Have a 360⁰ view of their businesses: Data is valuable.Data warehouse use-cases have gone beyond traditional operational reporting. As per Gartner, data warehouses often form the foundation of enterprises analytics strategy. As enterprises are increasingly becoming data driven, data warehouses play an increasingly critical role in their digital transformation journey. Data warehouses are the custodians of the most important business data in the enterprise for the last two decades. How does a Data Warehouse drive business decisions?Ī data warehouse consolidates data from disparate sources and performs analytics on the aggregated data to add value into the business operations by providing insights. In this first post, we will look at how data warehouses change business decision making, how BigQuery solves problems with traditional data warehouses, and dive into a high-level overview of BigQuery architecture and how to quickly get started with BigQuery. Since its inception, numerous features and improvements have been made to improve performance, security, reliability, and making it easier for users to discover insights. Google BigQuery was released to general availability in 2011 and is Google Cloud's enterprise data warehouse designed for business agility. Its serverless architecture allows it to operate at scale and speed to provide incredibly fast SQL analytics over large datasets.
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