Transforming Business Decision Making with a Cloud-Native Data Warehouse

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In this special technology white paper, Transforming Business Decision Making with a Cloud-Native Data Warehouse, you’ll learn about how organizations are increasingly dependent on different types of data to make successful business decisions. But as the volume, rate, and types of data expand and become less predictable, conventional data warehouses cannot consume all this data effectively. Big data solutions like Hadoop increase the complexity of the environment and generally lack the performance of traditional data warehouses. This makes it difficult, expensive, and time-consuming to manage all the systems and the data. What’s needed is a new class of data warehouse.



Snowflake began from the ground up to build a completely new data warehouse, starting with a clear vision: a data warehouse should bring together all an enterprise’s data and make it available, easily, to all the users and systems that need to analyze it. The white paper includes an important use case comparison table for enterprise decision makers to weight the merits of legacy data warehouses, big data systems, and Snowflake.

The white paper includes the following high level topics:

  • The Challenge: Data Solutions Can’t Keep Pace with Data Needs
  • The Solution: Make More Data Available to More Users
  • The Snowflake Difference
  • Solving Enterprise Data Problems, One Use Case at a Time

The Transforming Business Decision Making with a Cloud-Native Data Warehouse white paper is available for download in PDF from the insideBIGDATA White Paper Library, courtesy of Snowflake Computing, Inc.

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