Posted by jaymepobre748 May - 3 - 2016 ADD COMMENTS

MapReduce is a software framework. Its main purpose is to help in writing and constructing those documents which have huge amounts of data and other such things. This software basically helps to ease the process by taking care of all the faults et al. The work is carried out in a reliable way by dividing the data that is available into different groups and then sorting them out as per the needs of each document to be prepared. It is a framework which has the responsibility of monitoring and completing all such tasks and even re-doing them in case there is a failure.

MapReduce tutorial is available on the internet and must be carefully gone through before one begins to use the Hadoop applications. It works at two levels. At the first level, it takes in all the information and then processes it. It sub-divides it into groups and then distributes it to carry on the work. It may further be divided as well which will make multiple levels which need to be worked on accordingly. The problem is then solved and the replies are sent back. The second level is when all these solutions are combined and then sent as a reply to the main problem, which becomes the output.

So, in order to process large sets of data and huge amounts of information, one can go for MapReduce, which is an efficient, easy and user friendly way to do so. It is dependable and is a very easy-to-understand software. All this comes under a system called the Hadoop Distributed File System (HDFS.) It works in almost all operating systems and has the ability to perform tasks quickly and by removing all faults, even when the data set is enormous. It ultimately leads to better working of companies by increasing productivity and thus, the efficiency. Since it is compatible with all operating systems, file transfer and exporting or importing of data becomes very easy and even saves a lot of time.

Hadoop Distributed File System also has a special feature by the name of Hadoop ecosystem, which is unique in its own ways. It is a special software which further adds value and more characteristics and abilities to the already available distributed file system. In other words, it has some additional tools and understands higher level languages too, which further increases the level at which tasks are carried out. In fact, it uses online applications to select the required data and carries out all the operations at very high speed.

Author has 3 years experience in Internet Marketing.Know about Mapreduce information about Hadoop ecosystem and Hadoop architecture.

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Posted by jaymepobre748 June - 18 - 2015 ADD COMMENTS

Rise of the machines: The industrial Internet of Things is taking shape
Recent technologies including Hadoop, data analytics, cloud computing, and visualization, offer a path to big data insights. The challenges to realizing the full potential of the industrial IoT are not necessarily shortcomings in the available …
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Mainframes best for next generation of big data workloads, CIOs say
Far from being consigned to history, mainframes will be key to running a new generation of 'big data' applications, a survey of CIOs has revealed. However, firms face a lack of relevant skills as knowledge of systems is lost with older generations of …
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The Software defined contact centre
Cloud computing has transformed the contact centre industry. Like many other businesses the benefits of increased flexibility, lower capital expenditure and reduced … Adding to the benefits of cloud based contact software is how it lends itself to …
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Posted by BlairMABEL25 June - 5 - 2015 ADD COMMENTS

Lawrence Ampofo: Digital Strategist, Big Data, Internet of Things, Social Media – SR Podcast
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Posted by BlairMABEL25 April - 18 - 2015 ADD COMMENTS

Big data has changed things less than you think
That's the key takeaway from a Dell Software-sponsored Unisphere survey, which finds that 75 percent of enterprise data remains under the lock and key of RDBMSes, primarily Oracle and Microsoft's SQL Server for most enterprises. More surprising is the …
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Apple, IBM Launch More Biz iOS Apps
By combining forces, the companies aim to help enterprise customers make more effective use of iPads and iPhones in the workplace by integrating these devices with IBM's big data and analytics capabilities. Among the companies already using the initial …
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Odyssey Consultants Delivers More Powerful Analytics Using Cloudera
Cloudera is revolutionizing enterprise data management by offering the first unified platform for big data, an enterprise data hub built on Apache Hadoop. Cloudera offers enterprises one place to store, access, process, secure, and analyze all their …
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Shift Happens: Big Data Causing a Fundamental Shift in C-Suite Strategies
BigData_2015 Platfora, the Big Data Analytics platform built natively on Apache Hadoop and Apache Spark, announced a study by The Economist Intelligence Unit (EIU) that explores, in detail, the beliefs, priorities and opinions on big data analytics by …
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Posted by admin December - 14 - 2014 ADD COMMENTS

The 6 Things Everyone Needs to Know About the Big Data Economy
The big data economy is scaling up, to match the lightning speeds at which the volume of data available for analysis is growing. 90% of the data available today was created within the last two years, and by 2020 it is estimated there will be 10 times …
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The 10 Coolest Big Data Products Of 2014
Sales of big data hardware, software and services are expected to reach $ 28.5 billion this year and $ 50.1 billion in 2015, according to market research organization Wikibon. A.T. Kearney forecasts that global spending on big data technology will grow …
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New choices bring enterprise big data home
I've heard recently from a bunch of big-data-related vendors that are all vying to gain from your sure-to-grow big data footprint. After all, big data isn't about minimizing your data set, but making the best use of as much data as you can possibly manage.
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Posted by BlairMABEL25 April - 24 - 2012 ADD COMMENTS

Joe Stein – All Things Hadoop
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