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.

Since BigQuery became available to all developers in 2012, it’s been possible to query data with the SQL-like BQL, which stands for BigQuery Query Language. Now Google is bringing full SQL to ...

This addition enables users to translate Dataprep jobs into SQL statements executed on BigQuery. Further, Dataprep enables BigQuery Upsert, which is the ability to update or insert data into BigQuery.

Google is abandoning its homegrown SQL variant as the recommended default query language for its BigQuery service in favor of a new standard-compliant dialect in the works for the managed data ...

To that end, Google has announced a beta release of BigQuery ML, a SQL-based extension to its enterprise data warehouse service, for building and deploying machine learning models.

Learn how to use AI chatbots like ChatGPT to run complex BigQuery queries for SEO reporting. Boost your strategic decision-making and reduce manual tasks.

Must-read big data coverage What is BigQuery? Google BigQuery ETL is a cloud-based data warehouse that serves as an ETL solution through the help of SQL queries.

Alooma service enables data scientists and engineers to create real-time data pipelines that continuously stream information from Google Cloud SQL to BigQuery and other cloud data warehouses.

A Solana developer was billed $5,000 for a single query on Google Cloud’s BigQuery, as industry watchers warned of predatory ...