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Querying Data with Transact-SQL

This course is designed to introduce students to Transact-SQL. It is designed in such a way that the first three days can be taught as a course to students requiring the knowledge for other courses in the SQL Server curriculum. Days 4 & 5 teach the remaining skills required to take exam 70-761.

AUDIENCE

The main purpose of the course is to give students a good understanding of the Transact-SQL language which is used by all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals.

SKILLS GAINED

  • Describe key capabilities and components of SQL Server.
  • Describe T-SQL, sets, and predicate logic.
  • Write a single table SELECT statement.
  • Write a multi-table SELECT statement.
  • Write SELECT statements with filtering and sorting.
  • Describe how SQL Server uses data types.
  • Write DML statements.
  • Write queries that use built-in functions.
  • Write queries that aggregate data.
  • Write subqueries.
  • Create and implement views and table-valued functions.
  • Use set operators to combine query results.
  • Write queries that use window ranking, offset, and aggregate functions.
  • Transform data by implementing pivot, unpivot, rollup and cube.
  • Create and implement stored procedures.
  • Add programming constructs such as variables, conditions, and loops to T-SQL code.

PREREQUISITES

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.

 

Product
Microsoft
Code
20761
Duration
5 Days
Price (baht)
20,000

About the course

COURSE OUTLINE

Module 1: Introduction to Microsoft SQL Server

This module introduces SQL Server, the versions of SQL Server, including cloud versions, and how to connect to SQL Server using SQL Server Management Studio.

Lessons

  • The Basic Architecture of SQL Server
  • SQL Server Editions and Versions
  • Getting Started with SQL Server Management Studio

Lab : Working with SQL Server Tools

  • Working with SQL Server Management Studio
  • Creating and Organizing T-SQL Scripts
  • Using Books Online

After completing this module, you will be able to:

  • Describe relational databases and Transact-SQL queries.
  • Describe the on-premise and cloud-based editions and versions of SQL Server.
  • Describe how to use SQL Server Management Studio (SSMS) to connect to an instance of SQL Server, explore the databases contained in the instance, and work with script files that contain T-SQL queries.

Module 2: Introduction to T-SQL Querying

This module describes the elements of T-SQL and their role in writing queries. Describe the use of sets in SQL Server. Describe the use of predicate logic in SQL Server. Describe the logical order of operations in SELECT statements.

Lessons

  • Introducing T-SQL
  • Understanding Sets
  • Understanding Predicate Logic
  • Understanding the Logical Order of Operations in SELECT statements

Lab : Introduction to T-SQL Querying

  • Executing Basic SELECT Statements
  • Executing Queries that Filter Data using Predicates
  • Executing Queries That Sort Data Using ORDER BY

After completing this module, you will be able to:

  • Describe the role of T-SQL in writing SELECT statements.
  • Describe the elements of the T-SQL language and which elements will be useful in writing queries.
  • Describe the concepts of the set theory, one of the mathematical underpinnings of relational databases, and to help you apply it to how you think about querying SQL Server
  • Describe predicate logic and examine its application to querying SQL Server.
  • Explain the elements of a SELECT statement, delineate the order in which the elements are evaluated, and then apply this understanding to a practical approach to writing queries.

Module 3: Writing SELECT Queries

This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

Lessons

  • Writing Simple SELECT Statements
  • Eliminating Duplicates with DISTINCT
  • Using Column and Table Aliases
  • Writing Simple CASE Expressions

Lab : Writing Basic SELECT Statements

  • Writing Simple SELECT Statements
  • Eliminating Duplicates Using DISTINCT
  • Using Column and Table Aliases
  • Using a Simple CASE Expression

After completing this module, you will be able to:

  • Describe the structure and format of the SELECT statement, as well as enhancements that will add functionality and readability to your queries
  • Describe how to eliminate duplicates using the DISTINCT clause
  • Describe the use of column and table aliases
  • Understand and use CASE expressions

Module 4: Querying Multiple Tables

This module describes how to write queries that combine data from multiple sources in Microsoft SQL Server.

Lessons

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

Lab : Querying Multiple Tables

  • Writing Queries that use Inner Joins
  • Writing Queries that use Multiple-Table Inner Joins
  • Writing Queries that use Self-Joins
  • Writing Queries that use Outer Joins
  • Writing Queries that use Cross Joins

After completing this module, you will be able to:

  • Explain the fundamentals of joins in SQL Server
  • Write inner join queries
  • Write queries that use outer joins
  • Use additional join types

Module 5: Sorting and Filtering Data

This module describes how to implement sorting and filtering.

Lessons

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

Lab : Sorting and Filtering Data

  • Writing Queries that Filter Data using a WHERE Clause
  • Writing Queries that Sort Data Using an ORDER BY Clause
  • Writing Queries that Filter Data Using the TOP Option
  • Write Queries that filter data using the OFFSET-FETCH clause

After completing this module, you will be able to:

  • Explain how to add an ORDER BY clause to your queries to control the order of rows displayed in your query’s output
  • Explain how to construct WHERE clauses to filter out rows that do not match the predicate.
  • Explain how to limit ranges of rows in the SELECT clause using a TOP option.
  • Explain how to limit ranges of rows using the OFFSET-FETCH option of an ORDER BY clause.
  • Explain how three-valued logic accounts for unknown and missing values, how SQL Server uses NULL to mark missing values, and how to test for NULL in your queries.

Module 6: Working with SQL Server Data Types

This module introduces the data types SQL Server uses to store data.

Lessons

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

Lab : Working with SQL Server Data Types

  • Writing Queries that Return Date and Time Data
  • Writing Queries that use Date and Time Functions
  • Writing Queries That Return Character Data
  • Writing Queries That Return Character Functions

After completing this module, you will be able to:

  • Explore many of the data types SQL Server uses to store data and how data types are converted between types
  • Explain the SQL Server character-based data types, how character comparisons work, and some common functions you may find useful in your queries
  • Describe data types that are used to store temporal data, how to enter dates and times so they will be properly parsed by SQL Server, and how to manipulate dates and times with built-in functions.

Module 7: Using DML to Modify Data

This module describes how to create DML queries, and why you would want to.

Lessons

  • Adding Data to Tables
  • Modifying and Removing Data
  • Generating automatic column values

Lab : Using DML to Modify Data

  • Inserting Records with DML
  • Updating and Deleting Records Using DML

After completing this module, you will be able to:

  • Use INSERT and SELECT INTO statements
  • Use UPDATE, MERGE, DELETE, and TRUNCATE.

Module 8: Using Built-In Functions

This module introduces some of the many built in functions in SQL Server.

Lessons

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

Lab : Using Built-In Functions

  • Writing Queries That Use Conversion Functions
  • Writing Queries that use Logical Functions
  • Writing Queries that Test for Nullability

After completing this module, you will be able to:

  • Describe the types of functions provided by SQL Server, and then focus on working with scalar functions
  • Explain how to explicitly convert data between types using several SQL Server functions
  • Describe how to use logical functions that evaluate an expression and return a scalar result.
  • Describe additional functions for working with NULL

Module 9: Grouping and Aggregating Data

This module describes how to use aggregate functions.

Lessons

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

Lab : Grouping and Aggregating Data

  • Writing Queries That Use the GROUP BY Clause
  • Writing Queries that Use Aggregate Functions
  • Writing Queries that Use Distinct Aggregate Functions
  • Writing Queries that Filter Groups with the HAVING Clause

After completing this module, you will be able to:

  • Describe the built-in aggregate function in SQL Server and write queries using it.
  • Write queries that separate rows using the GROUP BY clause.
  • Write queries that use the HAVING clause to filter groups.

Module 10: Using Subqueries

This module describes several types of subquery and how and when to use them.

Lessons

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

Lab : Using Subqueries

  • Writing Queries That Use Self-Contained Subqueries
  • Writing Queries That Use Scalar and Multi-Result Subqueries
  • Writing Queries That Use Correlated Subqueries and an EXISTS Clause

After completing this module, you will be able to:

  • Describe where subqueries may be used in a SELECT statement.
  • Write queries that use correlated subqueries in a SELECT statement
  • Write queries that use EXISTS predicates in a WHERE clause to test for the existence of qualifying rows
  • Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

Module 11: Using Table Expressions

Previously in this course, you learned about using subqueries as an expression that returned results to an outer calling query. Like subqueries, table expressions are query expressions, but table expressions extend this idea by allowing you to name them and to work with their results as you would work with data in any valid relational table. Microsoft SQL Server supports four types of table expressions: derived tables, common table expression (CTEs), views, and inline table-valued functions (TVFs). In this module, you will learn to work with these forms of table expressions and learn how to use them to help create a modular approach to writing queries.

Lessons

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

Lab : Using Table Expressions

  • Writing Queries That Use Views
  • Writing Queries That Use Derived Tables
  • Writing Queries That Use Common Table Expressions (CTEs)
  • Writing Queries That Use Inline Table-Valued Expressions (TVFs)

After completing this module, you will be able to:

  • Write queries that return results from views.
  • Use the CREATE FUNCTION statement to create simple inline TVFs.
  • Write queries that create and retrieve results from derived tables.
  • Write queries that create CTEs and return results from the table expression.

Module 12: Using Set Operators

This module introduces how to use 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

  • Writing Queries That Use UNION Set Operators and UNION ALL
  • Writing Queries That Use CROSS APPLY and OUTER APPLY Operators
  • Writing Queries That Use the EXCEPT and INTERSECT Operators

After completing this module, students will be able to:

  • Write queries that use UNION to combine input sets.
  • Write queries that use UNION ALL to combine input sets
  • Write queries that use the EXCEPT operator to return only rows in one set but not another.
  • Write queries that use the INTERSECT operator to return only rows that are present in both sets
  • Write queries using the CROSS APPLY operator.
  • Write queries using the OUTER APPLY operator

Module 13: Using Windows Ranking, Offset, and Aggregate Functions

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

Lessons

  • Creating Windows with OVER
  • Exploring Window Functions

Lab : Using Windows Ranking, Offset, and Aggregate Functions

  • Writing Queries that use Ranking Functions
  • Writing Queries that use Offset Functions
  • Writing Queries that use Window Aggregate Functions

After completing this module, students will be able to:

  • Describe the T-SQL components used to define windows, and the relationships between them.
  • Write queries that use the OVER clause, with partitioning, ordering, and framing to define windows
  • Write queries that use window aggregate functions.
  • Write queries that use window ranking functions.
  • Write queries that use window offset functions

Module 14: Pivoting and Grouping Sets

This module describes write queries that pivot and unpivot result sets. Write queries that specify multiple groupings with grouping sets

Lessons

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

Lab : Pivoting and Grouping Sets

  • Writing Queries that use the PIVOT Operator
  • Writing Queries that use the UNPIVOT Operator
  • Writing Queries that use the GROUPING SETS CUBE and ROLLUP Subclauses

After completing this module, students will be able to:

  • Describe how pivoting data can be used in T-SQL queries.
  • Write queries that pivot data from rows to columns using the PIVOT operator.
  • Write queries that unpivot data from columns back to rows using the UNPIVOT operator.
  • Write queries using the GROUPING SETS subclause.
  • Write queries that use ROLLUP AND CUBE.
  • Write queries that use the GROUPING_ID function.

Module 15: Executing Stored Procedures

This module describes how to return results by executing stored procedures. Pass parameters to procedures. Create simple stored procedures that encapsulate a SELECT statement. Construct and execute dynamic SQL with EXEC and sp_executesql.

Lessons

  • Querying Data with Stored Procedures
  • Passing Parameters to Stored procedures
  • Creating Simple Stored Procedures
  • Working with Dynamic SQL

Lab : Executing Stored Procedures

  • Using the EXECUTE statement to Invoke Stored Procedures
  • Passing Parameters to Stored procedures
  • Executing System Stored Procedures

After completing this module, students will be able to:

  • Describe stored procedures and their use.
  • Write T-SQL statements that execute stored procedures to return data.
  • Write EXECUTE statements that pass input parameters to stored procedures.
  • Write T-SQL batches that prepare output parameters and execute stored procedures.
  • Use the CREATE PROCEDURE statement to write a stored procedure.
  • Create a stored procedure that accepts input parameters.
  • Describe how T-SQL can be dynamically constructed.
  • Write queries that use dynamic SQL.

Module 16: Programming with T-SQL

This module describes how to enhance your T-SQL code with programming elements.

Lessons

  • T-SQL Programming Elements
  • Controlling Program Flow

Lab : Programming with T-SQL

  • Declaring Variables and Delimiting Batches
  • Using Control-Of-Flow Elements
  • Using Variables in a Dynamic SQL Statement
  • Using Synonyms

After completing this module, students will be able to:

  • Describe how Microsoft SQL Server treats collections of statements as batches.
  • Create and submit batches of T-SQL code for execution by SQL Server.
  • Describe how SQL Server stores temporary objects as variables.
  • Write code that declares and assigns variables.
  • Create and invoke synonyms
  • Describe the control-of-flow elements in T-SQL.
  • Write T-SQL code using IF…ELSE blocks.
  • Write T-SQL code that uses WHILE.

Module 17: Implementing Error Handling

This module introduces error handling for T-SQL.

Lessons

  • Implementing T-SQL error handling
  • Implementing structured exception handling

Lab : Implementing Error Handling

  • Redirecting errors with TRY/CATCH
  • Using THROW to pass an error message back to a client

After completing this module, students will be able to:

  • Implement T-SQL error handling.
  • Implement structured exception handling.

Module 18: Implementing Transactions

This module describes how to implement transactions.

Lessons

  • Transactions and the database engines
  • Controlling transactions

Lab : Implementing Transactions

  • Controlling transactions with BEGIN, COMMIT, and ROLLBACK
  • Adding error handling to a CATCH block

After completing this module, students will be able to:

  • Describe transactions and the differences between batches and transactions.
  • Describe batches and how they are handled by SQL Server.
  • Create and manage transactions with transaction control language (TCL) statements.
  • Use SET XACT_ABORT to define SQL Servers handling of transactions outside TRY/CATCH blocks.

Register for Training

Schedule

Start DateEnd DateDuration (days)PriceCode
6/10/20246/14/2024520,000AZ-204T00
7/15/20247/19/2024520,000AZ-204T00
8/5/20248/9/2024520,000AZ-204T00
9/2/20249/6/2024520,000AZ-204T00
10/7/202410/11/2024520,000AZ-204T00
11/4/202411/8/2024520,000AZ-204T00
12/9/202412/13/2024520,000AZ-204T00
6/6/20236/9/2023416,000AZ-220T00
7/24/20237/27/2023416,000AZ-220T00
8/15/20238/18/2023416,000AZ-220T00
9/5/20239/8/2023416,000AZ-220T00
10/9/202310/12/2023416,000AZ-220T00
11/7/202311/10/2023416,000AZ-220T00
12/12/202312/15/2023416,000AZ-220T00
6/4/20246/7/2024416,000AZ-400T00
7/23/20247/26/2024416,000AZ-400T00
8/13/20248/16/2024416,000AZ-400T00
9/10/20249/13/2024416,000AZ-400T00
10/8/202410/11/2024416,000AZ-400T00
11/5/202411/8/2024416,000AZ-400T00
12/10/202412/13/2024416,000AZ-400T00
6/10/20246/14/2024520,000AZ-040T00
7/8/20247/12/2024520,000AZ-040T00
8/5/20248/9/2024520,000AZ-040T00
9/2/20249/6/2024520,000AZ-040T00
10/7/202410/11/2024520,000AZ-040T00
11/4/202411/8/2024520,000AZ-040T00
12/9/202412/13/2024520,000AZ-040T00
6/25/20246/28/2024416,000AZ-104T00(T)
7/9/20247/12/2024416,000AZ-104T00(T)
8/6/20248/9/2024416,000AZ-104T00(T)
9/10/20249/13/2024416,000AZ-104T00(T)
10/15/202410/18/2024416,000AZ-104T00(T)
11/5/202411/8/2024416,000AZ-104T00(T)
12/10/202412/13/2024416,000AZ-104T00(T)
6/10/20246/12/2024312,000AZ-120T00
7/15/20247/17/2024312,000AZ-120T00
8/13/20248/15/2024312,000AZ-120T00
9/11/20249/13/2024312,000AZ-120T00
10/15/202410/17/2024312,000AZ-120T00
11/11/202411/13/2024312,000AZ-120T00
12/11/202412/13/2024312,000AZ-120T00
6/25/20246/28/2024416,000AZ-140T00
7/23/20247/26/2024416,000AZ-140T00
8/20/20248/23/2024416,000AZ-140T00
9/17/20249/20/2024416,000AZ-140T00
10/28/202410/31/2024416,000AZ-140T00
11/19/202411/22/2024416,000AZ-140T00
12/17/202412/20/2024416,000AZ-140T00
6/4/20246/7/2024416,000AZ-305T00
7/16/20247/19/2024416,000AZ-305T00
8/13/20248/16/2024416,000AZ-305T00
9/10/20249/13/2024416,000AZ-305T00
10/8/202410/11/2024416,000AZ-305T00
11/12/202411/15/2024416,000AZ-305T00
12/10/202412/13/2024416,000AZ-305T00
6/6/20236/9/2023416,000AZ-600T00
7/24/20237/27/2023416,000AZ-600T00
8/15/20238/18/2023416,000AZ-600T00
9/5/20239/8/2023416,000AZ-600T00
10/9/202310/12/2023416,000AZ-600T00
11/7/202311/10/2023416,000AZ-600T00
12/12/202312/15/2023416,000AZ-600T00
6/5/20246/7/2024312,000AZ-700T00
7/10/20247/12/2024312,000AZ-700T00
8/7/20248/9/2024312,000AZ-700T00
9/4/20249/6/2024312,000AZ-700T00
10/2/202410/4/2024312,000AZ-700T00
11/6/202411/8/2024312,000AZ-700T00
12/11/202412/13/2024312,000AZ-700T00
6/7/20236/9/2023312,000AZ-720T00
7/12/20237/14/2023312,000AZ-720T00
8/2/20238/4/2023312,000AZ-720T00
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10/4/202310/6/2023312,000AZ-720T00
11/1/202311/3/2023312,000AZ-720T00
12/6/202312/8/2023312,000AZ-720T00
6/4/20246/7/2024416,000AZ-800T00(T)
7/16/20247/19/2024416,000AZ-800T00(T)
8/13/20248/16/2024416,000AZ-800T00(T)
9/10/20249/13/2024416,000AZ-800T00(T)
10/8/202410/11/2024416,000AZ-800T00(T)
11/12/202411/15/2024416,000AZ-800T00(T)
12/10/202412/13/2024416,000AZ-800T00(T)
6/18/20246/21/2024416,000AZ-801T00
7/23/20247/26/2024416,000AZ-801T00
8/20/20248/23/2024416,000AZ-801T00
9/17/20249/20/2024416,000AZ-801T00
10/28/202410/31/2024416,000AZ-801T00
11/19/202411/22/2024416,000AZ-801T00
12/17/202412/20/2024416,000AZ-801T00
6/10/20246/10/202414,000AZ-900T00(T)
7/19/20247/19/202414,000AZ-900T00(T)
8/19/20248/19/202414,000AZ-900T00(T)
9/9/20249/9/202414,000AZ-900T00(T)
10/7/202410/7/202414,000AZ-900T00(T)
11/11/202411/11/202414,000AZ-900T00(T)
12/9/202412/9/202414,000AZ-900T00(T)
6/4/20246/7/2024416,000AI-102T00
7/16/20247/19/2024416,000AI-102T00
8/13/20248/16/2024416,000AI-102T00
9/10/20249/13/2024416,000AI-102T00
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11/12/202411/15/2024416,000AI-102T00
12/10/202412/13/2024416,000AI-102T00
6/10/20246/10/202414,000AI-900T00
7/8/20247/8/202414,000AI-900T00
8/13/20248/13/202414,000AI-900T00
9/6/20249/6/202414,000AI-900T00
10/7/202410/7/202414,000AI-900T00
11/4/202411/4/202414,000AI-900T00
12/9/202412/9/202414,000AI-900T00
6/6/20246/7/202428,000DP-080T00
7/8/20247/9/202428,000DP-080T00
8/5/20248/6/202428,000DP-080T00
9/9/20249/10/202428,000DP-080T00
10/7/202410/8/202428,000DP-080T00
11/14/202411/15/202428,000DP-080T00
12/9/202412/10/202428,000DP-080T00
6/5/20246/7/2024312,000DP-100T01
7/3/20247/5/2024312,000DP-100T01
8/7/20248/9/2024312,000DP-100T01
9/4/20249/6/2024312,000DP-100T01
10/2/202410/4/2024312,000DP-100T01
11/6/202411/8/2024312,000DP-100T01
12/11/202412/13/2024312,000DP-100T01
6/18/20246/21/2024416,000DP-300T00(T)
7/23/20247/26/2024416,000DP-300T00(T)
8/20/20248/23/2024416,000DP-300T00(T)
9/17/20249/20/2024416,000DP-300T00(T)
10/28/202410/31/2024416,000DP-300T00(T)
11/19/202411/22/2024416,000DP-300T00(T)
12/17/202412/20/2024416,000DP-300T00(T)
6/18/20246/21/2024416,000DP-420T00
7/16/20247/19/2024416,000DP-420T00
8/20/20248/23/2024416,000DP-420T00
9/17/20249/20/2024416,000DP-420T00
10/15/202410/18/2024416,000DP-420T00
11/12/202411/15/2024416,000DP-420T00
12/17/202412/20/2024416,000DP-420T00
520,000MD-100T00
520,000MD-101T00
6/24/20246/28/2024520,000MD-102T00(T)
7/8/20247/12/2024520,000MD-102T00(T)
8/19/20248/23/2024520,000MD-102T00(T)
9/23/20249/27/2024520,000MD-102T00(T)
10/7/202410/11/2024520,000MD-102T00(T)
11/25/202411/29/2024520,000MD-102T00(T)
12/23/202412/27/2024520,000MD-102T00(T)
520,000MS-100T00
520,000MS-101T00
6/17/20246/21/2024520,000MS-102T00(T)
7/15/20247/19/2024520,000MS-102T00(T)
8/26/20248/30/2024520,000MS-102T00(T)
9/23/20249/27/2024520,000MS-102T00(T)
10/7/202410/11/2024520,000MS-102T00(T)
11/25/202411/29/2024520,000MS-102T00(T)
12/23/202412/27/2024520,000MS-102T00(T)
6/10/20246/14/2024520,000MS-203T00
320,000MS-220T00
6/11/20246/14/2024416,000MS-600T00
6/4/20246/7/2024416,000MS-700T00(T)
7/23/20247/26/2024416,000MS-700T00(T)
8/13/20248/16/2024416,000MS-700T00(T)
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10/15/202410/18/2024416,000MS-700T00(T)
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10/16/202410/18/2024332,400AWS-DWA
11/20/202411/22/2024332,400AWS-DWA
12/18/202412/20/2024332,400AWS-DWA
10,800AWS-BLK
10,800AWS-BDA
10,800AWS-BBD
10,800AWS-BSD
21,600AWS-AVA
8/28/20248/30/2024332,400AWS-PDD
9/25/20249/27/2024332,400AWS-PDD
10/28/202410/30/2024332,400AWS-PDD
11/20/202411/22/2024332,400AWS-PDD
12/25/202412/27/2024332,400AWS-PDD
8/21/20248/23/2024332,400AWS-DEV
9/18/20249/20/2024332,400AWS-DEV
10/16/202410/18/2024332,400AWS-DEV
11/20/202411/22/2024332,400AWS-DEV
12/18/202412/200/2024332,400AWS-DEV
32,400AWS-ADE
8/28/20248/30/2024332,400AWS-DOP
9/25/20249/27/2024332,400AWS-DOP
10/28/202410/30/2024332,400AWS-DOP
11/20/202411/22/2024332,400AWS-DOP
12/25/202412/27/2024332,400AWS-DOP
8/26/20248/26/2024110,800AWS-DEL
9/17/20249/17/2024110,800AWS-DEL
10/15/202410/15/2024110,800AWS-DEL
11/19/202411/19/2024110,800AWS-DEL
8/27/20248/29/2024332,400AWS-MLE
9/18/20249/20/2024332,400AWS-MLE
10/16/202410/18/2024332,400AWS-MLE
11/20/202411/22/2024332,400AWS-MLE
10,800AWS-PDS
43,200AWS-MLP
32,400AWS-SSD
21,600AWS-VSE
6/21/20246/21/2024110,800AWS-MES
7/1/20247/1/2024110,800AWS-MES
8/5/20248/5/2024110,800AWS-MES
9/16/20249/16/2024110,800AWS-MES
10/15/202410/15/2024110,800AWS-MES
11/15/202411/15/2024110,800AWS-MES
12/16/202412/16/2024110,800AWS-MES
6/19/20246/21/2024332,400AWS-MGA
8/7/20248/9/2024332,400AWS-MGA
10/16/202410/18/2024332,400AWS-MGA
6/21/20246/21/2024110,800AWS-SES
7/19/20247/19/2024110,800AWS-SES
8/20/20248/20/2024110,800AWS-SES
9/16/20249/16/2024110,800AWS-SES
10/15/202410/15/2024110,800AWS-SES
11/15/202411/15/2024110,800AWS-SES
12/16/202412/16/2024110,800AWS-SES
8/28/20248/30/2024332,400AWS-SEN
9/25/20249/27/2024332,400AWS-SEN
10/28/202410/30/2024332,400AWS-SEN
11/20/202411/22/2024332,400AWS-SEN
12/25/202412/27/2024332,400AWS-SEN
10,800AWS-SGS
10,800AWS-SBP
6/18/20246/18/2024110,800AWS-TES(T)
7/15/20247/15/2024110,800AWS-TES(T)
8/19/20248/19/2024110,800AWS-TES(T)
8/27/20248/27/2024110,800AWS-TES(T)
9/19/20249/19/2024110,800AWS-TES(T)
10/17/202410/17/2024110,800AWS-TES(T)
11/7/202411/7/2024110,800AWS-TES(T)
12/10/202412/10/2024110,800AWS-TES(T)
6/10/20246/12/2024342,300D1101651GC10
7/3/20247/5/2024342,300D1101651GC10
8/7/20248/9/2024342,300D1101651GC10
9/4/20249/6/2024342,300D1101651GC10
10/2/202410/4/2024342,300D1101651GC10
11/6/202411/8/2024342,300D1101651GC10
12/11/202412/13/2024342,300D1101651GC10
6/10/20246/14/2024556,500D107509GC10
7/1/20247/5/2024556,500D107509GC10
8/5/20248/9/2024556,500D107509GC10
9/2/20249/6/2024556,500D107509GC10
9/30/202410/4/2024556,500D107509GC10
11/4/202411/8/2024556,500D107509GC10
12/9/202412/13/2024556,500D107509GC10
6/17/20246/21/2024556,500D107511GC10
7/15/20247/19/2024556,500D107511GC10
8/19/20248/23/2024556,500D107511GC10
9/9/20249/13/2024556,500D107511GC10
10/7/202410/11/2024556,500D107511GC10
11/11/202411/15/2024556,500D107511GC10
12/16/202412/20/2024556,500D107511GC10
6/24/20246/28/2024556,500D108103GC20
7/15/20247/19/2024556,500D108103GC20
8/26/20248/30/2024556,500D108103GC20
9/16/20249/20/2024556,500D108103GC20
10/28/202411/1/2024556,500D108103GC20
11/18/202411/22/2024556,500D108103GC20
12/23/202412/27/2024556,500D108103GC20
6/18/20246/21/2024456,400D108654GC10
7/9/20247/12/2024456,400D108654GC10
8/13/20248/16/2024456,400D108654GC10
9/10/20249/13/2024456,400D108654GC10
10/15/202410/18/2024456,400D108654GC10
11/12/202411/15/2024456,400D108654GC10
12/10/202412/13/2024456,400D108654GC10
556,500D78848GC20
6/25/20246/28/2024456,400D108634GC10
7/23/20247/26/2024456,400D108634GC10
8/20/20248/23/2024456,400D108634GC10
9/17/20249/20/2024456,400D108634GC10
10/15/202410/18/2024456,400D108634GC10
11/19/202411/22/2024456,400D108634GC10
12/17/202412/20/2024456,400D108634GC10
6/4/20246/5/2024236,900D108638GC10
7/1/20247/2/2024236,900D108638GC10
8/1/20248/2/2024236,900D108638GC10
9/2/20249/3/2024236,900D108638GC10
9/30/202410/1/2024236,900D108638GC10
11/4/202411/5/2024236,900D108638GC10
12/2/202412/3/2024236,900D108638GC10
6/10/20246/14/2024570,500D108774GC20
7/8/20247/12/2024570,500D108774GC20
8/5/20248/9/2024570,500D108774GC20
9/9/20249/13/2024570,500D108774GC20
10/7/202410/11/2024570,500D108774GC20
11/18/202411/22/2024570,500D108774GC20
12/16/202412/20/2024570,500D108774GC20
6/24/20246/28/2024570,500D108630GC10
7/15/20247/19/2024570,500D108630GC10
8/26/20248/30/2024570,500D108630GC10
9/23/20249/27/2024570,500D108630GC10
10/28/202411/1/2024570,500D108630GC10
11/25/202411/29/2024570,500D108630GC10
12/23/202412/27/2024570,500D108630GC10
6/24/20246/28/2024570,500D110148GC10
7/15/20247/19/2024570,500D110148GC10
8/26/20248/30/2024570,500D110148GC10
9/23/20249/27/2024570,500D110148GC10
10/28/202411/1/2024570,500D110148GC10
11/25/202411/29/2024570,500D110148GC10
12/16/202412/20/2024570,500D110148GC10
6/10/20246/10/202412,500OF-19-NF(T)
7/8/20247/8/202412,500OF-19-NF(T)
8/13/20248/13/202412,500OF-19-NF(T)
9/6/20249/6/202412,500OF-19-NF(T)
10/7/202410/7/202412,500OF-19-NF(T)
11/4/202411/4/202412,500OF-19-NF(T)
12/6/202412/6/202412,500OF-19-NF(T)
6/13/20246/14/202425,000WD-19-01(T)
7/8/20247/9/202425,000WD-19-01(T)
8/5/20248/6/202425,000WD-19-01(T)
9/23/20249/24/202425,000WD-19-01(T)
10/15/202410/16/202425,000WD-19-01(T)
11/14/202411/15/202425,000WD-19-01(T)
12/9/202412/10/202425,000WD-19-01(T)
6/20/20246/21/202425,000WD-19-02(T)
7/18/20247/19/202425,000WD-19-02(T)
8/19/20248/20/202425,000WD-19-02(T)
9/23/20249/24/202425,000WD-19-02(T)
10/17/202410/18/202425,000WD-19-02(T)
11/18/202411/19/202425,000WD-19-02(T)
12/19/202412/20/202425,000WD-19-02(T)
6/13/20246/14/202425,000EX-19-01(T)
7/8/20247/9/202425,000EX-19-01(T)
8/5/20248/6/202425,000EX-19-01(T)
9/23/20249/24/202425,000EX-19-01(T)
10/15/202410/16/202425,000EX-19-01(T)
11/14/202411/15/202425,000EX-19-01(T)
12/9/202412/10/202425,000EX-19-01(T)
6/20/20246/21/202425,000EX-19-02(T)
7/18/20247/19/202425,000EX-19-02(T)
8/19/20248/20/202425,000EX-19-02(T)
9/23/20249/24/202425,000EX-19-02(T)
10/17/202410/18/202425,000EX-19-02(T)
11/18/202411/19/202425,000EX-19-02(T)
12/19/202412/20/202425,000EX-19-02(T)
6/24/20246/24/202412,500EX-19-03(T)
7/23/20247/23/202412,500EX-19-03(T)
8/26/20248/26/202412,500EX-19-03(T)
9/23/20249/23/202412,500EX-19-03(T)
10/25/202410/25/202412,500EX-19-03(T)
11/25/202411/25/202412,500EX-19-03(T)
12/23/202412/23/202412,500EX-19-03(T)
6/11/20246/12/202425,000PP-19-01(T)
7/8/20247/9/202425,000PP-19-01(T)
8/5/20248/6/202425,000PP-19-01(T)
9/9/20249/10/202425,000PP-19-01(T)
10/7/202410/8/202425,000PP-19-01(T)
11/4/202411/5/202425,000PP-19-01(T)
12/9/202412/10/202425,000PP-19-01(T)
6/13/20246/14/202425,000PP-19-02(T)
7/18/20247/19/202425,000PP-19-02(T)
8/19/20248/20/202425,000PP-19-02(T)
9/16/20249/17/202425,000PP-19-02(T)
10/15/202410/16/202425,000PP-19-02(T)
11/14/202411/15/202425,000PP-19-02(T)
12/19/202412/20/202425,000PP-19-02(T)
6/5/20246/7/202437,500PJ-19-US(T)
7/3/20247/5/202437,500PJ-19-US(T)
8/7/20248/9/202437,500PJ-19-US(T)
9/4/20249/6/202437,500PJ-19-US(T)
10/2/202410/4/202437,500PJ-19-US(T)
11/6/202411/8/202437,500PJ-19-US(T)
12/2/202412/4/202437,500PJ-19-US(T)
6/24/20246/24/202412,500OL-19-01(T)
7/23/20247/23/202412,500OL-19-01(T)
8/26/20248/26/202412,500OL-19-01(T)
9/23/20249/23/202412,500OL-19-01(T)
10/25/202410/25/202412,500OL-19-01(T)
11/25/202411/25/202412,500OL-19-01(T)
12/23/202412/23/202412,500OL-19-01(T)
456,400D101287GC10
6/4/20246/7/2024449,000D90871GC20
7/2/20247/5/2024449,000D90871GC20
8/13/20248/16/2024449,000D90871GC20
9/10/20249/13/2024449,000D90871GC20
10/1/202410/4/2024449,000D90871GC20
11/5/202411/8/2024449,000D90871GC20
12/10/202412/13/2024449,000D90871GC20
556,500D66376GC51
6/17/20246/21/2024556,500D61762GC51
7/1/20247/5/2024556,500D61762GC51
8/5/20248/9/2024556,500D61762GC51
9/16/20249/20/2024556,500D61762GC51
10/7/202410/11/2024556,500D61762GC51
11/11/202411/15/2024556,500D61762GC51
12/16/202412/20/2024556,500D61762GC51
6/25/20246/28/2024449,000D109197GC10
7/9/20247/12/2024449,000D109197GC10
8/13/20248/16/2024449,000D109197GC10
9/10/20249/13/2024449,000D109197GC10
10/1/202410/4/2024449,000D109197GC10
11/5/202411/8/2024449,000D109197GC10
12/10/202412/13/2024449,000D109197GC10
6/17/20246/21/2024556,500D66378GC50
7/15/20247/19/2024556,500D66378GC50
8/19/20248/23/2024556,500D66378GC50
9/16/20249/20/2024556,500D66378GC50
10/28/202411/1/2024556,500D66378GC50
11/18/202411/22/2024556,500D66378GC50
12/23/202412/27/2024556,500D66378GC50
6/27/20246/28/2024236,900D108463GC10
7/30/20247/31/2024236,900D108463GC10
8/29/20248/30/2024236,900D108463GC10
9/23/20249/24/2024236,900D108463GC10
10/24/202410/25/2024236,900D108463GC10
11/28/202411/29/2024236,900D108463GC10
12/23/202412/24/2024236,900D108463GC10
6/10/20246/14/2024556,500D1103970GC10
7/1/20247/5/2024556,500D1103970GC10
8/5/20248/9/2024556,500D1103970GC10
9/2/20249/6/2024556,500D1103970GC10
9/30/202410/4/2024556,500D1103970GC10
11/4/202411/8/2024556,500D1103970GC10
12/9/202412/13/2024556,500D1103970GC10
6/10/20246/14/2024556,500D107122GC10
7/1/20247/5/2024556,500D107122GC10
8/5/20248/9/2024556,500D107122GC10
9/2/20249/6/2024556,500D107122GC10
9/30/202410/4/2024556,500D107122GC10
11/4/202411/8/2024556,500D107122GC10
12/9/202412/13/2024556,500D107122GC10
6/17/20246/21/2024556,500D83529GC10
7/8/20247/12/2024556,500D83529GC10
8/19/20248/23/2024556,500D83529GC10
9/9/20249/13/2024556,500D83529GC10
10/7/202410/11/2024556,500D83529GC10
11/11/202411/15/2024556,500D83529GC10
12/16/202412/20/2024556,500D83529GC10
6/24/20246/28/2024556,500D84840GC10
7/15/20247/19/2024556,500D84840GC10
8/26/20248/30/2024556,500D84840GC10
9/16/20249/20/2024556,500D84840GC10
10/28/202411/1/2024556,500D84840GC10
11/18/202411/22/2024556,500D84840GC10
12/23/202412/27/2024556,500D84840GC10
6/20/20246/21/2024236,900D80897GC10
7/8/20247/9/2024236,900D80897GC10
8/19/20248/20/2024236,900D80897GC10
9/16/20249/17/2024236,900D80897GC10
10/7/202410/8/2024236,900D80897GC10
11/14/202411/15/2024236,900D80897GC10
12/19/202412/20/2024236,900D80897GC10
6/17/20246/19/2024342,300D108305GC30
7/23/20247/25/2024342,300D108305GC30
8/21/20248/23/2024342,300D108305GC30
9/25/20249/27/2024342,300D108305GC30
10/28/202410/30/2024342,300D108305GC30
11/20/202411/22/2024342,300D108305GC30
12/25/202412/27/2024342,300D108305GC30
6/5/20246/7/2024342,300D85767GC20
7/3/20247/5/2024342,300D85767GC20
8/7/20248/9/2024342,300D85767GC20
9/4/20249/6/2024342,300D85767GC20
10/2/202410/4/2024342,300D85767GC20
11/6/202411/8/2024342,300D85767GC20
12/2/202412/4/2024342,300D85767GC20
6/10/20246/12/2024342,300D82658GC20
7/10/20247/12/2024342,300D82658GC20
8/13/20248/15/2024342,300D82658GC20
9/11/20249/13/2024342,300D82658GC20
10/9/202410/11/2024342,300D82658GC20
11/11/202411/13/2024342,300D82658GC20
12/11/202412/13/2024342,300D82658GC20
6/10/20246/14/2024556,500D80151GC30
7/1/20247/5/2024556,500D80151GC30
8/5/20248/9/2024556,500D80151GC30
9/2/20249/6/2024556,500D80151GC30
10/7/202410/11/2024556,500D80151GC30
11/4/202411/8/2024556,500D80151GC30
12/9/202412/13/2024556,500D80151GC30
6/24/20246/28/2024556,500D80155GC30
7/15/20247/19/2024556,500D80155GC30
8/19/20248/23/2024556,500D80155GC30
9/16/20249/20/2024556,500D80155GC30
10/28/202411/1/2024556,500D80155GC30
11/18/202411/22/2024556,500D80155GC30
12/23/202412/27/2024556,500D80155GC30
6/17/20246/19/2024342,300D83173GC30
7/23/20247/25/2024342,300D83173GC30
8/13/20248/15/2024342,300D83173GC30
9/11/20249/13/2024342,300D83173GC30
10/15/202410/17/2024342,300D83173GC30
11/11/202411/13/2024342,300D83173GC30
12/16/202412/18/2024342,300D83173GC30
6/27/20246/28/2024236,900D83177GC30
7/18/20247/19/2024236,900D83177GC30
8/19/20248/20/2024236,900D83177GC30
9/16/20249/17/2024236,900D83177GC30
10/31/202411/1/2024236,900D83177GC30
11/18/202411/19/2024236,900D83177GC30
12/23/202412/24/2024236,900D83177GC30
6/10/20246/14/2024596,500D100928GC20
7/1/20247/5/2024596,500D100928GC20
8/5/20248/9/2024596,500D100928GC20
9/2/20249/6/2024596,500D100928GC20
10/7/202410/11/2024596,500D100928GC20
11/4/202411/8/2024596,500D100928GC20
12/9/202412/13/2024596,500D100928GC20
6/17/20246/21/2024596,500D95507GC20(T)
7/8/20247/12/2024596,500D95507GC20(T)
8/19/20248/23/2024596,500D95507GC20(T)
9/9/20249/13/2024596,500D95507GC20(T)
10/7/202410/11/2024596,500D95507GC20(T)
11/11/202411/15/2024596,500D95507GC20(T)
12/16/202412/20/2024596,500D95507GC20(T)
6/24/20246/28/2024596,500D95503GC10
7/15/20247/19/2024596,500D95503GC10
8/26/20248/30/2024596,500D95503GC10
9/16/20249/20/2024596,500D95503GC10
10/28/202411/1/2024596,500D95503GC10
11/18/202411/22/2024596,500D95503GC10
12/23/202412/27/2024596,500D95503GC10
6/24/20246/26/2024355,350D1104288GC10
7/23/20247/25/2024355,350D1104288GC10
8/26/20248/28/2024355,350D1104288GC10
9/25/20249/27/2024355,350D1104288GC10
10/28/202410/30/2024355,350D1104288GC10
11/25/202411/27/2024355,350D1104288GC10
12/25/202412/27/2024355,350D1104288GC10
6/10/20246/14/2024556,500D1101679GC10
7/1/20247/5/2024556,500D1101679GC10
8/5/20248/9/2024556,500D1101679GC10
9/2/20249/6/2024556,500D1101679GC10
10/7/202410/11/2024556,500D1101679GC10
11/4/202411/8/2024556,500D1101679GC10
12/9/202412/13/2024556,500D1101679GC10
6/24/20246/28/2024556,500D1101997GC10
7/15/20247/19/2024556,500D1101997GC10
8/19/20248/23/2024556,500D1101997GC10
9/16/20249/20/2024556,500D1101997GC10
10/28/202411/1/2024556,500D1101997GC10
11/18/202411/22/2024556,500D1101997GC10
12/23/202412/27/2024556,500D1101997GC10
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11/12/202411/15/2024416,000DP-203T00
12/10/202412/13/2024416,000DP-203T00

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