Teradata Listener™: Radically Simplify Big Data Streaming
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Transcript of Teradata Listener™: Radically Simplify Big Data Streaming
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You Have Data
• You want to get your data into your data warehouse for analysis
• You don't want to deal with tickets and IT for infrastructure
• You don't want to code loaders for Teradata, Hadoop or Aster
• You can’t keep up with the hype machine to select the best ingest or streaming technology
• You want APIs on all the things so you can do what you want
© 2014 Teradata
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Simple Problem?
• Should be easy to hook up streaming data sources to data platforms
© 2014 Teradata
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Not A Simple Solution
• Need to integrate several layers of software and infrastructure
© 2014 Teradata
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Listener Makes It Simple
• Teradata Listener is an intelligent, self-service software solution for ingesting and distributing fast moving data streams
© 2014 Teradata
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Teradata Listener Features
Enterprise wide solution for ingesting high volume real-time streams of data
Automatic calculation of volume, latency & monitoring metrics
Pre-built integration with Teradata UDA for persisting data in real-time or batches
Fully supported & enterprise grade
Self-service & governance for users
Build real-time streaming analytics, power real-time dashboards, generate alerts using Teradata Listener APIs
Microservice cloud architecture
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Business Use Cases
Website Activity IoT / Sensors Email Compliance Sales Spikes Track Logistics
Track Social Media Customer Satisfaction Reservation Brokers Recommendations Security Data
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SOURCES SYSTEMS FIREHOSE STREAMS ROUTER WRITERS INGEST
Write tuples Write to firehose Write to streams
Read mini-batches Read mini-batches Multiple sources
DTG
Listener Data Flow
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Teradata Listener Availability
Internal Beta
Listener is currently deployed internally to several Teradata teams for various use cases.
Early Customer Access
2-3 initial customers will be selected to help validate Listener capabilities & performance Customer selection will be based on use cases, customer environment & fit with Listener
General Availability
Engineering complete in December.General Commercial Availability in Q1 2016.
Ongoing2015
Oct - Nov2015
Q12016