Big data, the Internet of Things (IoT), and SaaS applications have created an explosion in data volume. Data integration is the process of discovering, moving, and combining this data into a unified view to drive insights and power the next generation of AI-driven analytics.
Google Cloud's data integration solutions focus on serverless architectures and autonomous platforms to accelerate your journey from raw data to AI-driven action.
- Big Query: Google’s serverless, autonomous data-to-AI platform that automates the entire lifecycle from ingestion to insights.
- Managed Service for Apache Spark: Develop Apache Spark applications in your favorite tools without managing clusters.
- Lakehouse for Apache Iceberg: An open lakehouse solution that uses Apache Iceberg to provide interoperability across BigQuery and open-source engines like Spark.
- Knowledge Catalog (formerly Dataplex): A central hub to discover and govern data and AI artifacts, providing critical semantics for AI agents.