakes as a cost-efficient, scalable, and governed foundation for their data. Discover how open table formats are transforming data lakes, bringing data warehouse-like functionality while minimizing vendor lock-in.

We'll delve into the key challenges driving this shift:

  • Data duplication: The new compliance headache, replacing traditional data silos as the top issue for data teams.
  • Rising Total Cost of Ownership (TCO): Complex, duplicative data stacks are straining budgets and resources.

These challenges are pushing enterprises to re-evaluate their data strategies and future-proof their architectures by adopting data lakes.