Databases Reference
In-Depth Information
Big Data scale
●
28-node Cloudera Enterprise cluster
●
600,000+ incoming data transactions processed weekly
●
Data volumes growing 7 TB per month
●
Storage requirements doubling every 16 months
Case study 5: Driving customer-centric transformations
Company: Cloudera
Customer: Nokia
Program: Using Big Data to bridge the virtual and physical worlds
Industry: Telecommunications
Business applications:
●
Geospatial application development
●
Content/engagement optimization
●
Network sessonization
Outcomes:
●
Enables unprecedented scale and flexibility to build 3D digital maps of the globe.
Hadoop is absolutely mission-critical for Nokia. We can now understand how people interact with
the apps on their phones to view usage patterns across applications. We can ask things like, “Which
feature did they go to after this one?” and “Where did they seem to get lost?” We wouldn't have got-
ten our Big Data platform to where it is today without Cloudera's platform, expertise, and support.
—Amy O'Connor, senior director of analytics at Nokia
Company overview
Nokia has been in business for more than 150 years, starting with the production of paper in the nine-
teenth century 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.
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 O'Connor. The company leverages data processing and complex analyses 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 EDW, numerous Oracle and MySQL datamarts, visualization technologies, and,
