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Big Data Analysis—Introduction and Future Trends

  • Umesh R. Hodeghatta
  • Umesh Nayak
Chapter

Abstract

Data is power. Data is going to be another dimension of value in any enterprise. Data is the decision driver going forward. All organizations and institutions have woken up to the value of data and are trying to collate data from various sources and mine it for its value. Businesses are trying to understand consumer/market behavior in order to get the maximum out of each consumer with the minimum effort possible. Fortunately, these organizations and institutions have been supported by the evolution of technology in the form of increasing storage power and computing power, as well as the power of the cloud, to provide infrastructure as well as tools. This has driven the growth of data analytical fields including descriptive analytics, predictive analytics, machine learning, deep learning, artificial intelligence, and the Internet of Things. Organizations are collecting data without the need for thinking the value of it and use it to tell them the value the data has for them. Data is made to learn from itself and thus throw light on many that have been hitherto unknown or possibly a logically thinking person may not think of or accept at face value.

Keywords

Future Trend Deep Learning Hadoop Distribute File System Business User NoSQL Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Dr. Umesh R. Hodeghatta and Umesha Nayak 2017

Authors and Affiliations

  • Umesh R. Hodeghatta
    • 1
  • Umesh Nayak
    • 1
  1. 1.BangaloreIndia

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