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The one-stop-source powering Data Warehouse success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead.
Based on extensive research, this lays out the thinking of the most successful Data Warehouse knowledge experts, those who are adept at continually innovating and seeing opportunities.
This is the first place to go for Data Warehouse innovation - INCLUDED are numerous real-world Data Warehouse blueprints, presentations and templates ready for you to access and use.
Also, if you are looking for answers to one or more of these questions then THIS is the title for you:
What are alternatives to building a data warehouse? What is a data warehouse? What data warehouse does Facebook use? Which data warehouse does Google use? Do you prefer data warehouse or Hadoop for big data process? Why are data warehouse appliances so popular? What is a good introduction to data warehouse? How much does it cost to build a data warehouse? Are there any practical (near) real-time data warehouse solutions? What is the best data warehouse product/service for a startup? What are the scalability limits of existing data warehouse products? Is data warehouse normalized or denormalized? Why? How does the rising popularity of Hadoop impact legacy data warehouse vendors like Teradata? Where can I find statistics about enterprise data warehouse deployments? Does Whatsapp have a data warehouse? What is the difference between a database and data warehouse? What is the tipping point from using databases to using a data warehouse for reporting? What is a special data warehouse? ...and much more...
Based on extensive research, this lays out the thinking of the most successful Data Warehouse knowledge experts, those who are adept at continually innovating and seeing opportunities.
This is the first place to go for Data Warehouse innovation - INCLUDED are numerous real-world Data Warehouse blueprints, presentations and templates ready for you to access and use.
Also, if you are looking for answers to one or more of these questions then THIS is the title for you:
What are alternatives to building a data warehouse? What is a data warehouse? What data warehouse does Facebook use? Which data warehouse does Google use? Do you prefer data warehouse or Hadoop for big data process? Why are data warehouse appliances so popular? What is a good introduction to data warehouse? How much does it cost to build a data warehouse? Are there any practical (near) real-time data warehouse solutions? What is the best data warehouse product/service for a startup? What are the scalability limits of existing data warehouse products? Is data warehouse normalized or denormalized? Why? How does the rising popularity of Hadoop impact legacy data warehouse vendors like Teradata? Where can I find statistics about enterprise data warehouse deployments? Does Whatsapp have a data warehouse? What is the difference between a database and data warehouse? What is the tipping point from using databases to using a data warehouse for reporting? What is a special data warehouse? ...and much more...
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