BIG DATA ENGINEERING

With Big Data that is derived from equipment sensors, weblogs, social media, etc the need for analysts is to mine this data in correlation with transactional corporate data in a timely and cost-effective way is pertinent for any organization’s success. While we notice unprecedented growth in Big Data, organizations transactional data and its use is growing equally faster where the real value is measured and realized. The challenge is to build infrastructure and systems that are flexible and dependable to handle the high variety of data in real time.

Triquetros’ data engineer with their vast experience in both symmetric multiprocessing and massively parallel processing data systems like SAP HANA, Teradata, Aster, and Hadoop provide unbiased tailored solutions through system configuration, data modeling and data definitions for both structured and unstructured data access.

Triquetro consultants using our defined framework help organizations choose the right database platform – comparing features to organization’s business and performance objectives, proof-of-concept evaluations, true TCO, TPC benchmarking and vendor selection. An unbiased platform selection is critical for any organization for architectural fit, reliability, and scalability for all business applications and processes growth needs.

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