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Introduction to SQL Programming Basics

SS Course: 9000543

Course Overview

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A company’s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases – with little room for error. When databases aren’t built or maintained correctly, it’s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. A full presentation of the basics of relational databases and their use are also covered.

                                                                  

Scheduled Classes

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What You'll Learn

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This “skills-centric” course is about 50% hands-on lab and 50% lecture, designed to train attendees core SQL programming and database skills, coupling the most current, effective techniques with the soundest industry practices. Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review.

Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom.  Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will explore:

  • Basic RDBMS Principles
  • The SQL Language and Tools
  • Using SQL Developer
  • SQL Query Basics
  • WHERE and ORDER BY
  • Functions
  • ANSI 92 JOINS
  • ANSI 99 Joins
  • GROUP BY and HAVING
  • Subqueries  
  • Regular Expressions
  • Analytics

Outline

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Viewing outline for:

Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most. Topics, agenda and labs are subject to change, and may adjust during live delivery based on audience needs and skill-level.

Basic RDBMS Principles

  • Relational design principles
  • Accessing data through a structured query language
  • Entity relationship diagrams
  • Data Domains
  • Null values
  • Indexes
  • Views
  • Denormalization
  • Data Model Review

The SQL Language and Tools

  • Using SQL*Plus
  • Why Use SQL*Plus When Other Tools Are Available?
  • Starting SQL*Plus
  • EZConnect
  • SQL Commands  
  • PL/SQL Commands
  • SQL*Plus Commands
  • The COLUMN Command
  • The HEADING Clause
  • The FORMAT Clause
  • The NOPRINT Clause
  • The NULL Clause
  • The CLEAR Clause
  • Predefined define variables
  • LOGIN.SQL
  • Command history
  • Copy and paste in SQL*Plus
  • Entering SQL commands
  • Entering PL/SQL commands
  • Entering SQL*Plus commands
  • Default output from SQL*Plus
  • Entering Queries
  • What about PL/SQL?

Using SQL Developer

  • Choosing a SQL Developer version
  • Configuring connections
  • Creating A Basic Connection
  • Creating A TNS Connection
  • Connecting
  • Configuring preferences
  • Using SQL Developer
  • The Columns Tab
  • The Data Tab
  • The Constraints Tab
  • The Grants Tab
  • The Statistics Tab
  • Other Tabs
  • Queries In SQL Developer
  • Query Builder
  • Accessing Objects Owned By Other Users
  • The Actions Pulldown Menu
  • Differences between SQL Developer and SQL*Plus
  • Reporting Commands Missing In SQL Developer
  • General Commands Missing In SQL Developer
  • Data Dictionary report
  • User Defined reports
  • Using scripts in SQL Developer

SQL Query Basics

  • Understanding the data dictionary
  • Exporting Key Data Dictionary Information
  • The Dictionary View
  • Components of a SELECT Statement      
    • The SELECT Clause
    • The FROM Clause
    • The WHERE Clause
    • The GROUP BY Clause
    • The HAVING Clause
    • The ORDER BY Clause
    • The START WITH And CONNECT BY Clauses
    • The FOR UPDATE Clause
    • Set Operators
  • Column Aliases
  • Fully Qualifying Tables and Columns
  • Table Aliases
  • Using DISTINCT and ALL in SELECT statements

WHERE and ORDER BY

  • WHERE clause basics
  • Comparison operators
  • Literals and Constants in SQL
  • Simple pattern matching
  • Logical operations
  • The DUAL table
  • Arithmetic operations
  • Expressions in SQL
  • Character operators
  • Pseudo columns
  • Order by clause basics
  • Ordering Nulls
  • Accent and case sensitive sorts
  • Sampling data
  • WHERE and ORDER BY in SQL Developer
  • All, Any, Some

Functions

  • The basics of Oracle functions
  • Number functions
  • Character functions
  • Date functions
  • Conversion functions
  • Other functions
  • Large object functions
  • Error functions
  • The RR format mode;
  • Leveraging your knowledge

ANSI 92 JOINS

  • Basics of ANSI 92 Joins
  • Using Query Builder with multiple tables
  • Table Aliases
  • Outer joins
  • Outer Joins In Query Builder
  • Set operators
  • Self-referential joins
  • Non-Equijoins

ANSI 99 Joins

  • Changes with ANSI99
  • CROSS Join
  • NATURAL Join
  • JOIN USING
  • JOIN ON
  • LEFT / RIGHT OUTER JOIN
  • FULL OUTER JOIN

GROUP BY and HAVING

  • Introduction to GROUP functions Limiting Rows
  • Including NULL
  • Using DISTINCT With Group Functions
  • GROUP function requirements
  • The HAVING clause
  • Other GROUP function rules
  • Using Query Builder with GROUP clauses
  • ROLLUP and CUBE
  • The Grouping function
  • Grouping Sets

Subqueries  

  • Why use subqueries?
  • WHERE clause subqueries
  • FROM clause subqueries
  • HAVING clause subqueries
  • CORRELATED subqueries
  • SCALAR subqueries
  • DML and subqueries 
  • EXISTS subqueries      
  • Hierarchical queries   
  • TOP N AND BOTTOM N queries
  • Creating subqueries using Query Builder

Regular Expressions

  • Available Regular Expressions
  • Regular Expression Operators
  • Character Classes
  • Pattern matching options
  • REGEX_LIKE
  • REGEXP_SUBSTR
  • REGEXP_INSTR
  • REGEXP_REPLACE
  • REGEXP_COUNT

Analytics

  • The WITH clause
  • Reporting aggregate functions
  • Analytical functions
  • User-Defined bucket histograms
  • The MODEL clause
  • PIVOT and UNPIVOT
  • Temporal validity

More Analytics

  • RANKING functions
  • RANK
  • DENSE_RANK
  • CUME_DIST
  • PERCENT_RANK         
  • ROW_NUMBER          
  • Windowing aggregate functions
  • RATIO_TO_REPORT
  • LAG / LEAD
  • Linear Regression functions
  • Inverse Percentile functions
  • Hypothetical ranking functions
  • Pattern Matching

Prerequisites

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Basic computer skills are required.  A basic knowledge of databases is desired but not required.

    Who Should Attend

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    This in an introductory-level course geared for end users, data scientists, business analysts, application developers and database administrators new to SQL.

    Next Step Courses

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    Take After: Our core training courses provide students with a solid foundation for continued learning based on role, goals, or their areas of specialty. Our learning paths offer a wide variety of follow-on courses such as:

    • Database or tooling topics (SQL Server, Oracle, OBIEE, TOAD, etc) 
    • Database security topics
    • Data Analytics / Big Data training – Spark, Hadoop, etc.

    Related Courses:

    • SQL Training Suite
    • SQL Programming Basics
    • Writing SQL Queries
    • Next Level SQL | Advanced SQL Programming
    • SQL Tuning