The DAP - Where YARN, HBase, Kafka and Spark go to Production
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Transcript of The DAP - Where YARN, HBase, Kafka and Spark go to Production
The DAP – Where YARN, HBase, Kafka and Spark Go to Production
Hadoop Summit - June 30th, 2016
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Cask, CDAP, Cask Hydrator and Cask Tracker are trademarks or registered trademarks of Cask Data. Apache Spark, Spark, the Spark logo, Apache Hadoop, Hadoop and the Hadoop logo are trademarks or registered trademarks of the Apache Software Foundation. All other trademarks and registered trademarks are the property of their respective owners.
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About Me
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The Many Faces of Hadoop
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Developer Data Scientist IT Pro / Ops
LOB Manager
Advanced Programming
Focuses on App Logic
Basic Programming
Focuses on Data
Configuration & Monitoring
Focuses on Operations
Analysis & Decision Making
Focuses on Insights
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Big Data Challenges
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Building a Big Data App
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Deploying and Operating a Big Data App
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Today’s Integration Solutions are Silo’ed
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Data Integration App Integration Cloud Integration Governance
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Introducing the DAP
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Enter Cask
Key Customers and Partners
Named a Gartner Cool Vendor 2016
Founded in 2011 by early Hadoop engineers from Facebook and Yahoo!
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Introducing the Cask Data App Platform
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CDAP Overview
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Open Source, Integrated Framework for Building and Running Data Applications on Hadoop and Spark
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● Provides a platform with framework level
correctness
● Dataset abstractions & self-service data
● One framework: Prototype to Production
● Unified approach across all paradigms
○ Metrics & Log collection
○ Lineage, Audit, Access Control
CDAP Consolidates Big Data App Lifecycle
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CDAP Extensions
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CDAP Architecture
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● Application Container Architecture
● Reusable Programming
Abstractions
● Global User and Machine Metadata
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CDAP Application Structure
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CDAP Deployment Architecture
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Hadoop in the Enterprise – Simplified with CDAP
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Common Use Cases
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Summary
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Thank You !
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