Big Data

The volume of data has grown dramatically with the advent of digital devices and technologies, while the cost of computing and storage has dropped, and algorithms have become readily available. With the right approach to Data Engineering, organizations can monetize and maximize the value of their data assets by creating a strong foundation of data and incorporate insights from data science into their daily business processes. However, organizations must confront some key issues if they want to truly exploit these opportunities and transform themselves into data and analytically driven organizations.

Technologies, Tools & Frameworks


RDBMS - MySQL, Progress, Oracle

NoSQL - MongoDB, ElasticSearch

Big Data technologies - HDFC, Spark 2

Technologies- AWS, Azure

Reference Case Study