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CAMBRIDGE, Mass. (PRWEB) December 10, 2014

Cambridge Semantics, the leading provider of smart data solutions driven by Semantic Web technology, and SPARQL City, providers of a high performance scalable Hadoop-based graph database infrastructure, today announced a collaboration to jointly offer an integrated graph analytics solutions with semantic understanding to help enterprises get better understanding and value from big data.

Cambridge Semantics offers the award-winning Anzo Smart Data Platform (Anzo SDP), leveraged by customers and partners for building interactive Smart Data solutions that help enterprises rapidly discover, understand, combine, analyze, link and manage data from diverse sources, both from within and across organizational boundaries. SPARQL City’s Hadoop-based graph analytics engine provides a simple and powerful way for people to query semi-structured and structured data and find more nuanced relationships within and across these datasets in easy-to-grasp graphical representations.

“As data continues to grow, our customers are continually seeking affordable approaches to handle the scale and speed of querying to tackle larger and more complex problems,” said Alok Prasad, president of Cambridge Semantics. “The SPARQL City team has a very successful track record in building highly scalable, performant analytic systems and that is enabling us to jointly solve new problems for our customers at big data scale.”

The combination of Cambridge Semantics’ Anzo SDP and SPARQL City’s graph analysis capabilities can benefit any business seeking insight from big data search, analysis and data management, including:

Pharma and life sciences: The joint solution allows for more agile, big data scale, business self-service applications for R&D drug discovery and investigations, competitive intelligence, clinical trial data processing, and creating various investigative and graph-based solutions. Enterprises can simply add additional nodes to handle more data as their data needs grow.
Financial services: The combined platforms can allow for more agile, enterprise-wide, business self-service for regulatory reporting, compliance and risk analytics, investigative solutions for fraud/insider trading, and mining of diverse data sources both inside and outside of the enterprise.

“Cambridge Semantics has built a compelling smart data platform that allows their customers to rapidly work with all of their data to uncover new and more meaningful insights,” said Barry Zane, president and CEO of SPARQL City. “The marriage of Anzo Smart Data Platform with our standards-based graph analytics engine will enable our customers to more quickly and easily translate untapped raw analytical potential in areas involving unstructured data and/or graph analytics into business impact at real-world scale.”

Both companies’ solutions are aligned with standards set by the World Wide Web Consortium (W3C).

About SPARQL City

SPARQL City is based in San Diego, Calif. with offices in Marlborough, Mass. SPARQL City is a provider of a Hadoop-based graph analytics engine that brings to bear the performance and ease-of-use characteristics of massively parallel analytic databases on the world of graph data. The resulting product is built around modern open standards and delivers orders of magnitude improvements in performance and scale over existing solutions while running on commodity hardware. This opens up new possibilities in the world of graph processing and big data analytics. For more information, visit us at: http://www.sparqlcity.com.

About Cambridge Semantics

Cambridge Semantics (CSI), the Smart Data Company, is an enterprise analytics and data management company. It enables customers and partners to rapidly build interactive, real-time smart data solutions based on its Anzo Smart Data Platform (Anzo SDP).

IT departments and business users gain better understanding and data value through the semantic linking, analysis and management of diverse data whether internal or external, structured or unstructured. The Anzo SDP smart data solutions are delivered with increased speed, at big data scale and at the fraction of the implementation costs of using traditional approaches.

The company is privately held and based in Boston, Massachusetts.

For more information visit http://www.cambridgesemantics.com or follow us on Facebook, LinkedIn and Twitter: @CamSemantics.

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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.

London, UK (PRWEB UK) 14 March 2012

Page Metrics announces a new SEO application to boost search engine visibility for small businesses

A London based technology company they have released an easy to use SEO tool for small and medium businesses to accelerate their performance in search engine results.

This automated web analysis application solves 4 universal challenges facing many small business websites. What are the important SEO elements to check? How do I check all of these across every page of my site? How do I prioritise them? Whats the best way to put them right?

Using a proven model to test a website for SEO performance, automated site crawling and analysis that can check thousands of pages, a prioritised task list and unbiased hints and tips to fix problems found Page Metrics solves all 4.

By taking the best of new technology Page Metrics has created a scalable, reliable and fast solution. Using Amazon EC2 and noSQL database CouchDB Page Metrics allows small businesses to leverage big data technology to solve practical business challenges.

The dashboard is simple, easy to use and quick. Giving a score for key site elements and identifying where potential roadblocks to success are. Page Metrics quickly identifies duplicate title tags, pages with little relevant content, missing image alternate tags and so much more.

The analysis doesnt stop at on-page factors; Page Metrics collects data on site authority and links, identifying pages with little or no external authority, a major factor in ranking.

Social media isnt forgotten, with details of how many times a site has been shared on all of the major social media sites.

If this wasnt clever enough the Page Metrics team have gone a step further and prioritised all of the findings into 4 categories; quick wins, long plays, the extra mile and social rank. Making it really simple for website owners to see where they should start and what to focus on. All of this information is also available to download as a spreadsheet.

Page Metrics doesnt stop there, with useful tips and signposts to trusted information on how to put each element right, including videos built into the dashboard to ensure you can quickly see why something is important and how to put it right.

You can then track your changes over time comparing against previous site crawls.

As search engines provide the majority of traffic it just makes sense that small businesses should make the most of big data technology and automation to find that competitive edge.

To find out more about the Page Metrics SEO software visit http://page-metrics.com

About Page Metrics.

Page Metrics is a brand of E2 SEO Technology Ltd, based in East London’s Silicon Roundabout and a pioneer in utilizing big data technology to solve SEO challenges at an affordable cost. Founded by an SEO veteran who has years of experience working with some of the worlds biggest brands.

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