Contexti Selected to Support Intel Data Platform for Big Data Analytics Services

Feb. 25 — Contexti, a premier Big Data Analytics Consulting, Training and Managed Services company has today announced a collaboration with Intel Corporation, providing support for Intel Data Platform for enterprise customers in Australia and South East Asia.

Contexti has a track record of providing big data consultancy services for major companies within Asia Pacific in banking, telecommunications, retail and government segments.

“Contexti’s expertise and capability in big data analytics, as well as its knowledge of the local market, helps us deliver more value to our customers by giving them the tools to extract meaning from the vast amounts of data being generated, collected and stored every day,” said David Mellers, Enterprise Solutions Group Manager, Intel Australia and New Zealand.

The Intel Data Platform features key benefits for enterprise customers including:

• Security. Intel delivers encryption and decryption at the processor level on its Intel Xeon processor-based hardware with little noticeable slowdown.
• Performance. The Intel Active Tuner for Apache Hadoop software automatically optimizes cluster performance on-the-fly; and
• Intel Manager for Apache Hadoop software. This software provides the tools to assist users to get the answers necessary for optimum decision making.

“As the world realises the potential of big data and the Internet of Things, and organisations focus on better tailoring products and services for customers, we’re excited to be offering Intel’s solutions to enable quick and accurate analysis and decision making, ” said Sidney Minassian, Founder & CEO of Contexti.

“Intel is a stand-out brand when it comes to managing data in the enterprise and the Intel Data Platform brings with it security, performance, and trust on an open and scalable platform.”

Contexti will complement Intel’s Distribution with a number of services including:

• Big Data Maturity Assessments and Workshops;
• Big Data Platform Architecture Reviews and Recommendations;
• Big Data Platform Implementations (Pilot, Scale and Optimise); and
• Big Data Managed Services