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Tomer Shiran, co-founder of Dremio, talks about managing data inside a data lake, historical changes and motivations for managing data as a data lake, and the common tools and methods for ingestion, storage, and analytics on top of the underlying data.
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Podcast summary created with Snipd AI

Quick takeaways

  • Data lakes provide a scalable and cost-effective solution for storing and ingesting large volumes of data into a centralized repository.
  • The evolution of data storage formats in data lakes, such as the transition to column-oriented formats, has improved performance and query response times.

Deep dives

The Evolution of Data Warehouses

Data warehouses emerged as a centralized solution for analyzing data from multiple sources. Originally, data warehouses were created using the same technology as operational databases, but they provided a separate space for analysis to avoid impacting the performance of operational systems.

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