In today’s digital world, data has been increasing at a very fast pace which demands organizations to focus on data and business intelligence. There is a drastic increase in technologies which rapidly evaluates massive amounts and varieties of data flowing from different devices, sensors, mobiles, web, etc. The recent improvements in storage, networking and computing technologies enable organizations to economically and efficiently connect this fast moving and varied type of data and turn it into a powerful source of business improvement. Apart from data and business intelligence, organizations are also focusing on data quality, better analytics, governance and data management as some of their top priorities.
The data generated from several devices is now more as compared to the computer networks which are capable of transporting the same data. According to IDC’s 2011 Digital Universe Study commissioned by EMC
, the amount of information created and replicated this year will surpass 1.8 zettabytes (1.8 trillion gigabytes), growing by a factor of nine in just five years. I read somewhere that Facebook itself has more than 800 million active users with more than 900 million objects such as pages, groups, events and community pages that people interact with. Facebook users spend over 700 billion minutes per month on the site, creating on average 90 pieces of content and sharing 30 billion pieces of content each month.
This endless growth in all kinds of data, most of which is unstructured, can be defined as Big Data. It can also be defined as a set of data which is growing exponentially, too large, too fast, or too unstructured for analysis using relational database techniques.
The data generated from several devices is now more as compared to the computer networks which are capable of transporting the same data. According to IDC’s 2011 Digital Universe Study commissioned by EMC
, the amount of information created and replicated this year will surpass 1.8 zettabytes (1.8 trillion gigabytes), growing by a factor of nine in just five years. I read somewhere that Facebook itself has more than 800 million active users with more than 900 million objects such as pages, groups, events and community pages that people interact with. Facebook users spend over 700 billion minutes per month on the site, creating on average 90 pieces of content and sharing 30 billion pieces of content each month.This endless growth in all kinds of data, most of which is unstructured, can be defined as Big Data. It can also be defined as a set of data which is growing exponentially, too large, too fast, or too unstructured for analysis using relational database techniques.
Wikipedia defines Big Data as “A term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Big data sizes are a constantly moving target currently ranging from a few dozen terabytes to many petabytes of data in a single data set.”
Organizations want to process this petabytes of data in the minimal amount of time‚ in order to speed up and simplify the decision-making process. They want to perform analytics and BI over structured/unstructured Big Data which can extract valuable intelligence and insights from this huge information. This Big Data analytics provides next generation advanced view to the organization enabling them to imagine and implement on prospects of the future. With this analysis, organizations can also gain understanding not just about what’s happening with the business and why, but to also realize what else can be the possibilities.
There are many vendors in Big Data market, such as IBM, Microsoft, Sybase, EMC, and many more. Some of them have implemented Big Data on dedicated and proprietary hardware, some have opted for in-memory solutions, and some have switched from row-oriented style to a column-oriented style of storing the data. Microsoft HDInsight seems to be most viable of them all. According to a Forrester Consulting Total Economic Impact study on the potential benefits of upgrading to SQL Server 2012, a potential return on investment of up to 189 percent with a 12-month payback period can be realized.
An infographic published by Microsoft also shows that SQL Server 2012 will help customers tame Big Data. Microsoft is offering new storage options and provides tools that help with big data analysis. It includes an in-memory column oriented database to improve analytics performance making its self-service business intelligence analytics more accessible to end users.
According to me Big Data seems to be a revolution for data analytics and it would not be wrong to say Big Data as “Beginning of New Era of Analytics in 2013”. Hadoop, an open-source technology, is also one of the answers to Big Data. I would be covering this topic in detail in my upcoming blog.
Have any of you used Big Data? Please share your experience or learning about Big Data. Let me know your views for improvements, or additions.
Organizations want to process this petabytes of data in the minimal amount of time‚ in order to speed up and simplify the decision-making process. They want to perform analytics and BI over structured/unstructured Big Data which can extract valuable intelligence and insights from this huge information. This Big Data analytics provides next generation advanced view to the organization enabling them to imagine and implement on prospects of the future. With this analysis, organizations can also gain understanding not just about what’s happening with the business and why, but to also realize what else can be the possibilities.
There are many vendors in Big Data market, such as IBM, Microsoft, Sybase, EMC, and many more. Some of them have implemented Big Data on dedicated and proprietary hardware, some have opted for in-memory solutions, and some have switched from row-oriented style to a column-oriented style of storing the data. Microsoft HDInsight seems to be most viable of them all. According to a Forrester Consulting Total Economic Impact study on the potential benefits of upgrading to SQL Server 2012, a potential return on investment of up to 189 percent with a 12-month payback period can be realized.
An infographic
published by Microsoft also shows that SQL Server 2012 will help customers tame Big Data. Microsoft is offering new storage options and provides tools that help with big data analysis. It includes an in-memory column oriented database to improve analytics performance making its self-service business intelligence analytics more accessible to end users.According to me Big Data seems to be a revolution for data analytics and it would not be wrong to say Big Data as “Beginning of New Era of Analytics in 2013”. Hadoop, an open-source technology, is also one of the answers to Big Data. I would be covering this topic in detail in my upcoming blog.
Have any of you used Big Data? Please share your experience or learning about Big Data. Let me know your views for improvements, or additions.
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