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Sanchit
- 28 May
- 0 Comment
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now a day, we have huge amount of data. so, we have to work on this huge and large amount of data. so, we use to handle huge data by hadoop.
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Rabi
- 24 Jul
- 0 Comment
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Actually there is no term as large data analysis it is just a part of data analytics. The difference is that we just consider the data that obtained in survey and other in data analysis but in data analytics this includes the tools and stratagies that a person takes under his view in order to be in the competetion. This takes a long way to learn and considers the data scientists and the data analysied it mixes the semi-structured and unstructured data that came from webserve logs, surveys and etc..,
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Nama
- 02 Jul
- 0 Comment
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Basically Large or Big data analysis is a process to check and examine large and varied data records. it is used to examine market trends, customers need and choices, uncover hidden patterns and usefull informations. The analysis makes eay to make further steps in bussiness. As a reult it can lead to good efficiency in work, provide better sevice and can also lead to buissness benifts and profits. Every buissness requires a good data analytics.br /Few examples of data analytics are-br /HADOOPbr /TEXT MINING br /APACHE HADOOP YARN.
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Shubham
- 29 Jun
- 0 Comment
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Big Data Analysis is analysis of data, but here data is not just your usual data - numbers, strings etc. In fact, it is data which is huge in size(volume), variety, and generated at high velocity and this data may be structured and/or unstructured.br /Your traditional data processing tools can't handle such data, you have different architecture as well as algorithms to not only process such data but also to store. br /Hadoop is popular framework used for the same.br /I am assuming you know about analysis.
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Shreya
- 11 Dec
- 0 Comment
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strongBig Data analytics/strong is the process of collecting, organizing, and analyzing stronglarge/strong sets of strongdata/strong (called strongBig Data/strong) to discover patterns and other useful information. Analysts working with strongBig Data/strong typically want the knowledge that comes from analyzing the strongdata/strong.