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 ...

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.

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.

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.

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 Cloud Dataprep ELT Solution for BigQuery Sees Significant Adoption, Adding More Than 500 Customers & Processing Over 10 Trillion Rows of Data in the Last Six Months ...