Scaling Data Access and Governance on Data Lakes: Challenges and Common Approaches
With the rise of data lakes and adjacent patterns such as lakehouse, data teams have been able to leverage the increased scale and agility in their use of data. At the same time, the call for responsible data use, privacy regulations and focus on security has only grown, requiring new approaches for the data lake world. This talk will discuss the challenges that teams face when trying to secure their data lake access, common approaches and trade-offs, as well as what the future holds.
Prior to joining Okera, Itay Neeman worked for Splunk, serving as both the engineering and site lead for the Seattle office while also personally contributing and leading several major projects, including a new product for Splunk’s cloud initiative. He has a master’s degree from the University of Washington and a bachelor’s degree from Brown University, both in computer science.italy_nme
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What Is a Data Lakehouse?
The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.read more
Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse
The adoption of data mesh as a decentralized data management approach has become popular in recent years, helping teams overcome challenges associated with centralized data architecture.read more