Wrangling Customer Usage Data with Hadoop Clearwire – Thursday, June 27 th Carmen Hall – IT Director Mathew Johnson – Sr. IT Manager

Starting With… …a little ingenuITy!

ingenuITy Clearwire Opportunity for everyone in IT to innovate and present new and even crazy ideas One of those crazy ideas was from Roger Hosto Roger had the solution for Clearwire’s Big Data problem: Hadoop

But Wait! Now we had a solution for Big Data We needed a Big Data opportunity We had just the thing…

The Perfect Problem Customer Usage Data – our commodity to Wholesale partners

Totally (un)Wired Americans used more than 1,304 petabytes of wireless data in an increase of 69.3% over the previous 12 months' usage (827 TB) Clearwire processes over 3B individual usage detail records each month

Shifting Landscape The U.S. wireless industry is a $195.5 billion enterprise - larger than publishing, agriculture, hotels and lodging, air transportation and movies – just to name a few Prepaid/Pay-As-You-Go services' share of overall market penetration is 23.4% driving higher exposure of lost revenue if usage delivery is delayed. In some cases, a customer can consume data faster than we can bill for it

Anatomy Of Latency - Legacy

Let’s Talk Numbers Assume a 2GB plan An HD movie from Netflix consumes 2+ GB per hour Assume wholesale price = $6/GB Assume the retail price for a GB of data (as top up or overage) ranges from $20 – $100

As if that wasn’t enough - Clearwire was locked into a very expensive vendor contract which handled both network provisioning and usage delivery needs Legacy solution was not adaptable or flexible We needed something innovative, reliable, internally supportable, scalable – and we needed it fast

Putting ingenuITy to Work! Roger’s idea was suddenly a project We needed to build a platform to ingest, process, and provide cleaned usage data for downstream applications – and quickly We needed: A Hadoop Cluster 24x7 Operations Code to ingest data and handle a myriad of business rules Integration with legacy and new systems

Atlas was Born Development work began immediately on Clearwire’s private cloud infrastructure Selected BigTop Packaging of Apache Hadoop v1.0.1 Custom code leveraging Hive and other common tools to ingest and process data was written Infrastructure was built

Hybrid Approach to Hadoop Virtual Edge Nodes Leveraged our existing private cloud Physical Data Nodes Per Unit Cost (Storage & CPU) was lower than existing infrastructure Smaller and more efficient than you think 24 data nodes, each with 3TB of usable storage Gives us 72TB of usable space 3x block replication for production data Deployed identical DR/Analytics platform

Operational in No Time 2.5 months from project approval to production Leveraged our existing support organizations Solution leveraged common tools, did not require specialized teams Fault tolerance inherent within Hadoop helps us minimize late night calls An endless supply of data was quickly flowing through the system The results were looking good!

Real Results 65% improvement in end to end delivery times From 2.5 hours to 1.3 hours Reduced catch up time from upstream outages by more than half Reduced outage impacts by introducing flexibility to deliver partial files Eliminated 4 hour weekly usage delivery outages tied to provisioning system maintenance

Anatomy of Latency - Now

Real (Financial) Results 6 month return on investment Delivered at 1/3 the cost of competing solutions Foundational – Enabling Wholesale support plan of legacy platform migration Saving Clearwire 10’s of millions of dollars over life of contract and internalizing support and development

The Intangibles Proved to internal and external partners that we deliver what we promise with limited negative impacts to ongoing business This was KEY to the speed at which we were able to migrate our billing platform Delivered more than just a single, targeted process – delivered an enterprise usage platform to grow from Kept true to our innovative spirit and the commitment to IT professionals that they can make a difference

Evolution – Proving More The Atlas Hadoop platform is now a go-to IT solution LTE Usage Data – Now in production Other Data Sources - ESR Data Data Replication and real-time ETL Exploring opportunities with network team to move closer to usage generation Changing mindset of what IT can mean to an organization

Q & A