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Showing posts with label data management. Show all posts
Showing posts with label data management. Show all posts

Thursday, July 19, 2018

Five Reasons You Need a Data Catalog


The availability of data governance solutions such as data catalogs is expected to double data governance in size over the next five years. Industry analysts are having different thoughts on the importance of data catalogs and why one needs it.

Saturday, June 23, 2018

The Magic Of Effective Data


In today's world, data rules all. You need to be able to use big data in your business if you are going to compete. This is true with all of the evolution of digital technology regardless of what business you are in. So don't miss chances to grow your sales and organizational efficiency.

Monday, June 18, 2018

How Automated Web Information Extraction can Help your Business


If you run a business in today's world, then you need as much information as possible. Without it, you could miss out on chances to uncover new opportunities and a host of other benefits. Your competition is surely using everything about web extraction they can get their hands on.

Monday, March 27, 2017

How Do Fortune 500 Companies Secure Their Networks?


Networks  

Information flooding the Internet can be easily hacked when it's not properly secured. Trade secrets, payroll and other crucial data must be protected with today's best strategies and tools.


Fortune 500 companies have a lot of information that's proprietary to their needs. Take a close look at how these companies secure their networks from hackers and thieves.

Starting With Classifications

Fortune 500 companies secure their networks by starting with employee classifications. Certain workers should have access to various sections of a company's server, such as payroll or health information. By using a minimum of three classification levels, workers can still be productive with the data that they need while keeping it away from the wrong people. These classifications are in the form of logins, card swipes and fingerprint images. The complexity level of the access pathway depends on the information hidden within.

Investing in Hardware

A key component to any secure network is hardware. Although many companies tout the benefits of cloud servers, this hardware isn't under the business's control. In fact, numerous people might have access to this information at the cloud-based company. Fortune 500 companies must have their own servers and other hardware so that the information is confined to a certain location. Trusted employees are the only ones who can access the information, which dramatically reduces the hacking potential.

Keeping up With Software

Hackers depend on outdated software because it simply makes their job easier. They'll use breaks in the code and hiccups in the system in order to access sensitive information. Fortune 500 companies must keep up with each software update. They might reserve a monthly time period to cover every update, such as after hours or on the weekend. Every software patch makes it harder for the hackers to make their way into the system where they compromise important data.


Incorporating Certified Web Security Solutions

Hackers will often find their way into a company's servers by using the average website. Ideally, Fortune 500 companies will have certified security solutions for their sites. As customers purchase an item through the portal, encrypted software activates for a secure session. Companies purchase these security solutions based on the volume of sales or correspondence through the website. Other background security measures are also part of the package. Companies simply need to work with their security representative in order to create a solid firewall.
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Encrypting Data

Encryption is still a critical part of data protection. Any file transfers must be coded so that the information cannot be pulled through and into hackers' computers. Deciphering these advanced codes is incredibly difficult. Ideally, Fortune 500 companies use the latest encryption software in order to make their data as convoluted as possible.


Documenting IT Changes

Security breaches occur most often when IT professionals don't document the changes in a given system. If several experts work in the same department, undocumented items might be overlooked or improperly applied. Fortune 500 companies encourage documentation of every step taken in the system. Although the process takes some time, it pays off with a secure system that's easily managed by multiple employees. In addition, any mistakes can be found immediately following an update or change. Security breaches tend to follow changes that aren't implemented within the parameters of the software's update.

As today's consumers interact more often with Fortune 500 companies, the transactions need to be enhanced with security as well. Paying with a cellphone instead of a credit card is one way to secure the transaction as encryption and codes pave the way around any hacking. Both businesses and consumers should take a hard look at their interactions so that any disruptions are minimized.



By  Rachelle WilberEmbed





Monday, August 24, 2015

Why Data Virtualization Is the Future


Big Data  


The best virtualization software out there can transform relational data into non-relational data without a problem. Virtualization transforms your mainframe into an actual virtualization platform. This is an unbelievably cost-competitive way for getting to the information you need whenever you need it.

 


When you think about the important processes your company relies on, you may or may not touch on the way your data is managed at some point. If you’re like a lot of people, you might actually take this vital process for granted. There’s nothing particularly exciting about data management, especially when you compare it to things like marketing and sales funnels. Yet there is a lot of potential here for improving how your company operates. That’s why you should definitely invest in data virtualization. No matter what line of work you’re in, this technology could make all the difference.

Why the Current Way You’re Handling Data Is on the Way Out

Don’t get us wrong. While the way you’re currently doing things with your data is far from ideal, it’s not like you’re alone. Most companies are still operating like they were a decade or so ago where their data is concerned. Like we mentioned, it’s not as though this type of thing gets the same attention or is treated with the same kind of enthusiasm as other aspects of business.

Still, let’s look at why the traditional method of accessing information in your mainframe just won’t cut it for much longer.

When you rely on data management via yesterday’s systems, data movement and replication has to go through point-to-point integration. The same goes for intermediary servers and connectors. This creates unnecessary hurdles where there are already enough in the first place.

Furthermore, the future isn’t bright for this type of approach. For one thing, it costs a lot of money to handle data in this way. That’s money that you could be using for a number of other activities. On top of that, a lot of your competitors may have already made the move to data virtualization or are in the process of doing so. This is going to hurt your ability to stay in competition with them.

When you consider how much data is being produced on a daily basis, though, it becomes even clearer that something has to change. In the next 10 years, for example, your company is going to produce all kinds of information. We’re not just talking about things like sales copy or posts on your social media pages. Think about the amount of information that comes with every transaction. Consider all the data that goes along with your sales funnel.

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This is what is referred to as Big Data. The sheer amount of information that is being created is truly hard to grasp and it’s only growing in size. You absolutely have to have software for dealing with this exponential growth. Obviously, you can expect this to add to your overhead as well.

Finally, your customers aren’t going to be impressed—or even understand—if you can’t get a hold of data you have in your own storage on demand. Whether it’s to answer a question they have about their account or facilitate a transaction, the point is the same: you have to be able to get that information or suffer losing credibility with your customers.

A Solution Is Here: Data Virtualization 

With this type of software, you can harvest data from various sources within your digital infrastructure. This is going to be key for most organizations, especially those that have been in business for 10 years or more and most likely have a fragmented storage facility at the moment.


You can overcome this type of problem with data virtualization, though. It’s a specific way of handling all the data your company produces and stores, including the type you may already have stored from years and years before even leveraging the platform.

With this type of software, you can harvest data from various sources within your digital infrastructure. This is going to be key for most organizations, especially those that have been in business for 10 years or more and most likely have a fragmented storage facility at the moment.
Best of all, you can get a hold of this data, spread out though it may be, from a single interface. Basically, you just implement a search and the software handles separating and abstracting the results you need.

Obviously, this provides you with a high degree of flexibility and adaptability. Whatever your interior systems may currently look like, whatever the type of data is that you’ve been storing, how you’ve been doing it or how you use it, you can make these platforms work in the best possible way for harvesting it.

No longer do you have to struggle with the inconvenience of physically moving the data you want. From now on, the metadata necessary for creating a virtual view of your company’s data sources will always be available. As a result, you get a faster and more agile method for accessing and combining data as necessary.

Sources you can now run through whenever you like include:

  • Mainframe
  • Cloud
  • Distributed
  • Big Data


Whether you have them now or know you will in the future, virtualization is the solution you need for conducting productive searches.

Why Virtualization Works

There are many other reasons to love what virtualization has to offer. The main thing it does that the traditional method can’t do, though, is transform your mainframe into an actual virtualization platform. This is an unbelievably cost-competitive way for getting to the information you need whenever you need it.

That’s to say nothing of the better security you’ll get too. Obviously, you don’t want to invest in a solution that can find your info, but makes it easier for prying eyes to do so as well.

Yet, virtualization is still the more affordable option when compared to the way most companies are still doing things. That’s even when you take into consideration the growth of Big Data we’re all about to see.

As we mentioned, formats don’t really matter anymore. The best virtualization software out there can transform relational data into non-relational data without a problem. Again, it doesn’t matter where your data is located either. By turning your mainframe into a platform that makes virtualization possible, you have an all-powerful, easy-to-use software at your fingertips.

Going forward, any company that wants access to its own information is going to need a reliable data virtualization platform for the job. Don’t be the company that still has dust on their methodology in the 21st century.

By Mike MirandaEmbed


Author Bio - Mike Miranda writes about enterprise software and covers products offered by software companies like Rocket Software.about topics such as Terminal Emulation, Legacy Modernization, Enterprise Search, Big Data and Enterprise Mobility.