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What is big data - Modern Modular Architecture

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Big Data is a hot phrase of 2012 and a hot trend of modern day computing world. But what does ‘Big Data’ mean, and how can we exploit it? TechZen Consulting director Joydeep Chakraborty presents a …

Big Data is a hot phrase of 2012 and a hot trend of modern day computing world. But what does ‘Big Data’ mean, and how can we exploit it? TechZen Consulting director Joydeep Chakraborty presents a simplistic view of the subject.




What is Big Data ?

Big Data is a new catch phrase that has bubbled up recently to describe about the explosion in the digital data created by people, corporations, and the government. On a personal level, there has been sharp increase in data in terms of a large number of photos & video uploads on YouTube and Facebook, even the 140 character update in Twitter add up to several terabytes of data every day.

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  • 1. The Big Data World – Modern Modular Architecture By Joydeep Chakraborty, www.thezengarden.in | 8th Feb, 2012 Big Data is a hot phrase of 2012 and a hot trend of modern day computing world. But what does ‘Big Data’ mean, and how can we exploit it? TechZen Consulting director Joydeep Chakraborty presents a simplistic view of the subject. What is Big Data ? Big Data is a new catch phrase that has bubbled up recently to describe about the explosion in the digital data created by people, corporations, and the government. On a personal level, there has been sharp increase in data in terms of a large number of photos & video uploads on YouTube and Facebook, even the 140 character update in Twitter add up to several terabytes of data every day. On a corporate level, there has been anexplosion of structured data as an increasing number of corporations move their internaland external functions to online systems from expense reporting, to attendance reportingto employee benefits claims, travel itineraries, bank, credit cards statements, universityenrolments to medical insurance claims. Places where paper forms and instruments arestill in use for legal or regulatory reasons, they are now scanned and digitised before theyare processed.And finally agencies involved in space, ocean, land, climate, forestry, animal and planetresearch or exploration have also been increasingly collecting data in digitised form.As a result we have been creating 2.5 Quintilian Bytes of data every day. So much that 90%of all the data today, was created in the last 2 years. This enormous amount of data whichthe new catch phrase ‘Big Data’ refers to, creates both a challenge and opportunity forsoftware and webservices providers, especially those involved in the field of analytics. Asyou might imagine, Contextualising this information is an enormous challenge.Fortunately, there are many innovative techniques and tools which allow for us to analyseand make sense of the ‘Big Data’ and use it for business benefits. The ability to mine ‘BigData’ is a boom to both consumer oriented and B2B businesses. Using ‘Big Data’ analyticscompanies present offers, which are precisely targeted to consumers base not only on age,sex, marital status, income, but also on factors such as their current and precise location ascaptured by their location enabled phones. In B2B scenarios, companies are able toeffectively qualify and manage leads across all the available channels including social media
  • 2. and present customise offers to their potential customers. They also are able to analysecustomers issues faster and serve personalised offers for repeat business.For modern day corporates, the velocity with which the business reacts to the changingbusiness dynamics, matter too. The tighter the feedback loop, the greater is thecompetitive advantage. It’s this need for speed, particularly on the web, that has driven thedevelopment of key-value and columnar databases, optimized for the fast retrieval ofprecomputed information. The conventional relational models aren’t the right fit anymore,which is paving way to categories like NoSQL, MapReduce and Hadoop to manage thedistributed file systems.In my next article I will try to go deeper into the above technologies and some more newcatchwords like Mangodb, Couchdb…….Till thenKnow where you want to goFinally, remember that the “big data can create big brainstorms”. So this is no panacea.You can find patterns and clues in your data, but then what ? It is more important todecide first, what problem you want to solve. While big data work may benefit toaccelerate your corporate growth, it also benefits strongly from a concrete goal.