Google BigQuery
Enterprise Cloud Data Warehouse
Status
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Live
Live
Chains
Ethereum
Category
Enterprise
Category
Channel Partner
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Product Type
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Enterprise
Year
2019
Collaboration
Social
Announcements
Channel Partnership Details
June 13, 2019
Building hybrid blockchain/cloud applications with Ethereum and Google Cloud
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About
Google BigQuery

212What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text test link to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Google's BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service (PaaS)) that supports querying using ANSI SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.

BigQuery provides external access to Google's Dremel) technology,[2][3] a scalable, interactive ad hoc query system for analysis of nested data. BigQuery requires all requests to be authenticated, supporting a number of Google-proprietary mechanisms as well as OAuth.

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