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A Simple Explanation Of What Big Data Is

Big Data has become a new buzz word in the IT industry. Everyone is talking about it and repeatedly using it to impress others, even if they themselves don't really know what it means. It is often used out of context and more as a marketing gimmick. This article aims to explain what Big Data really is and how it will be useful in solving problems. Physics and Mathematics calculations can give us the exact distance from the East Coast of the USA to the West Coast, accurate to about 1 yard. This is a phenomenal achievement and has been applied to various technologies in our daily life. But the challenge comes in when you have data which is not static, which is constantly changing and changing at a rate and in volumes which are humongous to determine in real time. The only way we can process this data is by using computers. IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. But there are many more aspects of it. Big data can be descri

Big Data: What It Is and What to Do With It?

You may have heard the term big data before. It is usually measured by petabytes. To give you an idea how large this actually is, you can forget about megabytes or even terabytes. 1000 gigabytes equals a terabyte. A thousand of these and you've got a petabyte. This is an astronomical amount of data and it is because the infrastructure of the company has allowed it to get this large. Whether it's a website, a data processing center or something else, there is too much data. It is almost impossible to collect all the data when it is so enlarged. Most companies can barely store it let alone utilize it effectively. As a result, there needs to be some sort of fix for it. There are many companies that help with this big data . Whether it's storing it or leveraging it, you get access to the data again. This can mean getting your data on demand. You get a workflow that can actually be utilized because the data is condensed. Resources are limited when there is so much data. It

Big Data Processing: The Latest Trend In Online Business

A big data processing business may seem like a real leap for someone considering an Internet startup, but it's not as far out of reach as you might think. In fact, "big data", commonly defined as data sets so large they can't be handled by most average software tools, is becoming a necessity for so many applications these days and it requires trained professionals to deal with this type of specialized programming. Think of it this way... with more and more people using technology every day, the traffic on the information superhighway has become quite congested. You've got smart phones, tablets and notebooks allowing people to access information no matter where they are, any time of the day or night. All of which adds up to major convenience... but it also leads to the inevitable traffic jams. Then you have applications that make use of larger, more complicated sets of data in order to provide their services. They're like the big rigs on the road pulling t

How to Relevance of Big Data In Today's Business?

Big Data is a word that refers to collection or combination of large pools of data sets to discern patterns that vary in size, complexity and growth rate. The volume, velocity and variability of data makes it difficult to capture, process, manages or analyze by any random tools and technologies. It is significant for individual firms & government to gather large pools of data and analyze it to make better decisions, enhance productivity and grow business. This complex data is driven by modern technologies weblogs, Internet searches, social networks such as Facebook, Twitter, LinkedIn etc., portable devices, smart phones, call center records etc. No technology has come up to define its growth as it is expected that the growth rate is likely to increase in future. To get better results and utilize data effectively, the big data must be combined with other enterprise applications such as Enterprise Resource Planning or Customer Relationship Management etc. Companies are able to