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12/30/2014 The Future of Big Data and Hadoop
http://www.venturesity.com/blog/the-future-of-big-data-and-hadoop 1/5
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IN BASICS - VENTURESITY
The Future of Big Data andHadoop
In 2013, Hadoop took a great leap forward withHadoop 2.0(YARN), as this converted Hadoopfrom a batchonly filebased stack into a set ofinteractive capabilities with multiple optionaldatabases. But as the Hadoop technology embarkson its second stage of evolution, how will itinfluence the Big Data world going forward?
Editor’s note: To know how PredictiveAnalytics is helping business understandcustomers based on their behaviours, registerfor our upcoming Big Data Analytics
A study of over 200 IT professionals reveals that32% of companies polled have existing ApacheHadoop deployments. 31% indicated having plansto deploy it within 12 months and 36% said theirHadoop deployment schedule would go beyond 12months. Of those organizations that already useHadoop, nearly 39% reported using Hadoop forservice innovation including analysis of secondarydata for modeling of “ifthen scenarios” for productsand services.
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12/30/2014 The Future of Big Data and Hadoop
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Hadoop for sensor Data AnalyticsHadoop is expected to drive business efficiency byslicing, dicing and analyzing sensor data comingfrom the Internet of Things. It provides businessowners a better understanding of what ishappening with their processes and tools.
In today’s world, almost everything that can betracked has a sensor attached. Hadoop is likely tobecome one of the best tools to monitor themomenttomoment status of performance and/oroperations based on the analysis of massiveamounts of historical data andhelp businessesincrease operational efficiency, minimize downtimeand cut costs. That said, in the near future Hadoophas a good chance to become an attractivecandidate for sensor data storage solutions.
12/30/2014 The Future of Big Data and Hadoop
http://www.venturesity.com/blog/the-future-of-big-data-and-hadoop 3/5
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More SQL on Hadoop InitiativesInnovative Hadoop platforms such as Pivotal HD ,Impala or Presto are revamping the Hadooptechnology to operate more like a relationaldatabase, thus enabling users to rapidly ask datarelated questions using SQL. Recently, most of thedatabases within the Hadoop ecosystem such asMongoDB, Cassandra or HBase have been nonrelational and NoSQLbased. These platforms letyou query the same data in a realtime manner, i.e.in seconds
Five years ago, a company had to pay $100K perterabyte of data for a perpetual software license aswell as $20K per annum for support andmaintenance. Now the Hadoop technologybasically enables businesses to store, manage andanalyze the same amount of data with a $1,000 /year subscription. Hadoop will make Big Datastorage and management pretty lowcost, whichwill inevitably lead to vendor market fragmentation.
Hadoop to become the Defactostandard for building enterprise levelBig Data ApplicationsAccording to Hadoop creator Doug Cutting, “moreand more types of workloads will be supported ontop of Hadoop” in the future. Beside networkmonitoring, fraud prevention, and targeting or riskmodeling, the Hadoop technology is expected tobe used in eCommerce for processing purchasingtransactions and provide new tools for dataaggregation, analysis and interpretation. As such, itis likely to become an operating system kernel forany datacentric platform, i.e. the defacto standardfor developers to build their big data applications.
Big Data will revolutionize learningand is one of the hottest career optionBig data is reshaping IT business. Thanks to cheapstorage, massive processing power, and tools likeHadoop, organizations are now able to mineterabytes of information and derive useful businessintelligence from it. The data revolution is alsocreating a new breed of hybrid businessIT jobs,ones that blend business knowledge and powerfulIT tools to the benefit of techsavvy lineofbusiness professionals — and the possibledetriment of IT pros oblivious to the big data trend.The hottest careers right now have to do with usingdata effectively. Data analysts scrutinize data
12/30/2014 The Future of Big Data and Hadoop
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based information to provide recommendationsthat assist senior leadership in making decisions.
Traditionally business analysts have beenconcerned with structured data from a singledatabase source; however the use of unstructureddata from multiple sources – “Big Data” – hasgiven new depth and complexity to data analysis.Given the current talent crunch, a salary is reallyas much as a company is willing to spend. AHadoop engineer making $110,000 might easily bevalued by another company at $145,000. Both arereasonable salaries, but the second company maybe in a situation where big data tech developmenthas a larger impact, and thus is willing to pay morefor the hire. Many of the jobs in big data tend tohave highvariance compensation, as there alwaysseems to be a company out there willing to outbid.
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