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The Futureof Big DataSAS Automotive Roundtable

Los Angeles, CA – 5 March 2015

Mike OlsonChief Strategy Officer, Cofounder@mikeolson

2© Cloudera, Inc. All rights reserved.

A New Platform for Pervasive Analytics

Batch, Interactive, and Real-Time.Leading performance and usability in one platform.

• End-to-end analytic workflows

• Access more data

• Work with data in new ways

• Enable new users

Security and Administration

Process

IngestSqoop, Flume

TransformMapReduce,

Hive, Pig, Spark

Discover

Analytic DatabaseImpala

SearchSolr

Model

Machine LearningSAS

Serve

NoSQL DatabaseHBase

StreamingSpark Streaming

Unlimited Storage HDFS, HBase

YARN, Cloudera Manager,Cloudera Navigator

Multiple big data opportunities in one optimized, high-performance, multi-tenant platform.

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SAS and Cloudera: The Power to Know at Scale

• SAS High Performance Analytics Server

• SAS Visual Analytics

• SAS/Access

• Know your customer:

• Offer optimization

• Payment risk

• Customer link analytics

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The Pervasive Analytics Journey

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Customer success across industriesFinancial Services

Telecom

Healthcare & Life Sciences

Media & Technology

Retail & CP

Public Sector

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American multinational automaker captures every touchpoint to provide a seamless customer experience.

Ask Bigger Questions:How can we anticipate maintenance

associated with specific vehicles?

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Automaker Streamlines the Customer Experience

The Challenge:• Each vehicle is comprised of thousands or millions of components, many

streaming machine data • Want to build loyalty by minimizing maintenance issues

American multinational automaker improves customer loyalty through proactive care.

The Solution:• Cloudera correlates manufacturing data with

service and customer interaction data• Predictive analytics & machine learning enable

dynamic customer profiles & personalization

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NetApp AutoSupport processes 600,000+ “phone home” transactions weekly to offer proactive customer support.

Ask Bigger Questions:How can we improve our support

team’s productivity?

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NetApp Delivers Proactive Support

The Challenge:• 40% of “phone home” data transmitted within 18 hours each weekend,

creating bottlenecks that affect SLAs• Data storage footprint doubles every 16 months • Queries take weeks; some don’t run

NetApp AutoSupport meets stringent SLAs with 64X faster processing.

The Solution:• NetApp Open Solution for Hadoop• Processes machine-generated data from

600K+ weekly transactions • Supports 7TB/month data volume growth

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A Semiconductor Manufacturer uses predictive analytics to take preventative action on chips likely to

fail.

Ask Bigger Questions:Which semiconductor chips will fail?

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Cloudera enables better predictionsThe Challenge:• Want to capture greater granular and historical data for more accurate predictive yield modeling• Storing 9 months’ data in a traditional RDBMS is expensive

Semiconductor manufacturer can prevent chip failure with more accurate predictive yield models.

The Solution:

•Dell | Cloudera solution for Apache Hadoop

•53 nodes; plan to store up to 10 years (~10PB)

•Capturing & processing data from each phase of manufacturing process

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Multinational ecommerce firm prevents cyber attacks with real-time anomaly detection of log data from hundreds of sources.

Ask Bigger Questions:Where will the next

cyber attack attempt occur?

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Multinational ecommerce firm

14

Multinational ecommerce firm prevents cyber attacks with real-time anomaly detection.

The Solution:

• Cloudera Enterprise: real-time log streaming, correlation, & analysis

• Splunk: data ingest & daily operational search

The Challenge:• Ingesting logs in many formats from 40,000 machines, hundreds of sources• Need to find signals in the data for global threat management• Symantec SIEM: costly, poor performance, doesn’t scale

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Thank you!Mike Olson

@mikeolson

mike.olson@cloudera.com