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Living Data: Applying Adaptable
       Schemas to HBase

Aaron Kimball – CTO




                         WibiData, Inc.
HBase is a nexus for your data
HBase: Schema free (unfortunately)
•   Cells only hold byte arrays
•   Column names implicitly defined by apps
•   Each app must (de)serialize values correctly
•   Changing a schema requires rewriting a
    column—and updating every reader/writer
Datatypes can get rooted in place



                 =
Avro: Flexible schemas



                 =
Avro decouples schemas
Every cell stores its schema (hash)
Layout table stores common schemas
    <column>
      <name>info:email</name>
      <description>User email address</description>
      <schema>“string”</schema>
    </column>


• Data dictionary provides reference to
  engineers on different projects
• Common schemas used by tools that want to
  enforce a “default” schema for a column (e.g.,
  Sqoop-based exports)
Conclusions
• Avro allows decoupled applications to:
  – Share the same data store
  – Change individual applications without downtime
  – Eliminates need to structurally modify data
• Layout management allows:
  – Developers to communicate about data without
    using code
  – Data-agnostic applications to manipulate
    structured information
www.wibidata.com / @wibidata
   Aaron Kimball – aaron@wibidata.com

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HBaseCon 2012 | Living Data: Applying Adaptable Schemas to HBase - Aaron Kimball, WibiData

  • 1.
  • 2. Living Data: Applying Adaptable Schemas to HBase Aaron Kimball – CTO WibiData, Inc.
  • 3. HBase is a nexus for your data
  • 4. HBase: Schema free (unfortunately) • Cells only hold byte arrays • Column names implicitly defined by apps • Each app must (de)serialize values correctly • Changing a schema requires rewriting a column—and updating every reader/writer
  • 5. Datatypes can get rooted in place =
  • 8. Every cell stores its schema (hash)
  • 9. Layout table stores common schemas <column> <name>info:email</name> <description>User email address</description> <schema>“string”</schema> </column> • Data dictionary provides reference to engineers on different projects • Common schemas used by tools that want to enforce a “default” schema for a column (e.g., Sqoop-based exports)
  • 10. Conclusions • Avro allows decoupled applications to: – Share the same data store – Change individual applications without downtime – Eliminates need to structurally modify data • Layout management allows: – Developers to communicate about data without using code – Data-agnostic applications to manipulate structured information
  • 11. www.wibidata.com / @wibidata Aaron Kimball – aaron@wibidata.com