50027 Querying and Processing SQL Server Data Using Microsoft SQL Server

Code: 50027
Course duration: 2 days
Price:

Querying and Processing SQL Server Data Using Microsoft SQL Server

About this Course

Elements of this syllabus are subject to change.

Alto's Querying and Processing SQL Server Data Using Microsoft SQL Server concentrates on providing students with the knowledge and skills necessary to exploit the features and functions available in SQL Server.

Audience Profile

The target audience for this clinic includes the following:

IT Professionals who will be writing queries for use with Microsoft SQL Server. Non-technical “power users” will also benefit from the course if they are comfortable using sophisticated software tools like SQL Server Management Studio.

Prerequisites

Before attending this course, students must:

  • At minimum be comfortable working with a complex user interface like SQL Server Management Studio

At Course Completion

Students will be able to write queries for use with Microsoft SQL Server.

Course Outline

Module 1: Quick Intro to SQL Query Basics

  • Establish baseline knowledge required elsewhere in course
  • Elements of the SELECT statement
  • Optional clauses
  • Working with NULL values
  • Working with Dates

Module 2: Working with Views

  • Nature and purpose of views
  • Creating and modifying view
  • Limitations and cautions

Module 3: Advanced SQL Query Tactics

  • Scalar and vector aggregations
  • Everything you need to know about JOINS
  • UNION queries
  • GROUP BY queries
  • Sub-queries

Module 4: Data Manipulation Statements

  • Insert statements
  • Update statements
  • Delete statements
  • Manipulation through views and over JOINs

Module 5: Working with Procedures

  • Nature and purpose of stored procedures and functions
  • Calling stored procedures for effect
  • Passing input parameters to stored procedures
  • Calling procedures that return data
  • Calling built-in functions
  • Calling user-defined functions

Module 6: Task-Oriented Queries

  • Finding unmatched or missing records
  • Finding duplicates
  • Calculating running sums
  • Changing a primary key

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