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In this step, converted assets are reviewed and optimized to improve execution time by leveraging techniques such as pushdown optimization, partitioning, and connector-specific tuning. Performance tuning can be applied selectively to various endpoint connectors based on their unique characteristics to maximize efficiency and resource utilization.
Explore a comprehensive set of optimization methods and best practices designed to enhance the performance of Cloud Data Integration (CDI) assets. Following these guidelines will help you maintain efficient, scalable, and reliable data workflows in your cloud environment.
Learn the performance tuning recommendations tailored to major cloud connectors, including:
- Snowflake
- AWS Redshift
- Google BigQuery (GBQ)
- Microsoft Azure Synapse SQL
Utilizing these guidelines will help ensure your data workflows run smoothly and efficiently across different cloud platforms.
Explore interactive demos on PowerCenter Modernization available now in the Experience Lounge
CDI-PC Deployment
Assess and Convert Assets to Cloud
