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Data Challenges on eBay:

– Visualization, Next Generation Profiling & Profiling Challenges #3/6: Next Generation Profiling
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caesarea, israel (PRWEB) February 06, 2015

Svroflex is involved with developing advanced chips that provide a response to Big Data challenges. We develop components capable of handling data transfers at rates of 25GB per channel, and in coded data transmission to existing wireless devices.

Another feature the Svroflex chips enables is the use of MINO – Multiple Input Multiple Output, meaning, an improvement in the absorption of radio waves by a number of antennas. When radio waves are reflected off walls, doors and other objects, usually reception on the antenna causes a wave destruction (multi-channel occurrence), which eliminates some of the signal. Through the use of MIMO and “relocation” the data current can be divided into various spatial currents and absorb a number of antennas to enable unharmed data transfer.

Svroflex’s innovative technology will pave the way for higher levels of components’ integration in computerized systems and consumer-electronics applications. By doing so, it will be possible for example to closely integrate between the main processor, the memory and the communication chips just to create a “building block” made of silicone, which will run at an infinitely higher speed than the fastest processors that are currently available.

Svroflex technological developments takes strides into the application and commercially based world of development and help industry meet the growing demand for silicone chips’ performances and computer power as a whole.

Svroflex networks that provide data transfer enable a much faster transfer than what we what is available today. Staffers will be able to make a very fast connection from anywhere in the organization to emails, internet and the company’s large data files.

Svorflex develops chips UWB technology capable of upgrading products in the digital home by providing a coverage of the short-range communication systems for rescue and disaster areas and for industrial multimedia integrated supervision. UWB provides broadband communication at a low level of transmission, causing the very high communication rate transmission to exist at the shortest possible range and move up to dozens of meters. Due to the low transmission rate, the UWB works in tandem with any other wireless device that operates in the environment without causing disruptions. For example, a Wi-Fi supporting device will interpret the weak signal as “noise” and filter it out. UWB uses the low transmission capacities, which according to FCC American standards is suitable to a human environment.

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NEW YORK (GenomeWeb) – Presenters at this week's annual meeting of the American Society of Clinical Oncology shared new data highlighting incremental steps toward a more comprehensive understanding of the genetic variants that confer a greater risk …
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What is not clear at this point is how many of the petitions were withdrawn after employers filed Statements of Position challenging the proposed units as inappropriate. Under the amended rules, if an employer contends that the petitioned-for unit is …
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Data Challenges on eBay:

Albany, NY (PRWEB) October 20, 2014

Big Data and predictive analytics solutions are poised to optimize the value of data within the financial services sector. Banks, investment firms, insurance companies and other service providers are learning to leverage the value of data and gain competitive advantage, minimize costs, convert challenges to opportunities, and minimize risk in real-time.

View Full Report at http://www.marketresearchreports.biz/analysis/226337

Big Data technologies and related business intelligence solutions provide financial services firms with the capability to capture and analyze data, build predictive models, back-test and simulate scenarios. Through iteration, firms will determine the most important variables and also key predictive models.

There is a huge opportunity for financial services firms to apply new data sets and new algorithms to optimize capital allocation, cash management, and currency processing. The financial implications are manifest in improved capital flows and profitability for many firms within the ecosystem.

Download Detail Report With Complete TOC at http://www.marketresearchreports.biz/sample/sample/226337

Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2014 – 2019 evaluates Big Data prospects and opportunities within the financial services sector and answers the following key questions:

How is Big Data expected to impact the financial services industry?

What are the Big Data players financial management solutions and their impact?

What are the Big Data financial management models and how are they applied?

What are the near-term and long-term benefits to the financial services industry?

What are the specific challenges that the financial services industry faces with Big Data?

All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you’re addressing. This needs to be used within three months of purchasing the report.

Target Audience:

Big Data companies

Telecom service providers

Financial services companies

Regulatory and policy makers

Data services and analytics companies

Cloud and telecom infrastructure providers

Browse All Mind Commerce Publishing Market Research Reports at http://www.marketresearchreports.biz/publisher/4

Report Benefits:

Big Data in financial services forecasting through 2019

Identify leading companies and solutions for financial sector

Understand the role and importance of Big Data in financial services

Recognize the future prospects for Big Data in financial services industry

Identify initial and ongoing implementation areas for Big Data and analytics

Companies in Report:

1010DATA        

10GEN

ACTIAN                

ALTERYX            

AMAZON            

ATTIVIO

BMC

BOOZ ALLEN HAMILTON

CAPGEMINI        

CISCO SYSTEMS

CLOUDERA        

CSC

DELL

EMC

FUSION-IO

GOODDATA        

GOOGLE            

GUAVUS            

HITACHI

HP

IBM

INFORMATICA

INTEL    

MARKLOGIC    

MICROSOFT

MU SIGMA

NETAPP

OPERA SOLUTIONS

ORACLE

PARACCEL

QLIKTECH

SAP

SGI        

SPLUNK

TERADATA

TIBCO SOFTWARE

VMWARE

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View Full Report at http://www.marketresearchreports.biz/analysis/224899

Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data. Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.

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Download Detail Report With Complete TOC at http://www.marketresearchreports.biz/sample/sample/174419

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– Big Data Challenges for Business
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