Big Data


Data explosion has brought new business opportunities. Along came the challenge to effectively store, analyze and derive insights from this vast data. Big Data open source solutions emerged as major disruptor in the traditional enterprise storage and analytical market.

Big Data allows enterprises to create a “Data Lake” using information gathered from all sources including structured, unstructured form, internal and external sources. It then allows users to do mashing, slice n dice and data mining without the need of heavy computing.

We offer a host of services in and around the Big Data ecosystem to help customers embrace this new technology and reap the benefits of predictive analytics at a fractional cost as compared to the enterprise class equivalent solutions available in the market.

Our service offerings are segregated into two distinct tracks viz. Business Consulting and Technology

Business Consulting

  • We help with forming a Big Data strategy after identifying the scope and benefits. Thereafter our team of data scientists help to identify and customize the analytics engine that crunches the gathered information from varied sources and throws out “predictions”.
  • We also create and maintain data models customized for meeting needs of typical industry verticals that our clients can leverage for reaping benefits from established research.

Technology Consulting

  • Infrastructure Management Services : We entirely take the effort of creating and maintaining your Big Data Platform (both on premise and cloud based) while you focus on the core business function
  • Help clients with platform selection, implementation, integration and cluster maintenance activities
  • Help clients with Application development and maintenance for setting up  and enhancing federated source data induction, processing and transporting to semantic layer of the Enterprise Data Warehouse where it can be mashed up with traditional Relational Data to derive or predict future course of business

Case Study 1

Migrating massive data into Hadoop and building a consolidated reporting layer


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