Tamr Sparks Boosts Compatibility with Apache Spark and Partners with DataPRM
FREMONT, CA: Big data analytics company, Tamr has announced compatibility with Apache Spark, an open source cluster computing framework. The firm currently works with clients such as GE, Toyota Motors Europe, GlaxoSmithKline and others aiming to generate unified data for making better decisions. Spark’s in-memory architecture eases the scalable machine learning process and promotes Tamr’s machine based approach for effectively preparing enterprise data. The firm also dessiminates the collaboration with DataRPM, a cognitive data science company. The alliance helps DataRPM to automate data science and machine learning from ingestion to insights.
“We are thrilled to add DataRPM to our list of strategic partners. Together we are working with some of the largest corporations in the world to help them view data volume and data variety not as obstacles, but as a strategic advantage and differentiator,” says Nidhi Aggarwal, Head of Product and Strategy, Tamr.
Apache Spark is a fast and general engine used for large scale data processing. Tamr effectively utilizes the product compatibility of Spark by developing core components and open interfaces to support the data curation solutions. The toolset will pave a path towards a scalable application development scenario for verticals such as life sciences, customer data integration, procurement and many more.
Based in Cambridge, Massachusetts, Tamr offers innovative solutions in areas such as Clinical Data Conversion (CDISC), Media Analytics and many others. Tamr is deployed in the production process at various companies which includes pharmaceutical firms, information services providers and retailers.
“Our customers are typically operating with hundreds of data sources and have dozens of consumers for that data. Adding Spark compatibility to Tamr ensures that we can continue to scale with our customers, differentiating us from data preparation tools designed for individual users working with a handful of data sources,” adds Aggarwal.
By Linda H. Butler, VP of Medical Affairs/CMO/CMIO, Rex...
By Laura Cruz, Global CIO, MDC Partners
By Greg Morrison, SVP & CIO, Cox Enterprises
By Lowell Gilvin, Chief Process Officer, Jabil
By Joe LaFeir, SVP, IS&S (Information Systems & Solutions),...
By Gerri Martin-Flickinger, CIO, Adobe Systems
By Aaron Weis, VP & CIO, Axalta Coating Systems
By Levon Hooks, CIO-Global Corporate Solutions, JLL
By Steve Bein, VP-GIS, Michael Baker International
By Sam Schoelen, Chief Information Technology Officer,...
By Georgios Kyriakopoulos, VP of Equity Research, SunTrust...
By David Sliter, VP & GM of Communications, Media &...
By Julie Stafford, SVP Strategic Consulting, Tangoe
By Dan Adam, CIO, Extreme Networks
By Scott Craig, Vice President of Product Marketing, Lexmark...
By Aaron Gette, CIO, The Bay Club Company
By Dr. Volker G. Hildebrand, Global VP, SAP Hybris
By Meerah Rajavel, CIO, Forcepoint
By Philip Loftus, SVP IT & CIO, SSM Health
By Christy Hartner, SVP, Commerce Bank