Hadoop Patterns of UseApril 2013© Hortonworks Inc. 2013
Existing Data ArchitectureAPPLICATIONS                   Business                      Custom        Enterprise           ...
Next-Generation Data ArchitectureAPPLICATIONS                   Business                      Custom                Enterp...
Hadoop Common Patterns of Use            Business Cases           “Right-time” Access to Data         Batch          Inter...
Operational Data Refinery                                                                                                 ...
Big Data Exploration & Visualization                                                                                      ...
Application Enrichment                                                                                                    ...
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Hadoop Patterns of Use

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DOWNLOAD the whitepaper here: http://hortonworks.com/wp-content/plugins/download-monitor/download.php?id=71

As an organization laser focused on developing, distributing and supporting Apache Hadoop for enterprise customers, we have been fortunate to have a unique vantage point.

We’re delighted to share with you these slides and our new whitepaper ‘Apache Hadoop Patterns of Use’. The patterns discussed in the slides and whitepaper are:

Refine: Collect data and apply a known algorithm to it in a trusted operational process.
Explore: Collect data and perform iterative investigation for value.
Enrich: Collect data, analyze and present salient results for online apps.

We hope you enjoy the content.

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Hadoop Patterns of Use

  1. 1. Hadoop Patterns of UseApril 2013© Hortonworks Inc. 2013
  2. 2. Existing Data ArchitectureAPPLICATIONS Business Custom Enterprise Analytics Applications Applications DEV & DATA TOOLS BUILD & TESTDATA SYSTEMS OPERATIONAL TOOLS MANAGE & RDBMS EDW MP MONITOR TRADITIONAL REPOS PDATA SOURCES Traditional Sources OLTP,(RDBMS, OLTP, OLAP) POS SYSTEMS
  3. 3. Next-Generation Data ArchitectureAPPLICATIONS Business Custom Enterprise Analytics Applications Applications DEV & DATA TOOLS BUILD & TESTDATA SYSTEMS OPERATIONAL TOOLS ENTERPRISE MANAGE & HADOOP PLATFORM MONITOR RDBMS EDW MP TRADITIONAL REPOS PDATA SOURCES Traditional Sources New Sources OLTP,(RDBMS, OLTP, OLAP) (web logs, email, sensors, social media) POS SYSTEMS
  4. 4. Hadoop Common Patterns of Use Business Cases “Right-time” Access to Data Batch Interactive Online Refine Explore Enrich HORTONWORKS DATA PLATFORM Big Data Transactions, Interactions, Observations
  5. 5. Operational Data Refinery Enric Refine Explore hAPPLICATIONS Business Custom Enterprise Transform & refine ALL Analytics Applications Applications sources of data Also known as Data Reservoir or Catch Basin 3DATA SYSTEMS HORTONWORKS DATA PLATFORM 2 1 Capture RDBMS EDW MPP TRADITIONAL REPOS 2 Process 1DATA SOURCES Traditional Sources New Sources 3 Distribute & Retain (RDBMS, OLTP, OLAP) (web logs, email, sensor data, social media)
  6. 6. Big Data Exploration & Visualization Refine Explore EnrichAPPLICATIONS Business Custom Enterprise Leverage “data lake” Analytics Applications Applications to perform iterative investigation for value 3DATA SYSTEMS HORTONWORKS DATA PLATFORM 2 1 Capture RDBMS EDW MPP TRADITIONAL REPOS 2 Process 1DATA SOURCES Traditional Sources New Sources 3 Explore & Visualize (RDBMS, OLTP, OLAP) (web logs, email, sensor data, social media)
  7. 7. Application Enrichment Refine Explore EnrichAPPLICATIONS Custom Enterprise Create intelligent Applications Applications applications 3 Collect data, create analytical models and deliver to online appsDATA SYSTEMS HORTONWORKS DATA PLATFORM 2 1 Capture RDBMS EDW MPP NOSQL TRADITIONAL REPOS 2 Process & Compute 1DATA SOURCES Traditional Sources New Sources 3 Deliver Model (RDBMS, OLTP, OLAP) (web logs, email, sensor data, social media)
  8. 8. follow us: @hortonworks

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