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Table of Contents

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  1. Preface
  2. Data Integration performance tuning overview
  3. Optimizing targets
  4. Optimizing sources
  5. Optimizing mappings
  6. Optimizing mapping tasks
  7. Optimizing advanced clusters
  8. Optimizing system performance

Data Integration Performance Tuning

Data Integration Performance Tuning

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Optimizing master nodes

Optimizing master nodes

Provision a master node with enough resources to manage the worker nodes in the
advanced cluster
.
The following table lists the master node configuration based on the number of worker nodes:
Worker node count
Master node configuration
1-10
4 CPUs and 8 GB memory
11-100
8 CPUs and 32 GB memory
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