Most Read This Week
Best Practices for Integrating Different Big Data Sources
Data organization eliminates potential future problems
By: Keith Cawley
Aug. 15, 2014 11:00 AM
Choosing when to adopt a data warehouse largely depends on how easily and effectively your organization can manage multiple data sources. When you do decide to combine all data sources into one central location, the decisions become more uniform. You can, of course, approach the integration of all data sources into a data warehouse in your own way, but if you’re not careful, you could create more problems than you solve.
To extract your data and load it into the new data warehouse, there are some basic must-follow rules that help avoid problems down the road. This process is often abbreviated to ETL, or Extract, Transform, Load. Let’s take a look at the steps and examine the best practices for each.
This may not sound too hard, but there are a few mistakes many make right from the beginning. The most common is copying all data every time they sync with the data warehouse. Consider the data sources you’ll be integrating into the new data warehouse. Do you really have the time or space to copy and transfer those millions of records every time? The time this takes can be a pain, which causes many companies to start relaxing how often and how much data they sync, without any real plan. You definitely don’t want to get your company into this type of situation.
With these steps complete, there will be no need to continually copy and transfer the same data over and over. You can simply identify the new data, cleanse and denormalize, and then sync with the data warehouse.
Keep in mind that loading the millions of files your company has can take a lot of time, too. You don’t want to cut corners or walk away while the information is being transferred. To do so could result in the loss of vital information. Of course, you can always access this data again from the original sources, but going through the same process multiple times is a waste of company resources and time.
With all your information in one central place, there will never be the need to access several different data sources. You’ll save time, which saves money. You’ll avoid mistakes, which saves money. And you’ll save on additional equipment, which definitely saves money.
Are you ready to integrate all your data sources into one data warehouse? We’re happy to answer any questions you might have, so leave a comment to start the conversation!
Subscribe to the World's Most Powerful Newsletters
Today's Top Reads