|By Keith Cawley||
|August 15, 2014 11:00 AM EDT||
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.
There are quite a few things that could go wrong during the extraction process. This is when you’ll copy all the data from every data source in your company, including proprietary databases, files you’ve uploaded during your several years in business, APIs, and even all of your files within any cloud-based storage services you may use.
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.
One big step toward ensuring you don’t copy and sync every file every time is to cleanse and optimize your data. During this step, the files will be denormalized and pre-calculated so that analysis is easier. By denormalized and pre-calculated, we mean that any inconsistencies will be discovered and resolved. Links with various tags will be standardized, notes and statuses will be examined and organized, and any methods for accessing data will be streamlined.
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.
Loading the data into the new data warehouse might be the easiest step, but you could still make critical errors if you’re not careful. You’ll still be working with several different types of information, and one mistake could corrupt several files at once.
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!
SYS-CON Events has announced today that Roger Strukhoff has been named conference chair of Cloud Expo and @ThingsExpo 2016 Silicon Valley. The 19th Cloud Expo and 6th @ThingsExpo will take place on November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. "The Internet of Things brings trillions of dollars of opportunity to developers and enterprise IT, no matter how you measure it," stated Roger Strukhoff. "More importantly, it leverages the power of devices and the Interne...
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Jul. 26, 2016 12:00 AM EDT Reads: 2,157
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Jul. 25, 2016 11:00 PM EDT Reads: 1,050
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Jul. 25, 2016 10:00 PM EDT Reads: 2,524
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Jul. 25, 2016 07:15 PM EDT Reads: 2,115
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Jul. 25, 2016 09:45 AM EDT Reads: 1,159
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Jul. 25, 2016 09:30 AM EDT Reads: 956
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Jul. 25, 2016 08:00 AM EDT Reads: 1,682
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Jul. 25, 2016 03:30 AM EDT Reads: 4,081
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm ...
Jul. 24, 2016 09:45 PM EDT Reads: 2,151
Jul. 24, 2016 06:30 PM EDT Reads: 3,810
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Jul. 24, 2016 01:45 PM EDT Reads: 9,518
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Let's just nip the conflation of these terms in the bud, shall we?
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They are not.
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Jul. 24, 2016 12:45 AM EDT Reads: 3,869
Before becoming a developer, I was in the high school band. I played several brass instruments - including French horn and cornet - as well as keyboards in the jazz stage band. A musician and a nerd, what can I say? I even dabbled in writing music for the band. Okay, mostly I wrote arrangements of pop music, so the band could keep the crowd entertained during Friday night football games. What struck me then was that, to write parts for all the instruments - brass, woodwind, percussion, even k...
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