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Google Cloud’s open lakehouse: Architected for AI, open data, and unrivaled performance
- Google Cloud's Data Cloud platform integrates AI with an open lakehouse architecture, offering organizational benefits.
- Snap Inc. praises Google Cloud's open lakehouse for empowering data engineers and scientists.
- Innovations include BigLake Iceberg native storage leveraging GCS, united operational and analytical engines, and performance enhancements for BigQuery SQL.
- The High-performance Lightning Engine for Apache Spark and Dataplex Universal Catalog provide further improvements.
- BigLake services aim to create open, unified, and interoperable storage runtimes for Google Data Cloud.
- BigLake metastore facilitates openness and interoperability across data ecosystems, simplifying management and governance.
- Analytical engines like BigQuery can now read and write Iceberg data, enhancing functionality and openness for users.
- The Lightning Engine for Apache Spark accelerates performance through optimized data connectors, improving Spark performance.
- Dataplex Universal Catalog provides AI-powered intelligence for effective data strategy and governance across Google Cloud.
- AI-native notebooks and tooling, including Gemini-powered capabilities, enhance developer experiences for improved productivity.
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