Franz Inc.'s AllegroGraph 6 to be Available on Cloudera Certified Technology Program
OAKLAND, CA: In an announcement made by Franz Inc., it was publicized that AllegroGraph 6, would now be available with certification on the latest release of Cloudera Enterprise through the Cloudera Certified Technology Program (CCPT) reports PRWeb. AllegroGraph 6 is the leading Semantic Graph Database developed by Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology. AllegroGraph is the first Semantic Graph Database to be certified on Cloudera Enterprise.
Highly complex big data integration will be eased by the combination of Cloudera Enterprise and AllegroGraph. These integrations generally include large public datasets. Easing these integrations would enable real-time analytics across distributed data, and also leverage the world’s highest performance and most cost effective storage. "As the availability of large public datasets continues to rise, many organizations are looking to leverage these datasets to enrich enterprise analytics. A semantic graph approach to data sets provides a viable method to gleaning additional insights from data,” said Tim Stevens, vice president of Business and Corporate Development, Cloudera.
Collaboration between Montefiore Health System, Franz, Cloudera, Cisco and Intel named as “Semantic Data Lake for Healthcare” would also get a big boost by the powerful combination of AllegroGraph and Cloudera. This collaboration aims at providing a scalable and extensible Big Data Analytic platform for Healthcare. The combination of AllegroGraph and Cloudera would merge unstructured data with structured data to fuel real-time analysis, predictive analytics and deep learning. With the Semantic flexibility of AllegroGraph, integrating databases is virtually effortless, since the data can remain in its original databases and database designers do not have to create a schema up front. This capability is particularly valuable if organizations want to tap into the growing number of public datasets to enrich their analytics. "The Semantic Data Lake for Healthcare will help us to connect the dots to better understand the determinants of outcome, cost, and patient satisfaction in a complex ecosystem in which patients and clinicians interact with each other, with the delivery of care system, and with the research enterprise,” said Dr. Parsa Mirhaji MD. PhD., Director of Clinical Research Informatics, Einstein College of Medicine and Montefiore Health System.
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