Rethinking Druid's User Experience

Apache Druid has always been a fast, powerful, and scalable, but it has never been "user-friendly" from a UX perspective. This talk will examine how the Druid UX is being redesigned from the ground up. This will make Druid straightforward to get started with, load data into, and manage at scale.

Transcript

1. Rethinking
   Druid's UX
   Vadim Ogievetsky
   

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2. Introduction
   Apache Druid: always fast, always scalable, not
   always user friendly. Let’s change that!
   2
   

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4. 4
   Management
   Ingestion
   Querying
   

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5. 5
   Management
   Ingestion
   Querying
   

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6. Querying
   6
   

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7. Querying
   7
   

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8. Querying
   8
   Production ready!
   

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9. Querying
   9
   

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10. Querying
    10
    

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11. Querying
    11
    

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12. 12
    Management
    Ingestion
    Querying
    

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13. Management
    13
    Router
    Broker
    Historical
    MiddleManager
    Coordinator
    Overlord
    

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14. Master
    Data
    Management
    14
    Router
    Broker
    Historical
    MiddleManager
    Coordinator
    Overlord
    Query
    

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15. Management
    15
    

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16. Management
    16
    

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17. Management
    17
    

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18. Management
    18
    

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19. 19
    Management
    Ingestion
    Querying
    

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20. Ingestion
    20
    

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21. Ingestion
    21
    

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22. Ingestion
    22
    

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23. Ingestion
    23
    

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24. Ingestion
    24
    Demo
    

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25. Usability timeline (past)
    25
    DruidSQL introduced
    Druid < 0.13.0 Druid 0.13.0 Druid 0.14.0 Druid 0.15.0
    Data sketches via SQL
    Batch data loader
    SQL systems tables New console
    Auto complete in query view
    Lookups editing UI
    Explain SQL query UI
    SQL no longer experimental
    Auto
    compaction
    Retention UI
    Auto compaction UI
    Easy data drop/reload
    

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26. Usability timeline (present + future)
    26
    Future
    Druid 0.16.0
    Streaming data loader
    Ingest data from clipboard
    Native ingestion of binary files
    Doc revamp
    Screenshots taken here
    HDFS data loader
    Interactive SQL view
    Interactive SQL view
    Auto-suggest improvements
    

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27. Questions?
    Thank you
    27
    

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