Data Science : Big Data, Challenges, And Characteristics

CHAPTER 1 1.1 Introduction Big Data has developed over the years new and more complex methods that allows them to see market evolution, their position on the market, the efficiency of offering their services. For being able to accomplish that, a huge volume of data is needed in order to be mined so that it can generate valuable insights. Every year the data transmitted over the internet is growing exponentially. By the end of 2016, Cisco estimates that the annual global data traffic will reach 6.6 zettabytes

Internet of Things and cloud computing, Big Data has the most valuable property. Its value hides in the great storage that needs to be analyzed while cloud computing merely serves as a method or a step to save and store the messages. As rapidly increasing attention is drawn on in recent years, Big Data has wider and wider influences in many fields. With the explosive demands on Big Data analytics, Big Data broadened its definition from an IT term of extremely large data sets to a set of new technologies

technology dependent information age. We leave a trail of data while travelling, shopping, driveing, bloggin, and even voting. All of these activities leave a digital signature unique to us, which if analyzed can predict our next move. Similarly, a large set of data is being created each day by businesses, researchers and the World Wide Web. According to an estimate by the government, there are about 1.2 zettabytes (250 billion DVDs) of electronic data generated each year by everything from underground

process data, enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data, and can scale without limits. With no data is too big. And in today’s hyper-connected world where more and more data is being created every day, breakthrough advantages mean that businesses and organizations can now find value in data that was recently considered useless. Big Data concern large-volume, complex, growing data sets with

Sonali A. Tinkhede et al, International Journal of Computer Science and Mobile Applications, Vol.3 Issue. 1, January- 2015, pg. 33-38 ISSN: 2321-8363 ©2015, IJCSMA All Rights Reserved, www.ijcsma.com 33 Big Data- The Vast Growing Technology with its Challenges and Solutions Sonali A. Tinkhede Student of Master of Engineering in (CS & IT) HVPM‘s college of Engineering and Technology Amravati, India sonali.tinkhede@gmail.com Dr. S. P. Deshpande Associate Professor and Co-ordinator (CSE) HVPM‘s College

complicate the life of the dentist. This chapter considers the challenges and opportunities around storage, sharing and usage of data – particularly large datasets. An increasingly important area of IT/Computer Science/Informatics is data science and as big data has become more prevalent across many industries and sectors there has been the emergence of larger numbers of highly skilled data scientists to support the challenges of data storage, sharing and usage. Such experts can provide far more

CHALLENGES IN EVALUATING BIG DATA University Of Central Missiouri Department of Computer Information Systems Date: 6/ Submitted by: Udayender Reddy SingiReddy 700# 700629634 uxs96340@ucmo.edu CHALLENGES IN EVALUATING BIG DATA ABSTRACT This article discusses firms that are at the leading edge of developing a big data analytic capability. Business firms and other types of organizations are feverishly exploring ways of taking advantage of the big data phenomenon. Big data is increasingly the

have been solving data problems for years. Example, when faced with the large data problem statisticians had a simple and proven technique to solve the problem by sampling the records. This is a sound methodology as the statisticians could prove statistically that a representative or random sample could speak for the whole population. The only problem was that when stakeholders wanted to drill down into the details they inevitably had to query the whole file. The reality is that data scientists run

Abstract- Big data is a hot research topic in today’s world. Data has become an indispensable part of every economy, industry, organization, business function and individual. With the fast growth now-a-days organizations has filled with the collection of millions of data with large number of combinations. This big data challenges over business problems. Big Data is a new term used to identify the datasets that due to their large size and complexity. Big Data mining is the capability of extracting

gb of data. •data volumes are estimated to grow 50 times by 2020. •google receives over 2,000,000 search queries every minute. • 72 hours of video are added to Youtube every minute. •there are 217 new mobile Internet users every minute. •twitter users send over 100,000 tweets every minute (that’s over 140 million per day). •Companies, brands, and organizations receive 34,000 “likes” on social networks every minute. International data Corporation (IdC) predicts that the market for big data technology