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Data lake vs. data warehouse: Why AWS customers are transitioning to data lakes

Mehul Shah, GM for AWS Lake Formation and AWS Glue, explains what data lakes are, the challenges of data lakes, and how technology can help.

September 10, 2020
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Today, tens of thousands of customers are building data lakes on Amazon S3 to break down data silos, centralize all their data assets, and unlock the potential of their data company-wide.

The evolution of data warehousing | Data lakes with AWS Lake Formation | Amazon Science
Mehul Shah describes some of the key technologies that enable data lake advances, and dives into research opportunities for the database community.

During the International Conference on Very Large Databases (VLDB), Mehul Shah, GM for AWS Lake Formation and AWS Glue, gave a talk (above) on why customers are transitioning from monolithic enterprise data warehouses to disaggregated data lake architectures on the cloud. The talk describes the challenges customers face in building, securing, and managing data lakes and how AWS Lake Formation helps solve these problems. Lake Formation makes data ingestion, data cleaning, data security, and data governance simpler, so customer can build data lakes in days instead of months.

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