How to Get Into Big Data
A few years back, many people who were interested in Big Data would ask me how to get into Big Data. It was obvious that they weren’t aware of what I was talking about. Today, more companies are making it their business to understand the benefits of using Big Data. In this article, I will tell you how to get into Big Data if you have the courage to face its challenges.
Big Data is very similar to today’s traditional databases, such as those found in Microsoft Office, Lotus Notes, and others. These databases store and provide information on virtually every activity performed by a person or a company today. In addition, companies use Big Data to monitor their supply chain activities and find out how their production is faring against its competitors. It can even forecast future results of a particular business strategy.
Big Data has the potential to change how companies operate. Right now, companies mainly to store and retrieve data using proprietary software. As opposed to prior years, companies are no longer restricted to mere filing cabinets full of paper documents. They can now access data from all over the world thanks to an abundance of high-speed wireless internet connections. Today, data is even being gathered through our cellular phones.
In previous articles, I have shared with you ways on how to get into big data. In particular, I discussed three areas where you can quickly improve your productivity and profit margin: data visualization tools, data mining for business opportunities, and access to massive amounts of customer information. However, there are still other ways on how to get into big data. One way is to use “big data analytics,” a technique that uses several different techniques to collect, organize, analyze, and visualize unstructured data sets. The most popular tools are Maple and IBM’s Powerbench.
Some companies are still hesitant to purchase proprietary software because of its cost and complexity. In particular, they are intimidated by the thought of maintaining and updating software. Fortunately, many open source solutions are available. These free software programs provide users with a solid platform upon which to build their own custom software. Some examples of such software include FreeCAD and Netcad.
Another way on how to get into big data is to outsource it to external specialists. For example, pharmaceutical and medical companies can purchase big data visualization tools from companies that specialize in this field. External specialists can help companies obtain insights about consumer behavior and purchase trends. These providers can also help companies analyze the factors that lead to certain consumer behavior. For example, they can use data visualization tools to determine why consumers tend to buy certain products based on shopping habits.
On the other hand, companies can also save money and time by acquiring software as a service (SaaS). This option allows companies to have a single, easy-to-use application that processes, manipulates, and interprets large amounts of data. Moreover, SaaS applications are highly flexible, making them highly customizable. A good example of a SaaS application is IBM’s WebSphere DataStage, which is designed to analyze large amounts of data using the IBM WebSphere Data Analytics Platform.
In general, it is possible for companies to learn how to get into big data by learning more about the different options available. The best course of action is to explore each option to determine what suits the needs of the company best. Once companies have a clear idea about how to best approach big data, they can start building applications that will make handling, managing, and manipulating this valuable information much easier and faster. Indeed, by taking advantage of all of the ways on how to get into big data, businesses can improve their operations in a number of ways.