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  • Informatica Data Quality 10.5.3
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  1. Prólogo
  2. Parte 1: Version10.5.3
  3. Parte 2: Version10.5.2 - 10.5.2.1.x
  4. Parte 3: Versión 10.5.1-10.5.1.1
  5. Parte 4: Versiones 10.5-10.5.0.1
  6. Parte 5: Versiones 10.4.1-10.4.1.3
  7. Parte 6: Versiones 10.4-10.4.0.2
  8. Parte 7: Versión 10.2.2 a 10.2.2 HotFix 1
  9. Parte 8: Versión 10.2.1
  10. Parte 9: Versión 10.2 a 10.2 HotFix 2

Novedades y cambios(10.5.3)

Novedades y cambios(10.5.3)

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Transmisión estructurada de Spark

Transmisión estructurada de Spark

A partir de la versión 10.2.2, Big Data Streaming usa le transmisión estructurada de Spark para procesar los datos de transmisión.
La transmisión estructurada de Spark es un motor de procesamiento de transmisiones de código abierto con tolerancia a errores y escalable desarrollado a partir del motor de Spark. Puede administrar la recepción tardía de eventos de transmisión y procesar datos de transmisión según la marca de tiempo de origen.
El motor de Spark ejecuta continuamente la asignación de transmisión. Lee los datos, los divide en microlotes, procesa dichos microlotes, publica los resultados y después escribe en un destino.
Para obtener más información, consulte la
Guía del usuario de Informatica Big Data Streaming 10.2.2
.