Cloud Computing with MySQL and Kettle

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In this presentation we will work our way up from simple data loading to complex cloud computing examples.


  • Introduction to Kettle (10’)
    • What is BI, What is ETL?
    • Overview of typical use-cases
    • Short demo : load data into MySQL
  • Kettle slave servers (4’)
    • What is a Kettle slave server?
    • What can it do?
    • How do you start it?
    • How do you configure it?
  • Kettle cluster schemas (4’)
    • What is a Kettle cluster schema?
    • What is the role of the master?
    • How do you configure it?
    • Show small demo of data loading to 5 MySQL databases at once.
  • The cloud (10’)
    • What is cloud computing? (Typical examples)
    • Configuring slaves to call home (auto-config schemas)
    • How does it work? (register slave, get list of slaves)
    • Where it makes sense
    • Where it doesn’t make sense
  • Cloud examples (15’)
    • Create and administer MySQL databases in parallel. (short sample on 2 or more slaves, depending on the availability of hardware)
    • Load a set of data into a (partitioned) MySQL database table on N hosts to parallelize lookups. (example of database partitioning)
  • Questions & closing (2’)
Photo of Matt Casters

Matt Casters


Matt Casters is the founder and lead developer of the Kettle open source ETL project. Matt has extensive experience in business intelligence, lives in Belgium, is a big proponent of open source and works for the Pentaho corporation.

Co-presented By:

O'Reilly Media MySQL/Sun Microsystems
  • Kickfire
  • Virident
  • Infobright, Inc
  • JasperSoft
  • Intel
  • Advanced Micro Devices
  • BIRT Exchange by Actuate
  • Calpont
  • Canonical
  • Continuent
  • Dolphin Interconnect Solutions
  • Facebook
  • HiT Software, Inc.
  • IBM
  • iDashboards
  • Oracle
  • Pentaho
  • R1Soft
  • Schooner Information Technology
  • SQLstream
  • Ticketmaster
  • Zmanda, Inc.
  • Linux Journal

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