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Tag: Amazon

More thinking on Specialized Databases

Recently I posted (here) some thinking that suggested that the cost of replicating data into specialized databases might outweigh the … More

Amazon, Amazon Web Services, Aster Data Systems, bigdata

Thoughts on AWS Redshift…

The shared-nothing architecture has, from the beginning, offered the promise of using hardware to solve performance problems rather than applying … More

Amazon, Amazon Web Services, AWS, Oracle, Paraccel, Redshift, SAP, Teradata

My 4 Cents: Vertica and Paraccel 1Q2013

Summary Vertica is the product I saw the most. In fact before they were acquired they were beginning to pop … More

Amazon, Amazon Redshift, Business Objects, Data mart, Data Warehouse, Paraccel, SAP, Vertica

Cloud Computing and Data Warehousing: Part 3 – ParAccel on EC2

In the previous post here I suggested that a SAN-based, cloudy, EDW is about 4X the cost for the same … More

Amazon, Amazon Elastic Compute Cloud, Business intelligence, Data Warehouse, Data Warehousing, Dell, EDW, Greenplum, IBM, Paraccel, Shared nothing architecture, Teradata

Cloud Computing and Data Warehousing: Part 2 – An Elastic Data Warehouse

In Part 1 of this topic (here) I suggested that cloud computing has the ability to be elastic… to expand … More

Amazon, Cloud computing, Data Warehouse, Data Warehousing, EC2, EDW, Paraccel, Shared nothing architecture

Cloud Computing and Data Warehousing: Part 1 – The Architectural Issues

My apologies… I was playing with the iPad version of WordPress and accidentally published a very rough outline/first draft of this … More

Amazon, Cloud computing, Data Warehouse, Database, Extract transform load, Greenplum, HANA, iPad, Oracle Exadata, Paraccel, Teradata

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Top Posts & Pages

  • An Elastic Shared-Nothing Architecture
  • Coarse-grained Cloud Economics
  • A Modern Data Warehouse Architecture: Part 1 - Add a Data Lake
  • A Modern Data Warehouse Architecture: Part 2 - Make it a Logical Data Warehouse
  • A Modern Data Warehouse Architecture: Part 3 - Build an EDW Annex
  • Vendor Spin: What is not Metadata... What is not open...
  • A Segue from ETL to DB
  • Who is How Columnar? Exadata, Teradata, and HANA – Part 1: Column Compression

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