DFHeinz

DFHeinz BigData consulting and integration solutions. Certified Hortonworks training partner. MapReduce, Hadoop, all Apache projects training provider.

DFHeinz offers a broad range of BigData, text analytic and ontological engineering consulting and training as well as having the ability to deliver the complete course ware curriculum of our training partner, Hortonworks. Our clients are global organizations confronted with the technical challenge of integrating existing, functional data systems with new, highly-extensible technologies such as tho

se from the Apache Software Foundation via the HDP (Hadoop, Kafka, Zeppelin, etc.), the Berkeley Data Analytics Stack (BDAS) and the Pivotal portfolio (Spring Integration, Spring Batch, SpringXD and GemFire/GemFireXD). Our goal is to provide our clients with declaratively extensible topologies of state-of-the-art data services. These topologies are integrated with existing legacy services in a manner that is non-invasive to the current technology stack and, equally important, non-invasive to the processes and culture of the data analysts and business intelligence experts of the organization. With our experienced integration architects and consultants, DFHeinz provides clients with technology assessments and production-ready implementations that create unified data architectures spanning SQL, noSQL, EDW and distributed, grid-based data sources. Via various vehicles (on-site ILT, virtual ILT or recorded sessions), we provide knowledge transfer and training. Our instructors are active consultants who bring their field-tested intuition and subject matter expertise to the virtual or physical classroom. DFHeinz has offices in FL, GA, IL and MD in the United States, Mexico and China. With our world-wide capabilities we can scale to meet all of our client's data infrastructure, consulting and training needs.

07/27/2016

Data Digest - Data | Innovation | Analytics

Interesting read for those working with Hive.
07/25/2016

Interesting read for those working with Hive.

Apache Hive 2.1 was released about a month ago and it’s a great opportunity to review how Hive 2 is drastically changing the landscape for SQL on Hadoop. T

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