BIG DATA ANALYTICS PLATFORM FOR AN INDIAN BANK Next Case Study

Client Organization:

India's 3rd largest private bank, Mumbai

Project Owner:

CIO & Head Of Analytics

The Problem:

The Analytics team throughout the organization has been using SAS with Oracle Operational Data Store on proprietary storage boxes. With 70TB of data, the system has gotten slow and highly expensive. Further, there is no support for unstructured data.

The Solution:

Quadratyx architected and is implementing a complete open source analytics work bench on a Hadoop commodity cluster, with zero compromises in performance, data security and governance.

Tools & Technologies:

The complete HortonworksHadoop Stack - HDFS, YARN, Map Reduce 2, Hive, PIG, Apache Spark, Apache Kafka, Apache Storm, Apache Drill, SparkML, Ambari, MongoDB, Apache Knox, Apache Falcon, R, Knime, 3rd party connectors, etc.