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Mercedes-Benz implemented a cross-cloud data mesh solution using Databricks Delta Sharing and intelligent replication to reduce egress costs while improving data accessibility.
Banks face a critical challenge scaling AI not due to model limitations, but from fragmented data foundations and governance gaps.
This article explains how Databricks enables effective dbt workflows.
BigQuery Studio launches its notebook gallery with pre-built templates to help data professionals skip setup and focus on analysis.
Databricks Document Intelligence and Lakeflow enable enterprises to automate Intelligent Document Processing by unlocking data trapped in PDFs and documents within the data platform.
Google Cloud releases new features for Datastream and Memorystore for Valkey services.
Databricks has launched a Google Sheets connector that brings real-time, governed lakehouse data directly into Sheets.
BigQuery Graph is a serverless graph analytics solution that enables data professionals to analyze complex relationships in massive-scale data using an intuitive graph query language (GQL).
Google Cloud introduces a unified graph database and analytics solution combining Spanner Graph for operational workloads and BigQuery Graph for analytical workloads, eliminating data silos and enabling real-time and large-scale analysis.
This article describes how BigQuery Graph and Kineviz GraphXR address the challenge of analyzing unstructured enterprise data by creating knowledge graphs from documents like SEC filings.
This blog explains how to build real-time product search systems using Databricks, covering the complete architecture from data ingestion to result ranking and refinement.
This article describes building event-driven data agents that detect and investigate anomalies using BigQuery, Pub/Sub, and Vertex AI.
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