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What is a Modern Data Warehouse?

Posted Apr 06, 2015 by Ginger Grant

As I was honored enough to be selected to give a PreCon on the Internals of the Modern Data Warehouse at SQLSaturday Huntington Beach, I thought that I would take the time to explain why I felt drawn to the topic. There are a lot of places that haven’t given much thought to the changes in technology which have happened over the last few years. The major feature upgrades to SQL Server in 2012 and 2014 have meant that they can use column store indexes which makes things faster and maybe better High Availability. While those things are certainly valuable improvements there is a lot more that you can do to derive value from your data and companies want more than just a well-organized, running data warehouse.

Data is a Valuable Asset

In 2010, Borders Group Inc. was allowed by the Federal Trade Commission to sell their customer information to Barnes and Noble as part of their bankruptcy sale of their assets. In 2015, RadioShack is doing the same thing. Businesses understand that data is valuable and they are interested in using it to drive decision making. Amazon, Netflix and Target are well known for their use of customer information to drive sales, but they are far from the only ones doing this. This is one of the bigger trends identified recently in the business press. The heads of companies are now looking for their data teams to do more with their data so that they too can have the dream information systems they are reading about.

Total Destruction of the Existing DW is Not Required

Excavator working with earth and sand in sandpitWhile a lot of the time, it might be nice to level everything and start over, that is not always an option. The major reason for this is that the data warehouse environment already in place has a lot of value. You want to add to the value already there, not destroy what you have. Also it would take a long time to recreate the environment and no one is patient enough to wait for that. Alternatively you could expand into areas of new technology as your data grows. Perhaps this mean you archive some of your data from your database to a Hadoop cluster instead of backing up the data in some far off location. This would allow you to use Sqoop to bring the data back when you need it, providing ready access to the data. Perhaps you want to provide the users more self-service BI capabilities, moving the data analysis into the hands of the people who are more familiar with the data? You could add the capabilities of Power View in Excel, Power Designer or Tableau to your environment.

Incorporating Social Media Information

The business world operates not only on a batch cycle. More and more companies want to know what is being said about them so they can respond appropriately. With tools like Azure Event Hubs, Data Factory, Streaming Analytics, and Machine Learning this isn’t as hard to do as it might sound. We’ll review these products so that attendees will understand how these tools can provide greater insight not only into their own data, but the data building about them outside of the company firewall.

For More Information

I really hope you can join me in Huntington Beach on April 10 for a full day of exploring these concepts. I always look forward to events like the precon and of course SQL Saturday #389 – Huntington Beach which is the following day.

Tagged With: SQLSaturday, Data Warehouse

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