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Environmental Software Systems. Infrastructures, Services and Applications: 11th IFIP WG 5.11 International Symposium, ISESS 2015, Melbourne, VIC, … in Information and Communication Technology)

This book constitutes the refereed proceedings of the 11th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2015, held in Melbourne, Australia, in March 2015. The 62 revised full papers presented were carefully reviewed and selected from 104 submissions. The papers are organized in the following topical sections: information systems, information modeling and semantics; decision support tools and systems; modelling and simulation systems; architectures, infrastructure

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Intelligent Distributed Computing (Advances in Intelligent Systems and Computing)

This book contains a selection of refereed and revised papers of the Intelligent Distributed Computing Track originally presented at the third International Symposium on Intelligent Informatics (ISI-2014), September 24-27, 2014, Delhi, India. The papers selected for this Track cover several Distributed Computing and related topics including Peer-to-Peer Networks, Cloud Computing, Mobile Clouds, Wireless Sensor Networks, and their applications.

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New York, NY (PRWEB) March 31, 2015

Selecting and implementing an enterprise resource planning system represents a major investment in capital, time, and attention. The success of an implementation depends on a host of factors, from the suitability of the software chosen to the effectiveness of consulting assistance.

To help CFOs avoid costly mistakes and ensure a successful ERP implementation, CFO surveyed 160 senior finance executives to seek out best practices and key learnings for effective vendor evaluation, vendor engagement, and system implementation.

“CFO research has consistently shown that one of the biggest obstacles to gaining the most value from an investment in ERP is, ironically, business growth,” says Chris Schmidt, Director of Research at CFO. “Rapidly growing companies are often attempting complex planning tasks using hybrids of legacy systems, off-the shelf systems, extensions, bolt-ons, and point solutions. The purpose of this survey was to ask CFOs to provide critical advice and counsel to peers who are considering, or implementing, an ERP solution.”

To read the complete special report “ERP: Lessons from the Field” go to: http://ww2.cfo.com/erp/2015/03/erp-lessons-field/

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CFO Publishing and its Innovation Enterprise brand are the leading global voice in enterprise information and innovation providing access to cutting edge thought leadership content across 7 distinct channels including Finance, Big Data, Analytics, Strategy, Innovation, Digital, & Operations. We specialize in serving the information needs of the senior finance and business executive with focused and award-winning content targeted to the Chief Financial Officer, Chief Data Officer, Chief Strategy Officer, Chief Innovation Officer, Chief Digital Officer & Chief Technology Officer. In addition to content channels, our products and services include live conferences & summits, on-demand video content, webcasts, white papers, lead generation services, custom events and custom research. Whether it’s delivered online or in person, everything we produce reflects the company’s unshakeable belief in the power of information to spur innovation within and across the communities we serve.

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MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems

Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using.Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also

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MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems

• Used Book in Good Condition

Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using.Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also

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Amazon Elastic MapReduce Developer Guide

This is official Amazon Web Services (AWS) documentation for Amazon Elastic MapReduce (Amazon EMR).
This guide provides a conceptual overview of Amazon EMR, an overview of how related AWS products work with Amazon EMR, and detailed information on Amazon EMR functionality.
Amazon EMR is a data analysis tool that simplifies the set-up and management of a computer cluster, the source data, and the computational tools that help you implement sophisticated data processing jobs quickly.

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McLean, VA (PRWEB) November 12, 2014

MetiStream, a leader in implementing highly scalable real-time analytic and streaming solutions using innovative open source technologies, announced today that it has become a Spark Certified Systems Integrator and Certified Spark Trainer by Databricks, the company founded by the team that created and continues to drive Apache Spark, the most active open source project in the Big Data ecosystem.

MetiStream realized early on the potential of what Apache Spark could do to simplify Big Data implementations and has aligned its capabilities around Spark through its Spark 30-day Quick Start and Resilient Stream framework which leverages the Spark platform. Spark — with its integrated platform to support both batch and real-time processing — was a natural fit for MetiStream’s services offerings and technology frameworks. Investing in Spark allows MetiStream to ultimately share new innovative capabilities, speed deployment and lower cost of Big Data implementations to its end customers.

Beyond these certifications, MetiStream has also invested heavily in increasing community awareness of Spark through the Washington DC Area Apache Spark Interactive Meetup which they founded in May of this year and now has over 500 active members. Last week, MetiStream convened the first Spark Bake-off in DC to recognize some of the best Spark experts in the area.

“We are committed to continuing to grow and cultivate the capabilities and innovation around Spark locally, nationally, and within the Open Source community,” MetiStream’s CEO, Chiny Driscoll stated. “Databricks has been a great partner to team with and we are excited to work with them to expand the Spark community and most importantly help customers realize all the value that Spark has to offer”.

“The continued growth in adoption and deployment in production of Apache Spark by enterprises requires consulting services with certified expertise,” said John Tripier, Alliances and Ecosystem Lead at Databricks. “The ‘Certified on Spark’ Program ensures that certified systems integrators have the right level of expertise and experience to deliver Spark solutions. We are excited to collaborate with MetiStream and to see Enterprises benefit from their expertise in fast starting Spark projects and developing large scale streaming solutions.”

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About MetiStream

MetiStream offers solutions and expertise in implementing highly scalable real-time analytic and streaming solutions using innovative open source technologies. Located in the Washington DC area, the company is a woman and minority owned Big Data technology solutions provider. MetiStream’s mission is to help customers shorten the Time-to-Value issues seen in legacy and batch environments. A differentiator for MetiStream is their focus on implementing Big Data solutions using Open Source based technologies. For more information, visit http://www.metistream.com.

About Databricks

Databricks was founded by the creators of Apache Spark, who have been working for the past six years on cutting-edge systems to analyze and process Big Data. They believe that Big Data is a tremendous opportunity that is still largely untapped, and are actively working to revolutionize what enterprises can do with it. Databricks is venture-backed by Andreessen Horowitz. For more information, visit http://www.databricks.com.