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Unify, Reconcile, and Tune Data Systems · LearnSpace
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Unify, Reconcile, and Tune Data Systems

Курс от Coursera
Продвинутый≈ 3.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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

Навыки, которые вы освоите

Performance MetricPerformance ImprovementPerformance TestingOperational DatabasesDatabase DesignData PipelinesData ValidationData CleansingPerformance TuningSQLPerformance MeasurementData QualityData IntegrationApplication Performance ManagementConsolidationData ManipulationSystems IntegrationData ManagementData IntegrityData Governance

Программа курса

3 модулей · 19 учебных материалов

01Module 1: Apply SQL MERGE for upsert operations Apply SQL MERGE for upsert operations6 материалов
The Cost of Data Inconsistency in Enterprise SystemsВидео SQL MERGE Statement Fundamentals and SyntaxВидео MERGE Statement Components and Operational LogicЧтение Implementing Basic SQL MERGE OperationsВидео

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Преподаватель курса

Unify, Reconcile, and Tune Data Systems
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 3.2 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Азербайджанский, Испанский, Японский

Часть программы вашего университета
Implementing SQL MERGE for Customer Data SynchronizationЛабораторная
SQL MERGE Operations Knowledge CheckЗадание
02Module 2: Analyze field conflicts and design reconciliation rules Analyze field conflicts and design reconciliation rules6 материалов
Navigating Complex Data Conflicts in Multi-Source IntegrationDIALOGUE Field-Level Conflict Analysis and Reconciliation StrategiesЧтениеReconciliation Rule Design Patterns and ImplementationВидео Building Conflict Analysis Matrices for Multi-Source DataВидео Design Comprehensive Reconciliation Rules for Multi-Source Customer DataЗадание Field-Level Conflict Analysis and Reconciliation Knowledge CheckЗадание
03Module 3: Evaluate integration performance and recommend tuning Evaluate integration performance and recommend tuning7 материалов
When Performance Bottlenecks Cost MillionsВидео Performance Measurement and Bottleneck Identification in Data Integration SystemsЧтениеPerformance Tuning Strategies and Implementation ApproachesВидео Developing Performance Optimization StrategiesDIALOGUEComprehensive Performance Analysis and Optimization Strategy DevelopmentЗаданиеData Integration Performance Optimization Knowledge CheckЗаданиеData Integration Performance and Optimization Mastery Assessment Задание