Google Looker now includes a new data blending feature, while BigQuery introduces a direct data export capability. Both features address needs at opposite ends of the analytics toolchain.

Clicking on a table in the BigQuery web interface lets you see its schema, along with a tab for previewing data. Click on the table name to see its schema. There is also a “Preview” tab that ...

In that case, you can save results as a BigQuery table and connect to it with Looker Studio or Databox to view the data. But please remember that BigQuery is a freemium service. It is free up to 1 ...

Analysts said they expect data professionals to see the addition of Gemini as a welcome move, as data engineering is often the most time-consuming task in many enterprise data and analytic processes.

Currently, you have three data export options beyond the BigQuery bulk data export: Most of the reports in GSC allow you to export up to 1,000 rows. You can get up to 50,000 rows via a Looker ...

Following the purchase of Looker, Google made two additional moves in the past year to enhance its data analytics portfolio. Both were revealing in terms of the positioning of Google Cloud.

With Looker and BigQuery ML, data teams can now save time ... can further expand the ways these products are impacting our Data Science workflow — we’re excited to see what new ...

Google is pushing the bar on how teams work with their data. Today at its annual Cloud Next conference, the internet giant announced major improvements for BigQuery — its fully managed ...

The Looker and BigQuery product changes add another valuable business intelligence integration in the marketplace. With Looker Studio and BigQuery SQL, Google will surely keep the "Jenga pieces ...