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  • Informatica Data Quality 10.4.1
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  1. Prefácio
  2. Parte   1: Versão 10.4.1
  3. Parte   2: Versão 10.4.0
  4. Parte   3: Versão 10.2.2
  5. Parte   4: Versão 10.2.1
  6. Parte   5: Versão 10.2
  7. Parte   6: Versão 10.1.1
  8. Parte   7: Versão 10.1

Guia de Versão (10.4.1.2)

Guia de Versão (10.4.1.2)

Anterior Avançar

Mecanismo de execução Spark

Mecanismo de execução Spark

Em vigor na versão 10.2.2, o Enterprise Data Lake usa o mecanismo Spark para atividades de alto consumo de recursos, como publicação de ativos, e para executar mapplets de regras ativas que usam a transformação Python. O uso do mecanismo Spark para atividades de alto consumo de recursos proporciona melhor desempenho e permite que uma implantação do Enterprise Data Lake no Amazon Elastic MapReduce (EMR) aproveite o escalonamento automático.