Transform Data: SQL Window Functions

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Transform Data: SQL Window Functions

This course is part of SQL at Scale: Querying, Transforming, and Governing Specialization

Instructor: Hurix Digital

2 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

UNPIVOT normalization increases analytical flexibility but requires balancing performance and storage costs.
Window functions support advanced analytics without reducing rows, making them vital for time-series and comparative metrics.
Applying the right data transformations improves pipeline efficiency and boosts analytical query performance.
Knowing the architectural impact of data reshaping is key to building scalable data engineering solutions.

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This course is part of the SQL at Scale: Querying, Transforming, and Governing Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 2 modules in this course

Master the advanced SQL techniques that separate proficient data engineers from the experts. This course transforms your ability to reshape complex data structures and compute sophisticated analytical metrics that power enterprise data pipelines.

This Short Course was created to help data management and engineering professionals accomplish seamless data transformation and advanced analytical computations. By completing this course, you'll be able to confidently normalize wide-format data structures, implement complex window functions for time-series analysis, and optimize data pipeline performance across major cloud platforms including Azure Synapse, SQL Server, Teradata, and Snowflake. By the end of this course, you will be able to: Analyze the transformation of pivoted data into a normalized format and its associated trade-offs Apply SQL window functions to compute rolling and rank-based metrics This course is unique because it bridges the gap between basic SQL operations and enterprise-grade data transformation techniques, providing hands-on experience with real-world scenarios that mirror production data engineering challenges. To be successful in this project, you should have a background in intermediate SQL, experience with data warehousing concepts, and familiarity with at least one enterprise database platform.

Learners will master UNPIVOT to normalize datasets and should know basic SQL; familiarity with analytical concepts is helpful but not required.

What's included

3 videos2 readings1 assignment

3 videosTotal 24 minutes

Why Data Normalization Through UNPIVOT Transforms Enterprise Analytics3 minutes
Understanding UNPIVOT Operations and Data Structure Trade-offs7 minutes
Implementing UNPIVOT Operations in SQL Server Management Studio15 minutes

2 readingsTotal 16 minutes

UNPIVOT Syntax Patterns and Implementation Strategies8 minutes
Transforming Wide Sales Data with UNPIVOT Operations8 minutes

1 assignmentTotal 5 minutes

UNPIVOT Operations and Data Transformation Trade-offs Assessment5 minutes

Learners will implement sophisticated window functions to calculate rolling averages, ranking metrics, and time-series analysis that power enterprise analytical dashboards and reporting systems.

What's included

3 videos1 reading3 assignments

3 videosTotal 21 minutes

How Window Functions Transform Time-Series Analytics4 minutes
Mastering Window Function Syntax and PARTITION BY Logic7 minutes
Building Rolling Metrics with Window Functions in Azure Synapse Analytics11 minutes

1 readingTotal 8 minutes

Advanced Window Function Patterns for Enterprise Analytics8 minutes

3 assignmentsTotal 30 minutes

Comprehensive SQL Window Functions and Data Transformation Mastery Assessment10 minutes
Implement 7-Day Rolling Session Metrics for Enterprise Dashboard15 minutes
Advanced Window Functions and Rolling Metrics Mastery Check5 minutes

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Instructor

Hurix Digital

Coursera

387 Courses33,948 learners

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