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10 BIG DATA FACTS THAT YOU SHOULD KNOW

According to Andrew McAfee, ‘The world is like a big data problem’. Data is the king<br>nowadays. It powers everything one dreams of doing. Data has been evolved as new<br>technical solution for addressing the problems that emerge day by day. The term ‘Big Data’<br>refers to the complex volumes of both structured and unstructured data available these<br>days.

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10 BIG DATA FACTS THAT YOU SHOULD KNOW

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  1. 05 BIG DATA FACTS THAT YOU SHOULD KNOW Metaforum Technologies

  2. According to Andrew McAfee, ‘The world is like a big data problem’. Data is the kingnowadays. It powers everything one dreams of doing. Data has been evolved as newtechnical solution for addressing the problems that emerge day by day. The term ‘Big Data’refers to the complex volumes of both structured and unstructured data available thesedays.One can extract data or information for many sources to analyze it critically. How onemakes the use of big data is more important than the quantity of data that one mightaccess. Many answers are hidden in the big data that can make the lives more convenient.A thorough and careful examination of data careducing costs, determining causes offailures, detecting fraudulent behavior, enhancing decision-making capabilities andoptimization of the available resources.Here are top 10 big data facts that one might be aware of if he desires to turn data intobusiness insights:

  3. 1) Big Data is omnipresent: Today, most of the data is accessible in digital form. A lot of information is available on digital platform with an ever increasing number of things being digitalized and associated with the web. With the invention of 5G or Internet of Things (IoT), any gadget or device can be connected to the web, thereby enabling flow of data. Using this technology anything can be uploaded to the virtual clouds that act as storage for unlimited data. This has resulted in new information streaming into your associations from completely new territories. Associations should utilize this data with no dread to digitize items.

  4. 2) Diverse culture of Big Data: Keeping in mind the end goal to completely exploit enormous information, it is basic to transform your firm into a big data -driven organization. A major information culture requires that representatives be urged to guarantee that the information is gathered and stored properly so that it can be served to the clients on request. They should be prompt enough to inquire and resolve the encountered problem on the spot. The managers should be aware of the application of big data strategies.

  5. 3) Hadoop framework for data processing: The information in a Hadoop system is partitioned into numerous pieces, known as blocks. This means that data is dispersed all through the structure. This provides the scalability that is required for big data trainingprocessing. With the combination of technologies, massive amounts of data can be stored, analyzed and processed in a fraction of a second.

  6. 4) RFID and crime prediction: Over 12 million RFID tags have been sold by 2011. These tags can be used to capture data and track movement of objects in the physical world. Big data can be employed for ‘predictive policing’. The trial to predict crimes before they happen was successful in California. It was able to identify the areas prone to crimes more accurately using big data analysis.

  7. 5) Gravity of Big Data: In less than a minute, the internet is flooded with more than 200 million emails and about 3 lakh tweets. 18 million facebook likes are generated every minute with 2 lakh photo uploads. Google alone is processing over 3.5 billion search queries in a single day. The gravity of the big data is evident from the fact that total amount of data being captured and stored by industry is doubling in every 1.2 years. Learn more @ Hadoop Training in chennai

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