a16z Podcast The Great Data Debate
Mar 24, 2022
Bob Muglia, former CEO of Snowflake, joins a panel of data experts to debate the future of data infrastructure. They discuss the evolution of data lakes versus warehousing and how operational AI is reshaping data management. The conversation dives into emerging concepts like data mesh, the integration of machine learning, and the balance between latency and throughput. With varying perspectives, they explore the crucial question of how technology adapts within complex enterprise environments.
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Data Lake vs. Data Warehouse
- Data warehouses excel at analytics, while data lakes handle unstructured data and AI.
- Operational AI use cases are growing faster, potentially leading data lakes to become dominant.
SQL Data Warehouses' Rise
- SQL-based relational data warehouses are becoming comprehensive for structured and semi-structured data.
- They will likely replace data lakes except for complex data like images and videos.
Data Lake and Data Warehouse Convergence
- Organizations will likely store files once in an open format for various use cases.
- Data warehouses and data lakes need converging indexing and metadata for broader utility.