Posted by gildenshelton565 February - 23 - 2016 ADD COMMENTS

Hadoop co-creator: Spark is great — but people want more
Ten years after its creation, the Hadoop ecosystem is sprawling and ever transforming. InfoWorld's Andy Oliver went as far as to say, "The biggest thing you need to know about Hadoop is that it isn't Hadoop anymore" — at least, not Hadoop as we once …
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For Data Scientists, Big Data is not so Big
Not surprisingly, because these data can be easily analyzable within that environment, most data scientists do not need skills in Big and Distributed Data (e.g., Hadoop and MapReduce). The size of data sets that data scientists analyze have remained …
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Posted by jaymepobre748 June - 24 - 2015 ADD COMMENTS

Unlock More Volume with Broad Match
A Bing product called Broad Match, a method of query-keyword matching, promises to get marketers more conversions and ensure they lose less clicks, while reaching a wider audience. Just like art or beauty, ad relevance is subjective: it's all in the …
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Hadoop: Crossing the chasm to the mainstream?| #HadoopSummit
A big question at Hadoop Summit 2015 is still whether Hadoop has “crossed the chasm” to the mainstream. Ashley … Another example of how data integration can affect real-time business actions comes from one of Talend's financial services customers.
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Yodlee, Inc. (YDLE) in Focus: Stock Falls by 6.6%
Yodlee, Inc. (YDLE – Snapshot Report) saw a big move in the last trading session, as the company's shares fell by nearly 7% on the day. The move came on … The company, which operates a technology and applications platform that provides digital …

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Posted by gildenshelton565 June - 12 - 2015 ADD COMMENTS

AP analysis: Companies 'adjust' profits more in their favor
Most of the time, the adjustments made companies look better by leaving out things like costs related to laying off workers, a decline in the value of patents or other "intangible" assets, the value of company stock distributed to employees, or losses …
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Rutgers University–Camden Appoints Michael Palis New Provost
Palis is internationally recognized for his research in algorithms and parallel and distributed computing, having served on the editorial boards of leading journals in the area including the IEEE Transactions on Parallel and Distributed Systems and the …
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Posted by admin May - 12 - 2015 ADD COMMENTS

– Some challenges to make current data-driven (‘statistical’) models even more relevant to public health
from Infectious Disease Dynamics
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Posted by mod198 May - 7 - 2015 ADD COMMENTS

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Posted by admin April - 10 - 2015 ADD COMMENTS

Big Data Analytics Beyond Hadoop: Real-Time Applications with Storm, Spark, and More Hadoop Alternatives (FT Press Analytics)

Big Data Analytics Beyond Hadoop: Real-Time Applications with Storm, Spark, and More Hadoop Alternatives (FT Press Analytics)

Master alternative Big Data technologies that can do what Hadoop can’t: real-time analytics and iterative machine learning.   When most technical professionals think of Big Data analytics today, they think of Hadoop. But there are many cutting-edge applications that Hadoop isn’t well suited for, especially real-time analytics and contexts requiring the use of iterative machine learning algorithms. Fortunately, several powerful new technologies have been developed specifically for use cases s

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Posted by BlairMABEL25 March - 23 - 2015 ADD COMMENTS

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

  • Used Book in Good Condition

How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web

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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 gildenshelton565 March - 1 - 2015 ADD COMMENTS

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Posted by gildenshelton565 February - 3 - 2015 ADD COMMENTS

Hadoop Analytics Is Finding Favor With More CIOs, Deutsche Bank Says
Hadoop software will figure prominently in CIOs' analytics investments in 2015, according to research Deutsche Bank DBK.XE +0.54% published Wednesday. The findings, culled from interviews with CIOs at global companies in industries such as financial …
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Will this be the year of Hadoop? 6 predictions for 2015
With the New Year finally upon us it seems as good a time as any to ask where Hadoop, the open-source Big Data framework, will be heading in 2015. SiliconANGLE pulled forecasts from an assortment of analysts and industry experts who've tried to second …
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