AlloyDB Lakehouse Federation: Unified access to BigQuery and Google Cloud Lakehouse

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Join Paul Ramsey, Product Manager at Google, for a demonstration of AlloyDB’s new Lakehouse Federation capability. Using a fictional financial services firm, Cymbal Investments, we show how analysts can research S&P 500 trends by combining real-time vector search with data in BigQuery and Google Cloud Lakehouse.

In this video, you will see:

• Hybrid Search: Searching 3.2 million text chunks and embeddings of 10-K filings using natural language.
• Lakehouse Federation: Joining AlloyDB vector results with BigQuery reference data and historical Parquet/Iceberg data lakes without moving any data.
• Performance Optimization: Automatic pushdown of filters and aggregates to BigQuery for fast results.
• One-Click Reverse ETL: Syncing BigQuery data for low latency queries with zero performance trade offs.
• Unified Access Layer: Accessing your entire data platform—from live transactions to archives—through a single lens.

Learn how AlloyDB enables cloud and AI transformation for your data platform.

Watch more Understanding AlloyDB → https://goo.gle/UnderstandingAlloyDB
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Speaker: Paul Ramsey
Products Mentioned: AlloyDB for PostgreSQL