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Big Data analytics - Hadoop performa...

Raste, Ketaki Subhash.

Big Data analytics - Hadoop performance analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big Data analytics - Hadoop performance analysis.
作者:	Raste, Ketaki Subhash.
面頁冊數:	55 p.
附註:	Source: Masters Abstracts International, Volume: 52-06.
附註:	Adviser: Carl Eckberg.
Contained By:	Masters Abstracts International52-06(E).
標題:	Computer science.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1555825
ISBN:	9781303891458

Big Data analytics - Hadoop performance analysis.
Raste, Ketaki Subhash.

Big Data analytics - Hadoop performance analysis. - 55 p.

Source: Masters Abstracts International, Volume: 52-06.

Thesis (M.S.)--San Diego State University, 2014.

This item must not be sold to any third party vendors.

The era of "Big Data" is upon us. From big consumer stores mining shopper data to Google using online search to predict incidence of the flu, companies and organizations are using troves of information to spot trends, combat crime, and prevent disease. Online and offline actions are being tracked, aggregated, and analyzed at dizzying rates. For example, questions like, how many calories we consumed for breakfast, how many we burned on our last run, and how long we spend using various applications on our computer, can be recorded and analyzed. We can lose weight by realizing we tend to splurge on Thursdays. We can be more efficient at work by realizing we spend time more than we thought on Facebook.

ISBN: 9781303891458Subjects--Topical Terms:

199325
Computer science.

Big Data analytics - Hadoop performance analysis.
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520 $a The era of "Big Data" is upon us. From big consumer stores mining shopper data to Google using online search to predict incidence of the flu, companies and organizations are using troves of information to spot trends, combat crime, and prevent disease. Online and offline actions are being tracked, aggregated, and analyzed at dizzying rates. For example, questions like, how many calories we consumed for breakfast, how many we burned on our last run, and how long we spend using various applications on our computer, can be recorded and analyzed. We can lose weight by realizing we tend to splurge on Thursdays. We can be more efficient at work by realizing we spend time more than we thought on Facebook.
520 $a Data warehousing and data mining are related terms, as is NoSQL. With data firmly in hand and with the ability given by Big Data Technologies to effectively store and analyze this data, we can find answers to these questions and work to optimize every aspect of our behavior. Amazon can know every book you ever bought or viewed by analyzing big data gathered over the years. The NSA (National Security Agency) can know every phone number you ever dialed. Facebook can and will analyze big data and tell you the birthdays of people that you did not know you knew. With the advent of many digital modalities all this data has grown to BIG data and is still on the rise.
520 $a Ultimately Big Data technologies can exist to improve decision-making and to provide greater insights...faster when needed but with the downside of loss of data privacy.
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