Posted by BlairMABEL25 April - 12 - 2016 ADD COMMENTS

Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Advanced Analytics with Spark: Patterns for Learning from Data at Scale

In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—classification, collaborative filtering, and anomaly detection among others—to fields su

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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies)

Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies)

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Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale

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Streamlined Mapreduce: Massively Parallel Processing Of Data Streams: By Hich...

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Programming Elastic MapReduce, Paperback by Schmidt, Kevin; Phillips, Christo...
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Posted by admin June - 8 - 2015 ADD COMMENTS

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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Posted by mod198 April - 14 - 2015 ADD COMMENTS


DALLAS, TX (PRWEB) April 09, 2015

Sandlot Solutions, a leading community health interoperability and analytics provider, today formally announced the release of its advanced, SaaS-based technology platform that expands the organization’s big data capabilities into the interoperability space. The big data analytics technology platform allows for a single collection of community health data provided from a patient-centric point of view, spanning virtually every stakeholder in the healthcare community.

The platform is built using Sandlot’s deep interoperability and workflow experience and serves as the hub for the organization’s suite of community health management solutions, including Sandlot Connect, Dimensions, Metrix, Care Assist and Patient Portal. It brings data together from across the community of care, enabling the agile, real-time collection, transportation, viewing and analysis of clinical, claims, administrative and other healthcare-related data from a single, private and secure environment. It radically changes the way that these data files are collected and offers new ways of merging public and private datasets. This infrastructure allows providers to independently examine and explore large volumes of data and facilitates new levels of analytic insight.

“Sandlot’s platform uses the tools and technologies developed for examining vast volumes of clinical documents and messages in near real time. This allows us to reduce the complexity and minimize the cost of integration, which are typically barriers to addressing community health management,” said Paul Steinichen, Chief Technology Officer, Sandlot Solutions. “The timing and speed at which data is collected and then pushed out as useful information is key to helping healthcare professionals better manage the health of individuals and the population. By applying Web-scale technologies that have proven successful in other industries to the healthcare industry, clients can access the data needed more quickly and easily, providing accurate, up-to-the-minute information for care coordination and population health analytics.”

As a highly scalable, cost-effective solution to clinical interoperability and clinical data standardization, normalization, aggregation and enrichment, this platform makes it simple for healthcare organizations to integrate with the Sandlot suite of products and eliminates the need to do extensive integration work. With this platform, Sandlot clients can take advantage of Web-scale technology advances and prepare their organizations to deal with copious amounts of data, regardless of the formation and structure of that data. To accelerate development of this platform, Sandlot selected Hortonworks® (NASDAQ: HDP) and the Hortonworks Data Platform (HDP™) as a base on which to build the platform. HDP is a modern data management platform with the centralized enterprise services required for running advanced analytics and data processing applications simultaneously across shared datasets.

“Sandlot is driving innovative work with data analytics in healthcare,” said Herb Cunitz, President, Hortonworks. “The company realized the value of our HDP, the market’s only 100 percent open source and enterprise grade Hadoop distribution, and how they could easily build their applications on top of our platform. We look forward to helping them continue to break new ground and accelerate their SaaS business to a wide range of healthcare customers.”

While this platform offering is available now to all market segments of the healthcare community that Sandlot serves, the initial rollout is focused on hospital associations, large metropolitan area healthcare cooperatives and state-wide community health management organizations.

Sandlot Solutions will exhibit at HIMSS15 in Chicago from April 12-16, Booth #2641. Attendees are invited to visit the booth to learn more about Sandlot’s big data analytics platform and the company’s full suite of integrated solutions.

About Sandlot Solutions

Sandlot Solutions, founded in 2006, is a leading provider of clinical interoperability and community health management solutions focused on: the exchange of clinical and claims data across the care community, population data analytics and enhanced care coordination. Sandlot provides the tools and technology that enable healthcare organizations to improve the quality of care, understand and manage risk, reduce costs and transition to new business models. The software-as-a-service, cloud model with configurable technology streamlines data sharing and provides physicians with actionable patient information and analytics at the point of care. Sandlot’s technology works within physicians’ existing workflows using a proprietary, patent-pending digital envelope enabling physicians to proactively address gaps in care at the point of care. For more information, visit http://www.sandlotsolutions.com.







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Posted by jaymepobre748 March - 2 - 2015 19 COMMENTS

Kanaal van Jan: http://www.youtube.com/yaraskygaming Bedankt voor het abonneren: http://bit.ly/AbonneerTheDutchTerms Vorige video: https://www.youtube.com/watch?v=bFyObTaHWCY Wil je meer …
Video Rating: 4 / 5

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Posted by mod198 December - 2 - 2014 ADD COMMENTS


Las Vegas, NV (PRWEB) November 13, 2014

Today Omnibond Systems, LLC and the OrangeFS development community at AWS re:Invent announced the release of OrangeFS, version 2.9 with Hadoop 2.x ecosystem support, capability based security and distributed metadata for directory entries.

OrangeFS enhances Big Data computation by delivering Hadoop Compatible File System (HCFS) support for the latest versions of the Hadoop ecosystem. The OrangeFS Hadoop Client also supports accessing multiple independent OrangeFS systems. Further, existing Hadoop clusters using Hadoop Distributed File System (HDFS) may utilize other OrangeFS systems as an alternative method of distributed storage. A Hadoop user can easily specify the preferred file system. The OrangeFS Hadoop Client extends and enhances the ability to share HPC and Big Data resources and reduces the time-consuming operations of data transfers from one environment to another. Together, these two open source products can perform massive computations at multi-petabyte scale. Additionally, OrangeFS provides seamless integration with other HPC resources.

Capability-based security is a significant OrangeFS 2.9 enhancement with two new security modes. Key-based security, designed for a trusted client infrastructure, provides each OrangeFS client and server system with a cryptographic key pair. Certificate-based security utilizes user certificates and associated key pairs. OrangeFS can leverage LDAP directories to provide a consistent mapping of identities to certificates. Certificate-based security mode supports untrusted clients, so it is suited for dynamic environments. Once validated with either mode, file operations leverage signed capabilities for efficient scalable file operations.

OrangeFS stripes large data files across multiple servers to provide highly concurrent access; however, prior to version 2.9, the metadata for large directories were stored only on a single server, potentially creating a hotspot with a large number of concurrent requests. OrangeFS 2.9 includes a scalable distributed directory service to support efficient concurrent access to the progressively larger directories of the future. Scalable distributed directories make OrangeFS 2.9 an attractive option for data monitoring and real-time application monitoring which can require creation of many files under the same directory.

“This release is a major milestone in the transformation of scalable distributed file systems,” said Boyd Wilson, from Omnibond, “starting with a new security infrastructure as a foundation, distributed metadata scalability improvements and a rigorous testing cycle laying the foundation for the future generations of scalable distributed storage software.”

Omnibond will be on the floor at AWS re:Invent and SC14 and will be discussing the new OrangeFS release and other products including CloudyCluster beta, built on the capabilities of OrangeFS.

OrangeFS 2.9 can be downloaded at OrangeFS.com and OrangeFS.org, home of the software’s development community. OrangeFS.com also has information on enterprise support, development and maintenance services for OrangeFS. Information on Omnibond’s other products can be found at omnibond.com.

About OrangeFS

OrangeFS (Orange File System) is the next evolution of the open source Parallel Virtual File System (PVFS), capable of using many storage servers or cloud instances and combining their throughput capability creating a high-performance storage cluster. OrangeFS is designed for combined high-performance computing (HPC) and Big Data workloads that require high-speed access to storage for parallel computing applications. OrangeFS continues to embrace these high-end computing needs while addressing new directions in stability, resilience and diverse client access. For more information about the OrangeFS user and development communities, visit OrangeFS.com and OrangeFS.org.

About Omnibond

Omnibond is a technology development company currently focused on software engineering and support for networked identity/access management, HPC and Big Data parallel virtual file systems, and computer vision technologies. Our newest forays include commercial-grade product services for OrangeFS. For more information visit Omnibond.com.

For more information, send an email to ofs-sales(at)omnibond(dot)com or call 844-GOT-OMNI (844-468-6664) or 864-416-3827. For press inquiries, contact Amy Cannon at amycannon(at)omnibond(dot)com.

*All third-party trademarks are the property of their respective owners.







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Posted by jaymepobre748 November - 20 - 2014 ADD COMMENTS


Boulder, Colorado (PRWEB) November 12, 2014

On Friday, November 14, 2014, Revolution Analytics Vice President of Product Marketing, Bill Jacobs, will discuss how enterprises embracing the open source R language to create and deploy predictive analytics to wring business value out of burgeoning data assets.

“Behind all the Big Data hype is a fundamentally interesting new form of data that requires a fundamentally new type of analysis. To perform such analysis, analysts and data scientists have turned to some powerful new tools – including R. This is where Revolution Analytics comes in,” said BBBT Founder, Claudia Imhoff. “The company’s mission is to support the R community by improving R’s performance, developing the appropriate skills, and supporting the installation and deployment of R-based analytics within complex and diverse data architectures.”

“I always love traveling to Boulder to brief the BBBT,” said Mr. Jacobs. “The group’s deep experience in business intelligence and analytics means we get to face serious questions from some of the top BI experts and practitioners.”

A podcast summarizing the presentation will be available at the BBBT podcasts page, and a video of the presentation will be available at the BBBT videos page.

About BBBT

The Boulder Business Intelligence Brain Trust has served the BI industry since 2006. It is a consortium of over 165 industry analysts, experts, and practitioners from around the world. BBBT hosts BI industry vendors who provide extended, interactive briefings, streamed live as webinars exclusively to BBBT members. It’s a reciprocal arrangement, the members receive the latest information on current and planned BI tools and technologies, and the vendors get valuable feedback on their offerings, marketing, and messaging.

About Revolution Analytics

Revolution Analytics, with its flagship Revolution R software and services suite, is the innovative leader in Big Data enterprise analytics. Powered by the R language, the de facto standard for what Gartner describes as Advanced Analytics, Revolution R is used by enterprises with massive data, performance and multi-platform requirements to drive down the cost of Big Data. The suite includes Revolution R Open, a free, enhanced open source R distribution. Revolution R Plus adds a subscription-based technical support and indemnification package to Revolution R Open. Revolution R Enterprise delivers parallelized analytics to the heart of Big Data platforms including data warehouses and Hadoop. Revolution R Cloud is available on-demand through the AWS Marketplace.







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Posted by BlairMABEL25 September - 28 - 2014 ADD COMMENTS

R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data & Analytics Series)

R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data & Analytics Series)

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Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals
Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. La

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Posted by BlairMABEL25 September - 22 - 2012 ADD COMMENTS


Advanced Concepts Team – European Space Agency – Advanced Concepts Team @ ESA: Research News
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Posted by mod198 July - 19 - 2012 ADD COMMENTS

Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)

Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)

You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior….As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you’re in the area, you can get 10% off if you stop by in the next 20 minutes….As you drink your coffee, you receive a

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Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)

Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)

You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior….As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you’re in the area, you can get 10% off if you stop by in the next 20 minutes….As you drink your coffee, you receive a

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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Met…

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