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DATA wAREHOUSE MODERNIZATION

snowflake eBook

Six Compelling
Reasons

to modernize
your data warehouse

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A modern DATA WAREHOUSE for modern analytics

Traditional data warehouse solutions were not designed to handle the rapid growth in data and varying data types. They also were not designed to keep pace with the changing needs of end users and the applications that rely on them. Only a data warehouse with a cloud-built data architecture makes it possible to support your current and future data analytics workloads at any scale.

Snowflake’s patented multi-cluster, shared data architecture can support any scale of data, workload, and users. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. With Snowflake’s near-zero management solution, you can focus on using data to drive insights instead of managing the overhead of a legacy data warehouse.

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  • Consolidate Data Marts

    Take advantage of a modern architecture that brings together all your data in one place and makes it available to all your users and applications.

  • Handle any Scale of Data, Workload, and Users

    Deliver rapid insights at any scale without the complexity and headaches of traditional data warehouse or NoSQL solutions.

  • Support Modern Data and Applications

    Build and deploy innovative analytics solutions on top of a cloud data platform that can easily adapt to rapidly changing demands, in any region, on any cloud.

eBook

Why Cloud Data Warehousing Emerged

Read how the benefits and shortcomings of legacy solutions brought forth the modern cloud-based data warehouse.

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Customer Testimonial

How Organizations Modernize their Data Analytics

Watch how organizations just like yours benefit by moving to Snowflake’s cloud data platform.

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Guides

Migration Guides

Read any of Snowflake's migration guides, reference manuals, and executive white papers to get technical and business insights on how and why you should migrate away from your legacy data warehouse.

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File Download

How to Improve the ROI of Your Data Warehouse

Many organizations struggle with the challenging problem of affordably housing all their data and simultaneously supporting their analytics needs. Read this report to see how.

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  • We are an early adopter of Virtual Private Snowflake because it gives us the ability to process data at lightning fast speed and deliver automated, intelligent solutions to our customers in real time.

    – Linda Apsley, Vice President of Data Engineering, Capital One

  • With Snowflake on Google Cloud, we have a technology solution to build a scalable, highly-resilient cloud environment with the agility that the business demands while delivering valuable insights to help our business and our customers.

    Brian Dummann, Chief Data and Analytics Officer, McKesson

Start planning your modernization

Want more information about how to solve your biggest data warehousing challenges? Visit our resource center to explore all of our informative and educational ebooks, case studies, white papers, videos and much more.

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