Most of the hype around data warehouse modernization today focuses on warehouse platforms – the database management systems, Hadoop clusters, clouds, and other data platforms where warehouse data is stored and managed. These are important sources of many recent advancements. However, to get the greatest business value and technology innovation from a modernized data warehouse, organizations must also modernize the tools and methods surrounding the warehouse.
For example, data warehouse professionals are under pressure to prototype sooner, deploy solutions faster, create designs that more flexibly adapt as the business changes, and achieve better alignment with business goals. These development pressures are just as urgent as platform pressures for greater capacity, more varied data structures, and less expensive storage. Data warehouse automation is all about modern tooling that enables data and operations professionals to work with modern productivity and flexibility.
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