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Nice article Maria. Cloud computing is driving a new wave of innovation in the area of big data. The open source solution from HPCC Systems provides a single platform that is easy to install, manage and code. Designed by data scientists, HPCC Systems is a data intensive supercomputer that has evolved for more than a decade, with enterprise customers who need to process large volumes of data in a 24/7 environment. Its Thor Data Refinery Cluster, which is responsible for ingesting vast amounts of data, transforming, linking and indexing that data, and its Roxie Data Delivery Cluster are now offered on the Amazon Web Services (AWS) platform. Taking advantage of HPCC Systems in the cloud provides a powerful combination designed to make Big Data Analytics computing easier for developers and can be launched and configured with the click of a button through their Instant Cloud solution. More at http://hpccsystems.com
Maria, nice article on Big Data. Designed by data scientists, HPCC Systems is an open source data-intensive supercomputing platform to process and solve Big Data analytical problems. It is a mature platform and provides for a data delivery engine together with a data transformation and linking system. The real-time delivery of data queries of the Roxie component is a big advantage for marketers needing to take action from data insights. More info at http://hpccsystems.com.
Maria, great insight! It is worth mentioning the HPCC Systems open source offering which provides a single platform that is easy to install, manage and code. Their built-in analytics libraries for Machine Learning and integration tools with Pentaho for great BI capabilities make it easy for users to analyze Big Data. Their free online training courses allow for students, academia and other developers to quickly get started. For more info visit: hpccsystems.com
Very good article Matt. With the explosion of big data, companies are faced with data challenges in three different areas. First, you know the type of results you want from your data but it’s computationally difficult to obtain. Second, you know the questions to ask but struggle with the answers and need to do data mining to help find those answers. And third is in the area of data exploration where you need to reveal the unknowns and look through the data for patterns and hidden relationships. The open source HPCC Systems big data processing platform can help companies with these challenges by deriving insights from massive data sets quick and simple. Designed by data scientists, it is a complete integrated solution from data ingestion and data processing to data delivery. In fact, they are participating in Big Data Week Atlanta presenting in a number of sessions: http://bigdataweek.com/2013/03/23/innovative-approaches-to-big-data-analytics/
Good insight Maria. It is worth mentioning the HPCC Systems open source offering which provides a single platform that is easy to install, manage and code too. Their built-in analytics libraries for Machine Learning and integration tools with Pentaho for great BI capabilities make it easy for users who do not hold a PhD degree or carry a title like "Data Scientist" to easily analyze Big Data. I believe HPCC is better than Hadoop and commercial offerings, it has a real-time data analytics and delivery engine (Roxie) and runs on the Amazon cloud like a charm through the Instant Cloud portal. For more info visit: hpccsystems.com
Hi Mike, at LexisNexis Risk Solutions we are actively engaged in using the open source HPCC Systems data intensive compute platform along with the massive LexisNexis Public Data Social Graph to tackle everything from fraud waste and abuse, drug seeking behavior, provider collusion to disease management and community healthcare interventions. We have invested in analytics that help map the social context of events through trusted relationships to create better understanding of the big picture that surrounds each healthcare event, patient, provider, business, assets and more. For an interesting case study visit: http://hpccsystems.com/Why-HPCC/case-studies/health-care-fraud
Informative article Molly. One other open source technology to look at is HPCC Systems from LexisNexis, a data-intensive supercomputing platform for processing and solving big data analytical problems. Their open source Machine Learning Library and Matrix processing algorithms assist data scientists and developers with business intelligence and predictive analytics. Its integration with Hadoop, R and Pentaho extends further capabilities providing a complete solution for data ingestion, processing and delivery. In fact, executing HPCC Systems commands within R helps ease the burden of memory limitations with just R alone. More at http://hpccsystems.com
Peter, good article. Cloud computing is driving a new wave of innovation in the area of big data. Designed by data scientists, the open source solution from HPCC Systems is a data intensive supercomputer that has evolved for more than a decade, with enterprise customers who need to process large volumes of data in a 24/7 environment. Its Thor Data Refinery Cluster, which is responsible for ingesting vast amounts of data, transforming, linking and indexing that data, and its Roxie Data Delivery Cluster are now offered on the Amazon Web Services (AWS) platform. Taking advantage of HPCC Systems in the cloud provides a powerful combination designed to make Big Data Analytics computing easier for developers and can be launched and configured with the click of a button through their Instant Cloud solution. More at http://hpccsystems.com
Walter nice concept of Big Data. Cloud computing is driving a new wave of innovation in the area of big data. The open source solution from HPCC Systems provides a single platform that is easy to install, manage and code. Designed by data scientists, HPCC Systems is a data intensive supercomputer that has evolved for more than a decade, with enterprise customers who need to process large volumes of data in a 24/7 environment. Its Thor Data Refinery Cluster, which is responsible for ingesting vast amounts of data, transforming, linking and indexing that data, and its Roxie Data Delivery Cluster are now offered on the Amazon Web Services (AWS) platform. Taking advantage of HPCC Systems in the cloud provides a powerful combination designed to make Big Data Analytics computing easier for developers and can be launched and configured with the click of a button through their Instant Cloud solution.
Jim nice article on Big Data. Designed by data scientists, HPCC Systems is an open source data-intensive supercomputing platform to process and solve Big Data analytical problems. It is a mature platform and provides for a data delivery engine together with a data transformation and linking system. The real-time delivery of data queries of the Roxie component is a big advantage for marketers needing to take action from data insights.More info at http://hpccsystems.com.
Gil, great list of sites. There are some others HPCC Systems has shared including publicly available data sources for users to play with and leverage in their own applications as well as data descriptors and simple example programs: http://hpccsystems.com/community/contributions/Public-Data-Sources
Tavis, I agree cloud computing is driving a new wave of innovation in the area of big data. As an alternative to Hadoop, the open source solution from HPCC Systems provides a single platform that is easy to install, manage and code. Designed by data scientists, HPCC Systems is a data intensive supercomputer that has evolved for more than a decade, with enterprise customers who need to process large volumes of data in a 24/7 environment. Its Thor Data Refinery Cluster, which is responsible for ingesting vast amounts of data, transforming, linking and indexing that data, is now offered on the Amazon Web Services (AWS) platform. Taking advantage of the HPCC Systems Thor Data Refinery Cluster in the cloud provides a powerful combination designed to make Big Data Analytics computing easier for developers and can be launched and configured with the click of a button through their One-Click solution. More at http://hpccsystems.com
Mike, I think it is worth mentioning HPCC Systems from LexisNexis Risk Solutions as an efficient tool for helping big businesses overcome these big challenges you mention here. Their built-in analytics libraries for Machine Learning and BI integration provide a complete end to end solution for ETL, Data Mining and Reporting. the HPCC Systems platform designed by data scientists comprises a single architecture, a consistent data-centric programming language (ECL), and two processing clusters: the Thor Data Refinery Cluster and the Roxie Rapid Data Delivery Cluster providing for real-time data analysis and delivery. Both the Thor and the Roxie clusters use commodity servers and local storage and use commodity networking and run on standard Linux distributions. For more info visit: hpccsystems.com
Hamish, One superior alternative to Hadoop worth mentioning that is perfect for helping companies gain insight into their big data is HPCC Systems – a mature platform with its main differentiator being the powerful ECL language programming model. ECL is the native language behind the Thor and Roxie components which provide for data transformation “chewing” and linking with real-time delivery of data queries. Their built-in analytics libraries for Machine Learning and integration tools with Pentaho for great BI capabilities make it easy for companies to analyze their big data and take action on real-time insights. An advantage over Hadoop is it requires less nodes and fewer programmers. View more at hpccsystems.com
Alex, good article. For those companies looking into big data engineers, it’s worth mentioning HPCC Systems - designed by data scientists - is a data intensive supercomputing platform to process and solve Big Data analytical problems. It is a mature platform and provides for a data delivery engine together with a data transformation and linking system. The main advantages over other alternatives are the real-time delivery of data queries and the extremely powerful ECL language programming model. More info at http://hpccsystems.com
Alex, I have tried the HPCC Systems platform and I believe it is best for tackling Big Data problems. Unlike Hadoop distributions, HPCC is a mature platform and provides for a data delivery engine together with a data transformation and linking system equivalent to Hadoop. The main advantages over other alternatives are the real-time delivery of data queries and the extremely powerful ECL language programming model.More at: http://hpccsystems.com