Access Training in Los Angeles

Access Training in Los Angeles
Microsoft Access, MsAccess Training

CA, San Francisco - Golden Gate - 75 Broadway

75 Broadway Suite 202
San Francisco , CA 94111
United States
California US
CA, San Francisco - Golden Gate - 75 Broadway
With its fabulous arched windows, the 75 Broadway office, located in the heart of Jackson Square, is designed to impress. Situated at Golden Gateway Commons on...Read more

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Course Outlines

Code Name Duration Outline
sqlmsa SQL in Microsoft Access 14 hours

This SQL training course is for people who want to gain the necessary skills to extract and analyse data using Microsoft Access. Course members will learn:

  • how to write SQL queries
  • what relational databases are and how we can use them
  • what are relations and how to create them
  • the structure of data
  • differences between SQL dialects (Oracle, T-SQL, ANSI)
  • practical skills for writing queries

This SQL course deals with Microsoft Access dialect of SQL.

RDBMS (Relational DataBase Management System)

Relational Operators

SQL as Declarative Language

SQL Syntax

SQL Sublanguages DQL, DML, DDL, DCL

DQL (Data Query Language) in Detail

  • SELECT clause
  • Column aliases
  • Table aliases
  • Date types and Date functions
  • Group function
  • Table joins
  • JOIN clause
  • UNION operator
  • Nested queries
  • Correlated subqueries

DML (Data Manipulation Language) Overview

  • Inserting rows (INSERT)
  • Inserting rows using subquery
  • Updating rows (UPDATE)
  • Deleting rows (DELETE)

DDL (Data Definition Language) Overview

  • Creating, altering and dropping objects (CREATE, ALTER, DROP)
  • Creating tables using subquery (CREATE TABLE .... AS SELECT...)

CONSTRAINTS Overview

  • NULL i NOT NULL
  • CONSTRAINT clause
  • ENUM type
  • SET type
  • PRIMARY KEY
  • UNIQUE
  • FOREIGN KEY
  • DEFAULT clause

Transactions Overview

  • COMMIT
  • ROLLBACK
  • SAVEPOINT
  • Implicit and explicit rollbacks and commits

SQL Dialects Overview

  • MySQL
  • Microsoft Access and SQL Server
  • Oracle and PostgreSQL

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