5 Best Practices for Data Warehouse Development

Introduction

Cloud technology has revolutionized how businesses store, access, and analyze data. Whether your organization is creating a new data platform from scratch or re-engineering a legacy data warehouse system to take advantage of new capabilities, a handful of guidelines and best practices will help ensure your project’s success. Some of those best practices may seem obvious, but all too often, businesses fail to spend time up front setting and documenting these decision points, resulting in headaches and inefficiency down the road.

In this ebook, we outline five recommendations for putting structure around your data strategy and getting alignment across your business, so the data warehouse you create meets both current and future business needs. These best practices for data warehouse development will increase the chance that all business stakeholders will derive greater value from the data warehouse you create, as well as lay the groundwork for a broader enterprise data platform that can grow and adapt as your business needs change.