Google Cloud ... such as BigQuery, Dataproc Metastore, Data Catalog, and open source tools, such as Apache Spark and Presto. The two most common use cases for Dataplex are a domain-centric data ...

BigLake allows companies to store and analyze Iceberg-based datasets. The search and cloud giant says BigLake is now better ...

At its Cloud Data Summit ... Spanner to BigQuery for real-time analytics, trigger downstream application behavior using Pub/Sub, or store changes in Google Cloud Storage (GCS) for compliance ...

Some of the updates could help enterprises increase the accuracy of AI applications and agents, and increase developer ...

But the use ... For Dataplex, metadata becomes the foundation for unifying data discovery and governance; for now, it will publish the metadata to BigQuery, Dataproc Metastore, and Google Cloud ...

The BigQuery BI Engine will work with most BI clients that customers use ... the data from one cloud to the other, Saha says. Customers enter their credentials, and Google initiates the data movement ...

With this integration, Treasure Data can extract data from Google Cloud’s BigQuery, transform it using SQL or Python, and load it into Treasure Data for advanced analytics. This process ...

Google’s pitching it as a way to ingest, integrate, and manipulate data using a library of open source ... privileged access and control. On the BigQuery side of the equation, Google says ...

What makes Omni different from similar services is that it allows its users to use the standard BigQuery ... data with in-game purchases. Talking about data silos, Google also today noted that ...