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DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
DAT103 Introducing Amazon RedShift - AWS re: Invent 2012
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DAT103 Introducing Amazon RedShift - AWS re: Invent 2012

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  • 1. Expensive Hardware and Software Source: Oracle technology global price list 11/1/2012Enterprises average between 3 and 4 DBAs per data warehouse Complex Tuning and AdminSource: Oracle technology global price list 11/1/2012, Gartner: Critical factors in calculating the data warehouse TCO, July 2009
  • 2. Large Companies Small Companies Too expensive Hard to scale Can’t afford to have a data warehouse
  • 3. Easy to provision and scale up massivelyNo upfront costs, pay as you goReally fast performance at a really low priceOpen and flexible with support for popular BI tools
  • 4. A fast and powerful, petabyte-scale data warehouse that is A Lot Faster A Lot Cheaper A Whole Lot Simpler Delivered as a managed service
  • 5. Id Age State123 20 CA345 25 WA678 40 FL Row storage Column storage
  • 6. Common BI Tools JDBC/ ODBC Leader Node1 0 GigE MeshCompute Compute Compute Node Node Node
  • 7. The Data Analysis Gap1990 2000 2010 2020 Enterprise Data Data in Warehouse Sources: Gartner: User Survey Analysis: Key Trends Shaping the Future of Data Center Infrastructure Through 2011 IDC: Worldwide Business Analytics Software 2012–2016 Forecast and 2011 Vendor Shares
  • 8. Note: Nodes not to scale
  • 9. Price Per Hour for Effective Hourly Effective Annual HS1.XL Single Node Price Per TB Price per TBOn-Demand $ 0.850 $ 0.425 $ 3,7231 Year Reservation $ 0.500 $ 0.250 $ 2,1903 Year Reservation $ 0.228 $ 0.114 $ 999Simple Pricing: Number of Nodes x Cost per HourNo charge for Leader NodePay as you grow
  • 10. *Source: Gartner Critical factors in calculating the data warehouse TCO, July 2009
  • 11. (Optional) SSL Continuous, Automatic Backup Streaming RestoreClients Amazon Redshift Amazon S3 *SSL available today; AES-256 & VPC in early 2013
  • 12. Amazon EC2 Amazon DynamoDB Amazon RelationalDatabase Service (RDS) Corporate Amazon Redshift Data CenterAmazon Elastic MapReduce AWS Storage Gateway Service Amazon Simple Storage Service (S3)
  • 13. ODBC / JDBC Others in progress…Amazon Redshift
  • 14. Lower Raise Price ValueIncrease Increase Add featuresEfficiency Adoption that matter Get Scale Feedback Infrastructure
  • 15. https://aws.amazon.com/redshift
  • 16. We are sincerely eager to hear your feedback on thispresentation and on re:Invent. Please fill out an evaluation form when you have a chance.

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