Big Data

Big Data

Big Data is a term used for a collection of data sets that are large and complex, which is difficult to store and process using available database management tools or traditional data processing applications. Daily we upload millions of bytes of data. 90 % of the world’s data has been created in last few years.

Applications of Big Data

We cannot talk about data without talking about the people, because those are the once who are getting benefited by Big Data applications. Almost all the industries today are leveraging Big Data applications in one or the other way.

Smarter Healthcare: Making use of the petabytes of patient’s data, the organization can extract meaningful information and then build applications that can predict the patient’s deteriorating condition in advance.

Retail: Retail has some of the tightest margins, and is one of the greatest beneficiaries of big data. The beauty of using big data in retail is to understand consumer behavior. Suggestion based on the browsing history of the consumer, they supply their product to increase their sales.

Manufacturing: Analyzing big data in the manufacturing industry can reduce component defects, improve product quality, increase efficiency, and save time and money.

Traffic control: Traffic congestion is a major challenge for many cities globally. Effective use of data and sensors will be key to managing traffic better as cities become increasingly densely populated.

Search Quality: Every time we are extracting information from google, we are simultaneously generating data for it. Google stores this data and uses it to improve its search quality.

Sales promotion: Prominent sports persons or celebrities are selected as Brand Ambassadors for their products by the prominent industries through big data got from social media or from other organizations.

Challenges with Big Data

We have a few challenges which come along with Big Data those are data complexity, storage, discovery analytics and lack of talent. But we have several advance programming language that can handle the issue of Big data, like Hadoop, Mapreduce, Scale etc., and many of this languages like open source, Java-based programming framework that supports the storage and processing of extremely large data sets in a distributed computing environment.