კურსი 20461: Querying Microsoft SQL Server® 2014
დაწყების თარიღი: 25 სექტემბერი, 2017

 

Module 1: Introduction to Microsoft SQL Server 2014 This module introduces the SQL Server platform and major tools. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.Lessons

  • Introducing T-SQL
  • Understanding the Logical Order of Operations in SELECT statements
  • Writing Simple SELECT Statements
  • Eliminate Duplicates with DISTINCT
  • Using Column and Table Aliases
  • Write Simple CASE Expressions

 

Lab : Writing Basic SELECT Statements

 

  • Work with SQL Server Management Studio.
  • Describe the logical order of operations in SELECT statements
  • Write simple SELECT statements.
  • Eliminate duplicates using the DISTINCT clause.
  • Use column and table aliases.
  • Write simple CASE expressions.

 

 

Module 2: Querying Multiple Tables This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.Lessons

  • Understanding Joins
  • Querying with Inner Joins
  • Querying with Outer Joins
  • Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables

After completing this module, you will be able to:

  • Describe how multiple tables may be queried in a SELECT statement using joins.
  • Write queries that use inner joins.
  • Write queries that use outer joins.
  • Write queries that use self-joins and cross joins.

 

Module 3: Sorting and Filtering Data This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.Lessons

  • Sorting Data
  • Filtering Data with Predicates
  • Filtering with the TOP and OFFSET-FETCH
  • Working with Unknown Values

Lab : Sorting and Filtering Data

After completing this module, you will be able to:

  • Filter data with predicates in the WHERE clause.
  • Sort data using ORDER BY.
  • Filter data in the SELECT clause with TOP.
  • Filter data with OFFSET and FETCH.

 

 

Module 4: Working with SQL Server 2014 Data Types This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the importance of type precedence.Lessons

  • Introducing SQL Server 2014 Data Types
  • Working with Character Data
  • Working with Date and Time Data

Lab : Working with SQL Server 2014 Data Types

After completing this module, you will be able to:

  • Describe numeric data types, type precedence and type conversions.
  • Write queries using character data types.
  • Write queries using date and time data types.

 

Module 5: Using DML to Modify Data This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data.Lessons

  • Inserting Data
  • Modifying and Deleting Data

Lab : Using DML to Modify Data
After completing this module, you will be able to:

  • Insert new data into your tables.
  • Update and delete existing records in your tables.

 

Module 6: Using Built-In Functions This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.Lessons

  • Writing Queries with Built-In Functions
  • Using Conversion Functions
  • Using Logical Functions
  • Using Functions to Work with NULL

Lab : Using Built-In Functions

After completing this module, you will be able to:

  • Write queries with built-in scalar functions.
  • Use conversion functions.
  • Use logical functions.
  • Use functions that work with NULL.

 

Module 7: Grouping and Aggregating Data This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.Lessons

  • Using Aggregate Functions
  • Using the GROUP BY Clause
  • Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

After completing this module, you will be able to:

  • Write queries which summarize data using built-in aggregate functions.
  • Use the GROUP BY clause to arrange rows into groups.
  • Use the HAVING clause to filter out groups based on a search condition.

 

Module 8: Using Subqueries This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators.Lessons

  • Writing Self-Contained Subqueries
  • Writing Correlated Subqueries
  • Using the EXISTS Predicate with Subqueries

Lab : Using Subqueries

After completing this module, you will be able to:

  • Describe the uses of queries which are nested within other queries.
  • Write self-contained subqueries which return scalar or multi-valued results.
  • Write correlated subqueries which return scalar or multi-valued results.
  • Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

 

Module 9: Using Table Expressions This module introduces T-SQL expressions which return a valid relational table, typically for further use in the query. The module discusses views, derived tables, common table expressions and inline table-valued functions.Lessons

  • Using Views
  • Using Inline Table-Valued Functions
  • Using Derived Tables
  • Using Common Table Expressions

Lab : Using Table Expressions

After completing this module, you will be able to:

  • Write queries which use derived tables.
  • Write queries which use common table expressions.
  • Create simple views and write queries against them.
  • Create simple inline table-valued functions and write queries against them.

 

Module 10: Using Set Operators This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.Lessons

  • Writing Queries with the UNION Operator
  • Using EXCEPT and INTERSECT
  • Using APPLY

Lab : Using Set Operators

After completing this module, you will be able to:

  • Write queries which combine data using the UNION operator
  • Write queries which compare sets using the INTERSECT and EXCEPT operators
  • Write queries which manipulate rows in a table by using APPLY with the results of a derived table or function

 

Module 11: Using Window Ranking, Offset, and Aggregate Functions This module introduces window functions including ranking, aggregate and offset functions. Much of this functionality is new to SQL Server 2012. It will cover the use of T-SQL functions such as ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE and LAST_VALUE to perform calculations against a set, or window, of rows.Lessons

  • Creating Windows with OVER
  • Exploring Window Functions

Lab : Using Window Ranking, Offset and Aggregate Functions

After completing this module, you will be able to:

  • Describe the benefits to using window functions.
  • Restrict window functions to rows defined in an OVER clause, including partitions and frames.
  • Write queries which use window functions to operate on a window of rows and return ranking, aggregation and offset comparison results.

 

Module 12: Pivoting and Grouping Sets This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server.Lessons

  • Writing Queries with PIVOT and UNPIVOT
  • Working with Grouping Sets

Lab : Pivoting and Grouping Sets

After completing this module, you will be able to:

  • Write queries which pivot and unpivot result sets.
  • Write queries which specify multiple groupings with grouping sets.

 

 

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