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Coursera

Unify, Reconcile, and Tune Data Systems

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Overview

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Did you know that inconsistent or poorly synchronized data can derail analytics, disrupt integrations, and slow critical business processes? Effective reconciliation and performance tuning are essential for keeping enterprise systems aligned and efficient. This Short Course was created to help professionals in this field master advanced data synchronization, conflict resolution, and performance optimization techniques for enterprise-scale data pipeline transformation and optimization. By completing this course, you will be able to apply SQL MERGE for upsert operations, design field-level reconciliation rules to resolve data conflicts, and evaluate integration performance to recommend tuning actions—skills vital for building accurate, reliable, and high-performing data systems. By the end of this 4-hour long course, you will be able to: By the end of this 165‑minute (2.75‑hour) course, you will be able to: Apply the SQL MERGE statement to perform upsert operations on a target table. Analyze field-level conflicts to design data reconciliation rules. Evaluate system integration performance to recommend tuning actions. This course is unique because it blends advanced SQL techniques with enterprise data governance and optimization strategies, giving you hands-on experience designing robust pipelines that unify datasets while maintaining accuracy and speed. To be successful in this project, you should have: Advanced SQL knowledge Understanding of database design concepts Data integration experience Familiarity with performance monitoring practices

Syllabus

  • Module 1: Apply SQL MERGE for upsert operations Apply SQL MERGE for upsert operations
    • Learners will master SQL MERGE statement implementation for atomic upsert operations on target tables in enterprise data integration scenarios.
  • Module 2: Analyze field conflicts and design reconciliation rules Analyze field conflicts and design reconciliation rules
    • Learners will systematically analyze field-level data conflicts from multiple sources and design comprehensive reconciliation rules for reliable data integration.
  • Module 3: Evaluate integration performance and recommend tuning Evaluate integration performance and recommend tuning
    • Learners will systematically evaluate data integration performance metrics and develop targeted tuning recommendations for optimizing system efficiency.

Taught by

Hurix Digital

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