Why Big Data is bigger than ever – part 1

Big Data is huge and it’s only getting bigger. It’s to the point now where as one writer says we might eventually run out of adjectives to describe this technological revolution – “big data,” “bigger data,” “even bigger data,” and “biggest data.” Indeed, Big Data is on every business leader’s mind today. Data is now considered an asset much like gold, silver, and precious metals. Indeed, we hear a lot about Big Data today and the benefits it can provide to businesses. IT channels are saturated with advice and prescriptions around this market.

 

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There are a number of reasons why organizations should continue to invest in and urgently explore Big Data opportunities. Let’s outline why Big Data is bigger than ever and what your business should be doing about it!

Big Data is only going to get much bigger: Basic statistics tell us that we’re only scratching the surface of where the Big Data market is going. The growth here is exponential since the amount of data in the world more than doubles every 3 years. This means that by 2015 the world will have 8 zettabytes of data, which is an 8 with 21 zeros after it of bytes!

 

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Internet of Things will mean really, really Big DataResearchers predict that by 2020 over 30 billion objects will wirelessly be connected to the internet. With the massive levels of information processing we’re already seeing, it doesn’t take rocket science to imagine the kinds of data that will become available from these sources . . . and the kinds of resources needed to capture and process and share all of this data. Truly, the dawn of the Big Data era is only beginning! The announcement by Google of plans to purchase Nest Labs, makers of digital thermostats and smoke alarms, for $3.2 billion shows the value that the search engine giant puts on the emerging market of Internet of Things . . . and all the rich data that it will produce that will need to be categorized and managed.

Big Data will continue to transform IT infrastructure: The sheer volume of data needing to be managed will force traditional IT shops to upgrade their familiar client-server based systems to account for rapid development cycles and real-time processing demands. Cloud-based systems will increasingly become the solutions of the day, and ultimately will lead to better and faster integrations between the areas of mobile, Big Data, and cloud computing in general.

 

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There is a Big Data talent shortage: You’ve probably heard this point elsewhere but it bears repeating. There exists a clear shortage of talent necessary to meet the business demands of Big Data. According to a McKinsey report on this topic, “The United States alone faces a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts to analyze big data and make decisions based on their findings.”

 

To be continued . . . .

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