This article will show how to build a Google Data Studio report with a Google BigQuery data resource.
In the two-part SQL Shack article, Build a Google BigQuery Resource, I showed how to build a Google BigQuery resource, and then link it to an Azure SQL Server resource. This article will expand on that first part, showing how to build a BigQuery report with Google Data Studio.
With Google Data Studio, we can build reports and dashboards that visualize data. Data Studio can handle data from many different data platforms, including BigQuery. To build a Data Studio report, first, build the data source. Next, design, build, and configure the report over that data source. Finally, deploy the report.
Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.
Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories.
This article will show how to write U-SQL scripts using Visual Studio for Azure Data Lake Analytics.
In this post, we'll learn Getting Started With Data Lakes.<br><br> This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that's designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You'll also explore key benefits and common use cases.
In this article, you learn how to set up Azure Data Sync services. In addition, you will also learn how to create and set up a data sync group between Azure SQL database and on-premises SQL Server.