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SQL Programming Language: A Comprehensive Hands-On Introduction

Course: 925   Type: Hands-On   Duration: 3 Days
Quick Enrol  

You Will Learn How To

  • Write SQL code based on ANSI/ISO standards to build and maintain database structures
  • Update database content with SQL and transaction handling
  • Retrieve data from single or multiple tables
  • Process data with row and aggregate functions
  • Manipulate data with correlated and non-correlated subqueries
  • Apply views to break down problems and enhance security

Course Benefits
SQL forms the cornerstone of all relational database operations. The ability to write the SQL language is essential for those who develop database applications. This course provides a solid foundation of the SQL programming language that enables you to build, query and manipulate databases. Working in Oracle 10g or SQL Server throughout this course, you compare the ANSI/ISO standard with the SQL implementations of these two common database products.

Who Should Attend
This course is valuable for anyone who needs to learn SQL programming. An understanding of relational database and basic programming concepts is helpful.

Hands-on Training
In this course, you gain hands-on experience programming with SQL in Oracle Database 10g and Microsoft SQL Server 2005 environments. Exercises include:
  • Creating and modifying tables, constraints and indexes
  • Modifying table contents
  • Retrieving data from tables
  • Joining multiple tables
  • Applying row and aggregate functions
  • Embedding subqueries within statements

Course Content
SQL Overview
  • Outlining the importance of SQL as the cornerstone of all database activity
  • Applying the ANSI/ISO standards
  • Describing the fundamental building blocks: tables, columns, primary keys and foreign keys
  • Defining terminology
Building the Database Schema
Creating tables and columns
  • Comparing data types across platforms
  • Building tables with CREATE TABLE
  • Modifying table structure with ALTER TABLE
  • Adding columns to an existing table
  • Increasing column size
  • Removing tables with DROP TABLE
Protecting data integrity with constraints
  • Defining constraint types
  • Guaranteeing uniqueness with primary key constraints
  • Enforcing referential integrity with foreign key constraints
  • Imposing business rules with check constraints
  • Enabling and disabling constraints
  • Removing constraints with ALTER TABLE
Improving performance with indexes
  • Expediting data retrieval with indexes
  • Recommending guidelines for index creation
Manipulating Data
Modifying table contents
  • Adding table rows with INSERT
  • Changing row content with UPDATE
  • Removing rows with DELETE
Applying transactions
  • Atomic Consistent Isolated Durable (ACID) rules
  • Controlling transactions with COMMIT and ROLLBACK
Writing Single Table Queries
  • Retrieving data with SELECT
  • Including columns and expressions in query results
  • Restricting rows with the WHERE filter
  • Sorting the result with ORDER BY
  • Handling NULL values in expressions
  • Avoiding NULL value pitfalls in filter conditions
Querying Multiple Tables
Applying the ANSI/ISO standard join syntax
  • Matching related rows with INNER JOIN
  • Including non-matched rows with OUTER JOIN
  • Creating a Cartesian product with CROSS JOIN
  • Joining a table to itself
Combining results with set operators
  • Stacking results with UNION
  • Identifying matching rows with INTERSECT
  • Utilising EXCEPT to find non-matching rows
Employing Functions in Data Retrieval
Processing data with row functions
  • Solving mathematical problems with functions
  • Manipulating text strings
  • Converting date/time presentation
  • Conditional formatting with the CASE expression
  • Utilising the CASE expression to simulate IF tests
  • Dealing with NULL values
Performing analysis with aggregate functions
  • Summarising data using SUM, AVG and COUNT
  • Finding the highest and lowest values with MAX and MIN
  • Defining the summary level with GROUP BY
  • Applying filter conditions with HAVING
Constructing Nested Queries
Applying subqueries in filter conditions
  • Correlated vs. non-correlated subqueries
  • Embedding subqueries in several levels
  • Testing the existence of rows
  • Single row vs. multirow subqueries
Including subqueries in expressions
  • Placing subqueries in the column list
  • Creating complex expressions containing subqueries
  • Handling subqueries that return no rows
Developing In-Line and Stored Views
Breaking down complex problems
  • Selecting data from a query result set
  • Subqueries in the FROM clause
Creating views in a database
  • Building reusable code
  • Refining user access privileges

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Course participants writing an ANSI/ISO SELECT statement.

£ 1,395 - Standard Tuition
Savings Plans
£ 810 - 10-Day Training Pass
£ 995 - Flex-Training Passport
£ 800 - Short Course Vouchers
£ 1,255 - Alumni Gold Tuition

 
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Customer Service or Enrol: 0800 282 353 or +44 1372 364610