Database Reference
In-Depth Information
that were replaced forced users to deal with too much complexity; the ware-
houses demanded constant attention and administration from highly trained
specialists. This complexity is doubly corrosive: the costs of administration
spiral upward and out of control as data volumes grow, while the business,
distanced from its data, must seek technical expertise to manage its interac-
tions with its information.
As we noted earlier, Netezza revolutionized the data warehousing market
and caused traditional data warehouse providers to change their strategies.
Why did the market change its course, or accelerate plans, when Netezza took
the marketplace by storm? Simple: customers were able to refocus their time
away from the technical aspects of managing data and toward the business
and the greater role that data can play in its success. Individuals who previ-
ously spent as much as 90 percent of their time consumed in low-level technical
work now rarely interact with the technology, but constantly interact with the
business and its data to investigate new ways to create value from their data.
We thought it'd be worthwhile to share with you just a few customer stories that
highlight why and how Netezza blazed the trail for data warehouse appliances.
T-Mobile: Delivering Extreme Performance
with Simplicity at the Petabyte Scale
Every day, T-Mobile processes more than 17 billion events, including phone
calls, text messages, and data traffic over its networks. This translates to upward
of 2PB of data that needs to be crunched. T-Mobile needed a Big Data solu-
tion that could store and analyze multiple years worth of call detail records
(CDRs) containing switch, billing, and network event data for its millions of
subscribers. T-Mobile wanted to identify and address network bottlenecks
and to ensure that quality and capacity would be provisioned when and
where they are needed.
Netezza proved to be the right solution for T-Mobile to manage its mas-
sive growth in data. More than 1,200 users access its Netezza system. They
analyze over 17 billion events per day and perform network quality of expe-
rience (QoE) analytics, traffic engineering, churn analysis, dropped session
analytics, as well as voice and data session analytics. Since deploying Netezza,
T-Mobile has realized a significant reduction in data warehouse administra-
tive activities compared to its previous solution, and has also been able to
