Posted by admin July - 21 - 2015 ADD COMMENTS

The programming framework called MapReduce was developed by Google to develop a large amount of data in the most effective way possible. In fact, it is often used while dealing with a large number of data that needs distribution across hundreds and thousands of machines to handle it efficiently.

Small companies and individuals can utilize this framework to work with data within an organization and discover some significant statistics or correlations in the data. No matter how much what is the total amount of data we need to go through, the functionality of this framework can help us facilitate quicker than ever before.

Whether a data set is complicated, broad or small, one can use this application to query the system to get accurate information. With the correct information to work with, an organization will be able to detect fraud, explore search and sharing behavior, work with graph analysis and monitor the transformations. These are some of the functions that were difficult to manage before, especially in the data sets and were continually adding to the complications in an organization.

Using MapReduce application will split the input data set into various smaller parts and make jobs more manageable, which will then be controlled by the map task in totally parallel way. The framework will then sort the output of the maps and place them into a reduce task. This is among the finest ways to use the resources of distributed and large systems.

Once the overall information has been reduced by splitting, users may depend upon this framework to handle other important functions. This process includes monitoring, scheduling and better re-execution of failed tasks. By systematizing such features, this kind of data mining becomes less complicated and easy to manage with time.

A lot of organizations also use Hadoop training, applications and API to communicate with the functionality of MapReduce. In order to keep the consistency of data, it is important to correctly input data transfers and job configurations into the system. By using Hadoop API, numerous organizations are developing innovative and extremely reliable ways to transfer and move data.

Whether you have a small organization or an already established one, if you feel that this functionality can help leverage your business, a reputed IT service provider can be searched using any reputed search engine online such as Google, Yahoo or Bing. However, the presence of spam sites cannot be denied, hence it is important to check credibility of IT service provider before going through with the process.

Andy Robert provides valuable information and resources for those looking for high quality Hadoop training. Their mission is to provide accurate and reliable information so you can make an informed decision about MapReduce.

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Posted by admin April - 7 - 2015 ADD COMMENTS

Some recent Big Data Analytics auctions on eBay:

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Posted by jaymepobre748 March - 21 - 2015 ADD COMMENTS

Albany, NY (PRWEB) January 25, 2015

Call 866-997-4948 (Us-Canada Toll Free) Tel: +1-518-618-1030 with your industry research requirements or email the details on sales(at)researchmoz(dot)us

The report caters to an audience of big data and analytics companies, data processing and management corporations, all types of cloud-based service providers, public investment organizations such as investment banks, application programmer interface (API) companies, and private investment including hedge funds and private equity.

To get sample report with TOC Click Here:

Big data analytics allows examining of large data sets to uncover hidden patterns, market trends, consumer preferences, unknown correlations, and other relevant business intelligence. These analytical findings enhance marketing and can lead to new revenue opportunities. It also provides improved operational efficiency, better customer service, and a consequent competitive advantage. Most business executives know the importance of market analysis and its impact to their business. However, this process has been carried out for decades by experts distinct from the business itself. These expert professionals enhance the business leaders’ knowledge about the market, which helps them to implement a more informed decision.

Hence, most business executives believe that big data technology aids their business analytics. However, there are many key differences between business analytics and big data. These differences have been elaborated upon in the report. Big data technologies have the potential to bring a higher rate of performance to the analytical process which is conventionally more powerful than analytics. This can be attributed to their improved ability to detect, measure, and manage data with precision. Big data technology represents a revolution in the world of management. Nonetheless, as it happens with any other major change in business the organization can face certain challenges which call for executives’ engagement to sustain big data technologies and keep extracting superior value out of it.

To Browse a Full Report with TOC:

The report provides an executive summary of the industry with big data and business analytics evaluation by volume, velocity, and variety. All the solutions and challenges such as continuous flow of data, privacy challenges, importance of data insights, regulation conflict, and human error latency are addressed in the report. Furthermore, a case study focused on implementation of a big data project has been provided in the report. This case study gives insights about the necessity to understand business needs, benefits of big data to the enterprise, big data planning and goal setting, big data architecture role, and fraud detection.

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Posted by BlairMABEL25 February - 22 - 2015 ADD COMMENTS

Cincinnati, Ohio (PRWEB) October 20, 2014

Field Dailies, a software-as-a-service (SaaS) application for the telecommunications industry, announced today the commercial availability of Field Dailies 2.0, which offers carriers, original equipment manufacturers (OEM), and system integrators, a real-time, field crew data collection and management platform that reduces project close-out processes by up to 70%. Field Dailies 2.0 offers automated geocoded tower photo labeling, digital signature, job safety analysis (JSA), hospital locator, and real-time data analytics that includes individual project milestone tracking, site location, total hours worked per site and percentage of completion.

“Field Dailies 2.0 is ideal for LTE, DAS, and small cell deployment because the platform automates and centralizes the collection of tower crew information on a real-time basis” said Field Dailies CEO Jim Duff. “More importantly, we standardize the installation and project close out process while offering the ability to seamlessly flow site deployment data to and from the carrier, the system integrator and the field crew.”

“It’s just so much faster this way. When my boss asks for a report and for detailed progress, I look at the report and there it is. It definitely speeds up the process.” said Ashley Murphy, MPI Industries.

As a cloud-based solution, Field Dailies 2.0 is available on a per-user basis for as low as $ 65 per month, on an enterprise basis or as a turnkey managed field data management solution, which includes a full-time headcount to prepare client close-out packages.

Field Dailies 2.0 most popular applications include:

Field crew reporting
Picture transfer with standardized labeling convention
Tape drop
Geocoded job safety analysis (JSA) with electronic signature
Site audit
Secure content and file sharing on

For more information about Field Dailies 2.0, please click on one of the links below:

Request demonstration
Sign-up for 14 day free trial
Download white paper

About Field Dailies

Built by seasoned tower crew veterans, specifically for tower crew professionals, Field Dailies provides cloud based, wireless telecom field data solutions that automate, centralize and standardize network deployments resulting in increased safety, cash flows and field crew productivity for carriers, system integrators and original equipment manufacturers (OEM).

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