Syncsort Optimizes Data Processing and Scalability with Hadoop Developer Training

For over 40 years, Syncsort has been a leader in high-performance sort solutions for mainframe, Unix, Windows and Linux. After decades of experience processing “big data” volumes on the mainframe, they recently entered the Hadoop space with a contribution to the Apache open source community that allows Hadoop users to tackle a broader set of use cases and enables Syncsort to deliver a unique architecture to execute extract, transform, load (ETL) processes in Hadoop.

Date: Tuesday, Apr 02 2013

Description

Based on Cloudera’s established presence as a premier source for Hadoop expertise, the Syncsort team decided to invest in the Cloudera Developer Training for Apache Hadoop private course. According to Nahmias, “It was a no-brainer.” By investing in a dedicated class, they were able to freely share information and ask questions specific to their use case, resulting in a high level of engagement throughout the course.

Impact: Delivering Greater Value to Customers

Since completing Cloudera training, Syncsort delivers greater value to partners and customers by more intelligently communicating with them about Hadoop, its benefits and functionalities. Better integration of data stored at increasing volume and with greater regularity in HDFS with the data in mainframes and open systems is a source of significant benefit to Syncsort’s customers.

The team better understands how to leverage Hadoop’s architecture with their DMX-h software to help customers extend their usage of Hadoop. Syncsort is also driving accelerated Hadoop acceptance by providing well architected big data ETL and intra-platform data movement solutions.

“Armed with the proper level of product knowledge, I can give partners and customers a guided tour through the menagerie of animal names associated with the Hadoop environment, helping them to better understand the solution components and architect successful solutions,” explained Nahmias. “Ultimately, it helps me to better evangelize the benefits of big data solutions.”