Standard SQL support and serverless capabilities make the cloud data warehouse relatively easy to use without complicated system administration. With BigQuery, capacity can be easily added, so service interruptions can be avoided. BigQuery is a scalable, “serverless” cloud data warehouse. The retailer selected Google Cloud’s BigQuery as a solution for its data warehouse. The Home Depot needed a cloud solution to keep up with its ever-growing data demands. Technology Solution – Using BigQuery for Data Warehouse Management By using artificial intelligence and online commerce, the company could not only meet customer needs but also improve security. The company decided to implement a data-driven approach to maintain a competitive edge. Using AI and online commerce to meet customer needs.Using cloud technology to empower employees.They aimed to accomplish these goals by:.Meanwhile, the need for data continued to grow rapidly. So, The Home Depot needed a better way to keep up with these demands, as the capacity refresh cycles continued to shrink. It also became difficult to maintain such data-intensive workloads. Adding more capacity for all the data required a lot of planning and testing.Īnd, capacity was reaching its limit, which impacted performance. The rapid growth of data created significant challenges in performance, cost, and managing data priorities. Because of all the data required for analysis, its on-premise data warehouse was under much stress. Maintaining a competitive edge in today’s business environment requires a greater data-driven approach than was possible with The Home Depot’s legacy technology.
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