Data Management in Today’s Big Data Environment

These tips can help you get started managing your big data.


You Can't Detect What You Can't See: Illuminating the Entire Kill Chain

Posted December 4, 2015

Guest Author

(Page 1 of 2)

By Sameer Bhatia, founder & CEO of ProProfs

Data management is crucial for helping to establish the best possible customer relationships. This practice has become even more important in today’s world of big data. Big data procedures require businesses to concentrate heavily on new ways of sorting through information and getting databases up and running.

A reliable knowledge base can work with big data files to make it easier for documents to be organized and searched. Considering how massive some of these files can be, it is crucial to ensure that the right files can be found in as little time as possible. Failing to get this to work properly can result in some serious issues relating to the ways how data is being kept under control.

Data management practices have to be used carefully within big data environments. This is to make it easier for data to be organized with care.

If used right, a knowledge base will be easier to handle than what anyone might expect. Big data does not have to be as intimidating as it appears to be.

Work With Unique Sets

The most important part of data management when working with big data is to find a way to make the data easier to manage. The most commonplace and sensible way to do this is by using a series of unique sets that are very specific and detailed. Unique sets can be established by placing parameters over the pieces of information that have to be recovered. This in turn allows the big data sample to shrink as certain items that are not going to qualify for a review will be left out.

This shrinking makes the big data sample easier to handle. It also helps with sorting out information so that it will not be too hard to follow.

The data sets should be organized based on what you find and the data that you are trying to reach. You may have to adjust the titles and other details on your files on your own to make it work, but it should not take much effort. The goal of data management is to simply keep your sets as unique and specific as possible so that what you have will be easier to read on any platform.

Stream Your Data

Streaming data has never been more popular than it is now. It’s a process that involves data being accessible off web servers, social media sites and other places. That is, you don’t have to struggle with keeping it on a hard drive. Streaming data is easy to gather and can be analyzed through just about any data management program available today. This should help you keep your data files ready and accessible without wasting too much time going onto your hard drive and looking through every piece of information just to find the knowledge base data that you want.

The streaming process does work best if you have a proper online portal. This provides a better control that will be easier to handle.

Streaming will work best if you have a strong connection. This connection has to be organized so that the data won’t be too hard to load, but your online connection must also be strong enough that you can get this information gathered in as little time as possible.

Virtualization Is a Big Part of Data

Virtualization has become a crucial part of running a reliable knowledge base in recent time. Virtualization refers to the creation of a virtual database, operating system or server. This practice can be used with data management plans in mind as well.

Virtualization can work by centralizing the storage of all pieces of data in a management set. The storage support can be linked to one large virtual hard drive or server space. This allows data to be easier to collect and store. The data can then be gathered and adjusted with unique sets, as mentioned earlier.

Virtualization also helps in the data management process by taking existing sources of data and backing them up on more than one virtual server or drive if needed.

Understand Where It Goes

The process of handling your big data plans should be organized in such a manner that there will be a centralized group responsible for taking care of your setup. You can use a data warehouse group to help you out with organizing your data. A warehouse group can help by offering a special platform to allow you to manage your data in a suitable and sensible manner.

A central IT center may also be used to provide you with the infrastructure needed to manage your big data plans. This includes the proper servers and online connections needed to make it all happen. Be aware that you might not have access to software programs from some central IT centers and that you might be on your own with regards to paying for such services.

You can always customize your data systems to help you figure out where the information will go so that you won’t have much of a challenge with making it work. If used right, it should not be too complicated for anyone to access data in a series of specific requirements.

Page 1 of 2

1 2
Next Page

0 Comments (click to add your comment)
Comment and Contribute


(Maximum characters: 1200). You have characters left.



IT Management Daily
Don't miss an article. Subscribe to our newsletter below.

By submitting your information, you agree that datamation.com may send you Datamation offers via email, phone and text message, as well as email offers about other products and services that Datamation believes may be of interest to you. Datamation will process your information in accordance with the Quinstreet Privacy Policy.