Complementing the traditional data warehouse with Hadoop framework to provide on-time network performance metrics at a lower cost
Complementing the traditional data warehouse with Hadoop framework to provide on-time network performance metrics at a lower cost
4 PagesThe Client Business Challenge Complementing the traditional data warehouse with Hadoop framework to provide on-time network performance metrics at a lower cost The client is a telecommunications service provider and the fourth-largest wireless network operator in the US serving around 60 million customers. The introduction of 4G LTE technology brought about a massive increase in data volumes. As a direct result, data warehouse size was predicted to grow from 250 TB to 350 TB in a year. Exploring additional data collection avenues presents opportunities to grow, as well as new challenges to conquer. The addition of over 3 million users, combined with the unprecedented growth of data volume, led to a performance issue in the data warehouse, causing a potential breach of the SLA. In
