News & Events

Datastax - Apache Cassandra (Part 2)

Published on April 30, 2020

As more customers adopt digital channels over traditional bricks and mortar stores and call center channels, there is a need to handle the traffic volume fluctuation, and ability to scale dynamically in a cost efficient way.

Datastax - Apache Cassandra (Part 2)

This is a common challenge faced accros the industry. Verizon solved this challenge for its wireless OSS/BSS stack using DSE Cassandra and Spark. DSE enabled Verizon to transform its OSS/BSS platform from legacy mainframe-based monolithic stack to a highly scalable cloud -enabked stack.

This new platform enables better customer experience through high availability and scalability. Verizon was the only major wireless provider that was able to handle the apple Iphone preorder volume spike, and was available to take customer order at 3 a.m ET when the floodgates were opened. DSE migration addresses the economic scalability and low latency needs of 5G and IoT. In addition to the enhanced customer experience, the DSE migration eliminated 90% of operation cost.

Migration of large scale application presents unique challenges that are not encountered in green field development. This presentation focuses on the challenges faced in adopting Cassandra for transactional data that is migrated from traditional RDBMS / mainframe. The presentation will cover details on the data model, data ingestion and data recontiliation techniques that enables digitals transformation.

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