Nokia Case Study: Using Big Data to Bridge the Virtual and Physical Worlds
CASE STUDY Nokia: Using Big Data to Bridge the Virtual & Physical Worlds
Company Overview
Nokia has been in business for more than 150 years, starting with the production of paper in the 1800s and evolving into a leader in mobile and location services that connects more than 1.3 billion people today. Nokia has always transformed resources into useful products – from rubber and paper, to electronics and mobile devices – and today’s resource is data.
Nokia’s goal is to bring the world to the third phase of mobility: leveraging digital data to make it easier to navigate the physical world. To achieve this goal, Nokia needed to find a technology solution that would support the collection, storage and analysis of virtually unlimited data types and volumes.
Industry
Telecommunications
Use Case
Effective collection and use of data has become central to Nokia’s ability to understand and improve users’ experiences with their phones and other location products. “Nokia differentiates itself based on the data we have,” stated Amy O’Connor, Senior Director of Analytics at Nokia. The company leverages data processing and complex analyses in order to build maps with predictive traffic and layered elevation models, to source information about points of interest around the world, to understand the quality of phones, and more. To grow and support its extensive use of Big Data, Nokia relies on a technology ecosystem that includes a Teradata enterprise data warehouse (EDW), numerous Oracle and MySQL data marts, visualization technologies, and at its core: Hadoop. Nokia has over 100 terabytes (TB) of structured data on Teradata and petabytes (PB) of multi-structured data on the Hadoop Distributed File System (HDFS). The centralized Hadoop cluster which lies at the heart of Nokia’s infrastructure contains .5 PB of data. Nokia’s data warehouses and marts continuously stream multi-structured data into a multi-tenant Hadoop environment, allowing the company’s 60,000+ employees
Company Overview
Nokia has been in business for more than 150 years, starting with the production of paper in the 1800s and evolving into a leader in mobile and location services that connects more than 1.3 billion people today. Nokia has always transformed resources into useful products – from rubber and paper, to electronics and mobile devices – and today’s resource is data.
Nokia’s goal is to bring the world to the third phase of mobility: leveraging digital data to make it easier to navigate the physical world. To achieve this goal, Nokia needed to find a technology solution that would support the collection, storage and analysis of virtually unlimited data types and volumes.
Industry
Telecommunications
Use Case
Effective collection and use of data has become central to Nokia’s ability to understand and improve users’ experiences with their phones and other location products. “Nokia differentiates itself based on the data we have,” stated Amy O’Connor, Senior Director of Analytics at Nokia. The company leverages data processing and complex analyses in order to build maps with predictive traffic and layered elevation models, to source information about points of interest around the world, to understand the quality of phones, and more. To grow and support its extensive use of Big Data, Nokia relies on a technology ecosystem that includes a Teradata enterprise data warehouse (EDW), numerous Oracle and MySQL data marts, visualization technologies, and at its core: Hadoop. Nokia has over 100 terabytes (TB) of structured data on Teradata and petabytes (PB) of multi-structured data on the Hadoop Distributed File System (HDFS). The centralized Hadoop cluster which lies at the heart of Nokia’s infrastructure contains .5 PB of data. Nokia’s data warehouses and marts continuously stream multi-structured data into a multi-tenant Hadoop environment, allowing the company’s 60,000+ employees