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The Futureof Big DataSAS Automotive Roundtable
Los Angeles, CA – 5 March 2015
Mike OlsonChief Strategy Officer, Cofounder@mikeolson
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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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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