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DP-080T00 Querying Data with Microsoft Transact-SQL

$595 - $1,295

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    • Microsoft Technical

    Course Highlights

    ILT DURATION: 2 Day(s)
    SKILL LEVEL: 
    • Intermediate
    BRAND/TECHNOLOGY: 

    DP-080T00 Querying Data with Microsoft Transact-SQL Course Outline

    This course will teach the basics of Microsoft’s dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.

    This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers.

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    1 – Introduction to Transact-SQL

    • Work with schemas
    • Explore the structure of SQL statements
    • Examine the SELECT statement
    • Work with data types
    • Handle NULLs

    2 – Sort and filter results in T-SQL

    • Sort your results
    • Limit the sorted results
    • Page results
    • Remove duplicates
    • Filter data with predicates

    3 – Combine multiple tables with JOINs in T-SQL

    • Understand joins concepts and syntax
    • Use inner joins
    • Use outer joins
    • Use cross joins
    • Use self joins

    4 – Write Subqueries in T-SQL

    • Understand subqueries
    • Use scalar or multi-valued subqueries
    • Use self-contained or correlated subqueries

    5 – Use built-in functions and GROUP BY in Transact-SQL

    • Categorize built-in functions
    • Use scalar functions
    • Use ranking and rowset functions
    • Use aggregate functions
    • Summarize data with GROUP BY
    • Filter groups with HAVING

    6 – Modify data with T-SQL

    • Insert data
    • Generate automatic values
    • Update data
    • Delete data
    • Merge data based on multiple tables