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RE: LeoThread 2025-10-16 23-29

in LeoFinance6 days ago

Part 6/13:

  • Massively Parallel Query Processing: Queries scale from gigabytes to petabytes, with intelligent optimization and caching that accelerate performance.

  • Data Product Management: Governance, lineage, and data cataloging ensure consistent, trustworthy data assets.

  • Connectivity to Diverse Data Sources: Data lakes, relational databases, NoSQL, and real-time streams—Starburst acts as a centralized query hub.

  • Open Integration: Supports various BI tools like Tableau, Power BI, and Looker without mandatory reconfiguration.

  • Data Lake and Warehouse Hybrid: Enables direct querying over structured and unstructured data, breaking silos.

Engineering and Operations