08-10-2016, 12:23 PM
[attachment=72741]
The term Big Data is being increasingly used almost everywhere on the
planet – online and offline. And it is not related to computers only. It comes under a blanket term
called Information Technology, which is now part of almost all other technologies and fields of
studies and businesses. Big Data is not a big deal. The hype surrounding it is sure pretty big deal to
confuse you. This presentation takes a look at what is Big Data.
In short, all the data – whether or not categorized – present in your servers is collectively called
BIG DATA. All this data can be used to get different results using different types of analysis. It is not
necessary that that all analysis use all the data. Different analysis uses different parts of the BIG DATA
to produce the results and predictions necessary. Big Data is essentially the data that you analyze for
results that you can use for predictions and for other uses.
Google, eBay and LinkedIn were among the first to experiment with big data. They developed
proof of concept and small-scale projects to learn if their analytical models could be improved with
new data sources. In many cases, the results of these experiments were positive. Today, big data
analytics is no longer just an experimental tool. Many companies have begun to achieve real results
with the approach, and are expanding their efforts to encompass more data and models.
The main aim of this presentation is to study what is BIG DATA in brief, the trends in IT
that support it, and the tools used in it, the sources of it, the benefits and risks involved with it , its
applications and its FUTURE.
The term Big Data is being increasingly used almost everywhere on the
planet – online and offline. And it is not related to computers only. It comes under a blanket term
called Information Technology, which is now part of almost all other technologies and fields of
studies and businesses. Big Data is not a big deal. The hype surrounding it is sure pretty big deal to
confuse you. This presentation takes a look at what is Big Data.
In short, all the data – whether or not categorized – present in your servers is collectively called
BIG DATA. All this data can be used to get different results using different types of analysis. It is not
necessary that that all analysis use all the data. Different analysis uses different parts of the BIG DATA
to produce the results and predictions necessary. Big Data is essentially the data that you analyze for
results that you can use for predictions and for other uses.
Google, eBay and LinkedIn were among the first to experiment with big data. They developed
proof of concept and small-scale projects to learn if their analytical models could be improved with
new data sources. In many cases, the results of these experiments were positive. Today, big data
analytics is no longer just an experimental tool. Many companies have begun to achieve real results
with the approach, and are expanding their efforts to encompass more data and models.
The main aim of this presentation is to study what is BIG DATA in brief, the trends in IT
that support it, and the tools used in it, the sources of it, the benefits and risks involved with it , its
applications and its FUTURE.