Udemyintermediateen

Exam 70-761: Query data with advanced Transact-SQL Component

Master data management with Transact-SQL! Build on your 70-761 skills. Learn to efficiently manage and manipulate data.

4.4(15)
54students
4h 59m
Certificate
Vandana Soni
Vandana SoniData Architect, Deccansoft

Course Content

Exam 70-761: Query data with advanced Transact-SQL Component is an intermediate-level Udemy course taught by Vandana Soni. It runs 4h 59m, is taught in English, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 15 reviews, with 54 students enrolled. It is a paid course, first published August 2019.

Unlock powerful data manipulation skills with this comprehensive course! Learn to efficiently retrieve and transform data using advanced SQL techniques.

  • Mastering Subqueries & APPLY: Dive deep into querying data with nested queries. Explore different types of subqueries, including:

    • Introduction to Subqueries: Understand the fundamentals of using queries within queries.
    • Self-Contained Subqueries: Learn to write independent subqueries.
    • Co-related Subqueries: Discover how to use subqueries that depend on the outer query.
    • Using EXISTS Predicate: Efficiently check for the existence of data with EXISTS.
    • Leveraging APPLY: Utilize the APPLY operator for flexible and powerful data retrieval.
  • Table Expressions for Data Transformation: Gain proficiency in using table expressions to reshape your data:

    • Derived Tables: Create temporary, named result sets within your queries.
    • CTEs (Common Table Expressions): Write more readable and maintainable queries with CTEs.
    • Views: Define virtual tables based on query results for simplified access.
    • TVFs (Table Valued Functions): Create functions that return tables for dynamic data manipulation.
  • Advanced Data Grouping & Pivoting: Transform your data for insightful analysis:

    • Grouping Sets: Aggregate data based on specified columns.
    • Cubes & Rollup: Perform multi-dimensional data aggregation.
    • Handling NULLs: Learn techniques for managing and distinguishing NULL values in your results.
    • Introduction to Window Functions: Unlock advanced analytical capabilities.
    • Window Aggregate Functions: Calculate aggregate values over a set of rows.
    • Window Ranking Functions: Rank rows within partitions of your data.
    • Window Offset Functions: Access specific rows within a ranked result set.
    • Window Pivot/Unpivot Functions: Transform data between row and column formats.
  • Data Integrity with Constraints: Ensure data quality and consistency:

    • Types of Constraints: Understand the different types of constraints available in SQL.
    • Unique Constraints: Enforce uniqueness for specific columns.
    • Not NULL Constraints: Prevent NULL values in required columns.

This course provides practical knowledge to enhance your SQL skills and effectively manage and analyze data.

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