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Streamline Your Company's Data Integration

2013-11-27by Adam Groff

If your business needs some help streamlining its data integration, there are plenty of big data options available.

From financial and information services to retail and beyond, juggling data becomes an IT afterthought when integration worries are taken out of the equation.

With that in mind, here are just a few ways your business can better streamline, cleanup, and condense its everyday data.

 

Avoid Manual Integration at All Costs

Whether you're a database wizard or not, manual data integration is a time-consuming art that's quickly becoming extinct. Why make a point to avoid it? Well, many businesses are so used to manual integration, they don't realize just how counterproductive it really is.

With manual data integration, there's a truck load of upfront research required in order know where to look for your business's data in the first place. Once that's completed, there are endless amounts of query searches and interface hoops to jump through before you even retrieve any data. So, stay away from manual integration. 

 

Common Data is Streamlined Data

Streamlining big data is a big deal and in order to get your business's everyday data on a level playing field, it has to have something in common. That's where common data storage comes into play. Regardless of the number of databases your business draws from, common data storage integrates all that data automatically.

 

In other words, common data storage uses your query to search and extract the data from multiple databases and converts it to a compatible format. Then, the new "universal data" is stored in a common database that's easily accessible. And again, all this takes place through one convenient query.

 

Integration Tools and Data are Best Friends

If you're business is looking for a plug and play approach to streamlining and condensing its data, there's plenty of data integration software available that makes integrating your business's data a breeze.

These self-service integration tools are capable of handling everything from indexing and searching external databases to querying multiple servers and engines. Another nice thing about most integration tools on the market is their scalability, which makes them apt for single users, a whole department, or an entire corporation.

 

Integration for Ever-Changing Data

Data that changes frequently, such as the case with customer records and retail transactions, needs a different integration approach. With database networking, potential queries are updated on a continuous basis and on a local and global level because that information is shared through individual sources as opposed to the databases themselves.

Focusing on particular parts of any data system, database networking allows your business to fulfill queries by analyzing an overall set of data or specific data sources. And, because the data exists on a network much like the cloud, database networking can find query relationships within new and always-updating data.

 

When it comes to data integration, the information above will help your business decide which techniques work best for streamlining and which are best to avoid altogether.

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Adam Groff

Adam Groff is a freelance writer and creator of content. He writes on a variety of topics including health and technology.

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