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Mellanox Technologies Ltd – Mellanox Connect-Ib Infiniband Host Bus Adapter – 1 X – Pci Express 3.0 X8 – 56 Gbps “Product Category: San Devices/Host Bus Adapters”

• SAN Devices
• Host Bus Adapters

Mellanox Connect-IB Infiniband Host Bus Adapter

Mellanox Connect-IB Infiniband Host Bus Adapter – 1 x – PCI Express 3.0 x8 – 56 Gbps

CONNECT-IB TM HOST CHANNEL ADAPTER SINGLE-PORT QSFP FDR 56GB/S

Marketing Information: Connect-IB adapter cards provide the highest performing and most scalable interconnect solution for server and storage systems. High-Performance Computing, Web 2.0, Cloud, Big Data, Financial Services, Virtualized Data Centers and Storage applications

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Modeling and Processing for Next-Generation Big-Data Technologies: With Applications and Case Studies (Modeling and Optimization in Science and Technologies)

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future ag

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Herndon, VA (PRWEB) December 02, 2014

Search Technologies, the leading IT services firm specializing in the design and implementation of enterprise search and search-enabled big data applications, has announced that version 2.1 of their Aspire content processing platform has recently been certified on Cloudera Enterprise 5. Cloudera provides a data management platform based on Apache Hadoop that helps organizations become information-driven by leveraging the best of the open source community with the enterprise capabilities.

Search Technologies’ Aspire is an innovative and powerful content processing framework specifically designed for unstructured data. Now a Cloudera Certified Technology, it ensures that clean, enriched, normalized content is ingested by Cloudera CDH, to further improve search relevancy, navigation and/or Big Data analytics.

“This partnership brings together a combination of technology, and expert implementation services. Search Technologies brings expertise in making sense of the 80% of the world’s data that is unstructured,” said Kamran Khan, CEO of Search Technologies. “Much of the current Big Data buzz is about extracting nuggets of useful insight from unstructured information. That’s our specialty,” he added.

Aspire is used within dozens of government and corporate search implementations, addressing a wide range of applications. It is complemented by a number of data connectors for a growing range of content management systems, business social platforms, and databases.

“Search Technologies’ recent certification of Aspire provides our customers with a powerful framework for processing unstructured data which helps organizations ensure the greatest value from their Big Data investments and improve the efficiency of downstream analytics solutions.” Said Tim Stevens, vice president, Corporate and Business Development at Cloudera.

About Search Technologies

Search Technologies is an IT services firm specializing in the design, implementation, and management of enterprise search and search-enabled big data applications. We make it our business to ensure that our customers achieve the desired business insight and impact from their information retrieval and analysis initiatives. To learn more, visit http://www.searchtechnologies.com.

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Big Data Analytics: Disruptive Technologies for Changing the Game

Bringing a practitioner’s view to big data analytics, this work examines the drivers behind big data, postulates a set of use cases, identifies sets of solution components, and recommends various implementation approaches. This work also addresses and thoroughly answers key questions on this emerging topic, including What is big data and how is it being used? How can strategic plans for big data analytics be generated? and How does big data change analytics architecture? The author, who has mo

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O’Reilly’s belief that facility in managing and analyzing large amounts of data distinguishes market leading companies, led to a recent report designed to help users understand the different large-scale data management techniques (see r2.oreilly.com (Issue 2.0.11, February, 2009) ). Ben Lorica recently sat down with his co-author, Roger Magoulas (Director of Research at O’Reilly), who agreed talk about the report and Big Data in general. Roger highlights what they found to be the key technology dimensions for evaluating data management solutions. The video ends with a glimpse into future technologies and general advice to organizations interested in improving their proficiency in handling data.