3399 zł netto
KLUCZOWE ZAGADNIENIA
- podstawy T-SQL – od prostych zapytań do bardziej zaawansowanych
- modyfikacje w danych – dodaj, zamień, usuń
- wykorzystanie funkcji okna OVER()
- konstrukcje zaawansowane – PIVOT I UNPIVOT, CTE, GROUPING SETS
- kontrola przepływu danych i obsługa błędów
- poziomy izolacji i obsługa transakcji
Bartosz Ratajczyk, Microsoft Certified Trainer
CERTYFIKACJE ZAWODOWE
| Certyfikacja podstawowa |
CertyfIkacja specjalistyczna |
Certyfikacja ekspercka |
| FUNDAMENTALS |
ASSOCIATE |
EXPERT |
Tematyka szkolenia pokrywa zagadnienia wymagane na ścieżce MCSA: SQL Server 2012
Dowiedz się więcej o certyfikacjach Microsoft
POZIOM SZKOLENIA
| podstawowy |
średniozaawansowany |
zaawansowany |
ekspercki |
| 100 |
200 |
300 |
400 |
TEMATYKA ZAJĘĆ
- Module 1: Introduction to Microsoft SQL Server 2014
The Basic Architecture of SQL Server
SQL Server Editions and Versions
Getting Started with SQL Server Management Studio
Lab: Working with SQL Server 2014 Tools
- Module 2: Introduction to T-SQL Querying
Introducing T-SQL
Understanding Sets
Understanding Predicate Logic
Understanding the Logical Order of Operations in SELECT statements
Lab: Introduction to Transact-SQL Querying
- Module 3: Writing SELECT Queries
Writing Simple SELECT Statements
Eliminate Duplicates with DISTINCT
Using Column and Table Aliases
Write Simple CASE Expressions
Lab: Writing Basic SELECT Statements
- Module 4: Querying Multiple Tables
Understanding Joins
Querying with Inner Joins
Querying with Outer Joins
Querying with Cross Joins and Self Joins
Lab: Querying Multiple Tables
- Module 5: Sorting and Filtering Data
Sorting Data
Filtering Data with Predicates
Filtering with the TOP and OFFSET-FETCH
Working with Unknown Values
Lab: Sorting and Filtering Data
- Module 6: Working with SQL Server 2014 Data Types
Introducing SQL Server 2014 Data Types
Working with Character Data
Working with Date and Time Data
Lab: Working with SQL Server 2014 Data Types
- Module 7: Using DML to Modify Data
Inserting Data
Modifying and Deleting Data
Lab: Using DML to Modify Data
- Module 8: Using Built-In Functions
Writing Queries with Built-In Functions
Using Conversion Functions
Using Logical Functions
Using Functions to Work with NULL
Lab: Using Built-In Functions
- Module 9: Grouping and Aggregating Data
Using Aggregate Functions
Using the GROUP BY Clause
Filtering Groups with HAVING
Lab: Grouping and Aggregating Data
- Module 10: Using Subqueries
Writing Self-Contained Subqueries
Writing Correlated Subqueries
Using the EXISTS Predicate with Subqueries
Lab: Using Subqueries
- Module 11: Using Table Expressions
Using Views
Using Inline Table-Valued Functions
Using Derived Tables
Using Common Table Expressions
Lab: Using Table Expressions
- Module 12: Using Set Operators
Writing Queries with the UNION Operator
Using EXCEPT and INTERSECT
Using APPLY
Lab: Using Set Operators
- Module 13: Using Window Ranking, Offset, and Aggregate Functions
Creating Windows with OVER
Exploring Window Functions
Lab: Using Window Ranking, Offset and Aggregate Functions
- Module 14: Pivoting and Grouping Sets
Writing Queries with PIVOT and UNPIVOT
Working with Grouping Sets
Lab: Pivoting and Grouping Sets
- Module 15: Querying data with Stored Procedures
Writing Queries with PIVOT and UNPIVOT
Passing Parameters to Stored Procedures
Creating Simple Stored Procedures
Working with Dynamic SQL
Lab: Executing Stored Procedures
- Module 16: Programming with T-SQL
T-SQL Programming Elements
Controlling Program Flow
Lab: Programming with T-SQL
- Module 17: Implementing Error Handling
Using TRY / CATCH Blocks
Working with Error Information
Lab: Implementing Error Handling
- Module 18: Implementing Transactions
Transactions and the Database Engine
Controlling Transactions
Lab: Implementing Transactions
- Module 19: Appendix 1: Improving Query Performance
Factors in Query Performance
Displaying Query Performance Data
Lab: Improving Query Performance
- Module 20: Appendix 2: Querying SQL Server Metadata
Querying System Catalog Views and Functions
Executing System Stored Procedures
Querying Dynamic Management Objects
Lab: Querying SQL Server Metadata