7/24/2019 HWX Datasheet Telco Final

http://slidepdf.com/reader/full/hwx-datasheet-telco-final 1/2© 2014 Hortonworks, Inc. All r ights reserved. Hadoop and the Hadoop elephant logo are trademarks of the Apache Software Foundation. 

Telecommunications providers process millions of services per second,from phone calls, text messages and email to web browsing, streamingvideo and music. On top of this, consumers expect to save everythingthey ever receive, in case they want to access it later. To accommodatethis rapid growth in data, telcos are using Apache™ Hadoop® to turn theirburgeoning storage liabilities into strategic information assets.

Applications in telecommunications include:

Improve service andlaunch new products

Telcos Do Hadoop

Analyze Call DetailRecords (CDRs)

Telcos perform forensics on droppedcalls and poor sound quality, but calldetail records (CDRs) flow in at a rate ofmillions per second. This high volumemakes pattern recognition and root causeanalysis difficult, if not time consuming.The resulting delays can cause attritionand harm servicing margins.

Apache Flume can ingest millions ofCDRs per second into Hadoop, while

Apache Storm processes those in realtime and identifies any troublingpatterns. HDP facilitates long-term dataretention for root cause analysis, evenyears after the first issue. This CDRanalysis can be used to continuouslyimprove call quality, customersatisfaction and servicing margins.

Service EquipmentProactively

Transmission towers and their relatedconnections form the spinal cord of atelecommunications network. Failure of atransmission tower can cause servicedegradation. Replacement of equipmentis usually more expensive than repair.There exists an optimal schedule formaintenance that’s neither too early, nortoo late.

Apache Hadoop stores unstructured,

streaming sensor data from the network.Telcos can derive optimal maintenanceschedules by comparing real-timeinformation with historical data. Machinelearning algorithms can reduce bothmaintenance costs and service disruptionsby addressing potential equipment failurebefore it occurs.

Rationalize InfrastructureInvestments

Telco marketing and capacity planningare correlated. Consumption ofbandwidth and services can be out ofsync with plans for new towers andtransmission lines. This mismatchbetween infrastructure investments andthe actual return on investment can putrevenue at risk.

Network log data helps telcos understandservice consumption in a particular state,

county or neighborhood. They can thenanalyze network loads more intelligently(with data stretching over longer periodsof time) and plan infrastructureinvestments with more precisionand confidence.

www.hortonworks.com

7/24/2019 HWX Datasheet Telco Final

http://slidepdf.com/reader/full/hwx-datasheet-telco-final 2/2© 2014 Hortonworks, Inc. All r ights reserved. Hadoop and the Hadoop elephant logo are trademarks of the Apache Software Foundation. 

Hortonworks Data Platform 2.0

Hortonworks is a leading commercial vendor of

Apache Hadoop, the open source platform for

storing, managing and analyzing Big Data. Our

distribution of Apache Hadoop, Hortonworks Data

Platform, provides an open and stable foundation for

enterprises and a growing ecosystem to build and

deploy Big Data solutions.

Hortonworks is the trusted source for information

on Hadoop, and together with the Apache

community, Hortonworks is making Hadoop an

enterprise data platform. Hortonworks provides

unmatched technical support, training and

certification programs for enterprises, systems

integrators and technology vendors.

To learn more, visit

www.hortonworks.com

or call (855) 8-HORTON

Hortonworks. We do Hadoop.

Data Management

Store and process vastquantities of data in a

scale-out storage layer.

Apache™ Hadoop®: Enterprise-class, Enterprise-ready

Apache™ Hadoop® has evolved significantly to meet enterprise requirements, and now encompasses thefunctional areas that are foundational to any platform technology. 

Data Access

Access and interactwith your data in awide variety of ways—spanning batch,interactive, and

real-time use cases. 

Data Governanceand Integration

Quickly and easily loaddata, and manageaccording to policy.

Security

Address requirementsof Authentication,Authorization,Accounting and

Data Protection.

Operations

Provision, manage,monitor and operateHadoop clustersat scale.