Previously, customers had to use ETL tools such as Dataflow or self-developed Python tools to copy data from Bigtable into BigQuery; however, now, they can query data directly with BigQuery SQL.

This will help expand the pushdown use cases from Google Cloud Storage files as a source to Spanner, Cloud SQL, Cloud Bigtable, and other external sources supported by BigQuery.

Input data can come from various sources, such as files (Excel or Google spreadsheets, CSV, etc.), Cloud Services such BigQuery (Google Cloud Data Warehouse), Google Cloud storage, and additional ...

Google LLC’s cloud unit today introduced new features for its BigLake and BigQuery services, which enable companies to run analyses on large datasets. Both updates focus on an open-source ...

Using Google Cloud Dataflow, Google’s native serverless ETL (extract, transform, load) service, new integrations allow customers to quickly and securely ingest data directly into their Elastic ...

Google is touting a "NoOps" philosophy for cloud-centric big data processing that abstracts IT away from infrastructure through an auto-scaling platform that optimizes infrastructure consumption.

To achieve this, Twitter plans to use Google tools such as BigQuery, Dataflow and Cloud Bigtable. Previously, Twitter's engineers and data scientists would develop custom data processing jobs.