1.1  Introduction to Big Data


Big data analytics is a complex process of analysing large and different types of data sets (referred as big data). Its being used to unhide information which mainly includes various features like hidden patterns, unknown correlation, customer preferences which would be helpful for business organizations in decision making.


Data analytics with its techniques and various technologies is able to provide a means for analysis of Large data sets and use them to draw conclusions which would be further helpful for organizations in decision making related to their business and its growth.


Big data analytics is a type of analytics mechanism involving advanced and complex applications including prediction models and statistical algorithms which could be worked upon by high-end analytics systems for detecting about system performance.


Importance of Big Data analytics is, as it provides various business benefits like effective revenue and marketing opportunities with better customer service having enhanced efficiency among operations. Further it also provides competitive advantages over other profiteers in market.


Data growth have been increased enormously due to advancement in technology like computation, communication mechanisms, sensors, storage devices and their storage capacity has enhanced as compared to size of devices. Likewise in search engines like Google, Yahoo, bing etc have created a pretty big market by collecting all data and information available for free through www and start to provide it to users through the respective platforms which makes a separate economy for these market players.


Huge amount of data has been added to their storage servers day in and day out which the use of new services such as satellite images, driving directions, videos and imagery content. The use of these data items and information content providing benefits to society could not be measured and ignored for making the society of current scenario. These search engines has changed the ways one accesses these information in different forms, which is used effectively now a days for Big Data computing operations. This not only help the information users but also the provider companies, researchers, defence forces and medical systems etc.


The increased importance of big-data and its computing capabilities has originated out from rapid advancement in different digital technologies:


  • Digital Sources: Digital data has been generated out from many different sources like evolving digital imaging mechanisms which includes digital cameras, medical equipment’s like X rays, CT-Scans and MRI machines, sensors in field of chemical and biology like environmental monitors, and from millions of individuals and organizations creating their own digital web interfaces for catching customers.


  • Computer networks: These could also be the reason for generating massive data sets using specific local sensor networks or from Internet.


  • Storage: As storage and its devices are getting cheaper day by day so that also leads to generation of huge amount of digital information which needs to be managed by effective and evolving data handling technologies or frameworks like Big Data & Hadoop.


  • Cluster Computers: It basically comprise of a new form of computer systems, consisting of thousands of systems connected with each other and having several processors and storage devices connected with help of a latest local-area networks having high speed of processing. These configuration of systems and networks are common these days.


These devices or networks provide storage capacity for large data sets plus computing power to organize, analyse


Publisher: BookRix GmbH & Co. KG

Editing/Proofreading: Utpal Shrivastava
Publication Date: 06-04-2019
ISBN: 978-3-7487-0628-1

All Rights Reserved

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