Designing Performant, Scalable, and Secure Data Lakes

In this session you will learn the do’s and don’ts of building enterprise data lakes. We’ll discuss the commonly used patterns, how to set up your pipelines to maximize performance, how to organize your data, and various options to secure access to your data. We will cover generalized best practices of data lake design, as well as specifics of how to implement using Azure Data Lake Storage.

Topics Covered

Azure Data Lake Storage

Data Lake Storage

Speakers

Rukmani Gopalan

Rukmani Gopalan is a Principal PM Manager at Microsoft. She works on the Azure Data Lake Storage team where she helps customers build their big data analytics solutions on Azure.

Ready to Get Started? Here Are Some Resources to Help

Webinars

Smart Data – Smart Factory with Octotronic and Dremio

Guides

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.

Whitepaper

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.