About this Course

Code TPD79993GC10
Duration 2 Days
Special Notices

Please note: In order to provision you with your courseware and lab access for this course QA must share several items of basic personal information with our partner (usually your full name and email address). For more information on this please visit our QA Partner data sharing page. If you have any questions or concerns please contact your QA account manager.

This Oracle Database 12c: Analytic SQL for Data Warehousing training teaches you how to interpret the concept of a hierarchical query, create a tree-structured report, format hierarchical data and exclude branches from the tree structure. You'll also learn to use regular expressions and sub-expressions to search for, match, and replace strings. In this course, you will be introduced to Oracle Business Intelligence Cloud Service.Learn To:Use SQL with aggregation operators, SQL for Analysis and Reporting functions.Group and aggregate data using the ROLLUP and CUBE operators, the GROUPING function, Composite Columns and the concatenated Groupings.Analyze and report data using Ranking functions, the LAG/LEAD Functions and the PIVOT and UNPIVOT clauses.Perform advanced pattern matching.Use regular expressions to search for, match and replace strings.Gain an understanding of the Oracle Business Intelligence Cloud Service.Benefits to YouEnrolling in this course will help data warehouse builders and implementers, database administrators, system administrators and database application developers to better design, maintain and use data warehouses. Through working with expert Oracle University instructors in a hands-on classroom environment, you'll deepen your knowledge so you can perform better on the job.Before Attending this CourseBefore attending this course, you should be familiar with the following: relational database concepts, data warehouse theory and implementation, Oracle server concepts )including application and server tuning) and the operating system environment on which the Oracle Database Server is running. You'll use Oracle SQL Developer to develop program units. SQL*Plus is introduced as an optional tool.A Live Virtual Class (LVC) is exclusively for registered students; unregistered individuals may not view an LVC at any time. Registered students must view the class from the country listed in the registration form. Unauthorized recording, copying, or transmission of LVC content may not be made.

Prerequisites

  • Familiarity with SQLConceptual experience designing data warehousesData Warehouse design, implementation, and maintenance experiencePractical experience implementing data warehousesGood working knowledge of the SQL languageGood understanding of relational technologyFamiliarity with Oracle SQL Developer and SQL*Plus

Please note: In order to provision you with your courseware and lab access for this course QA must share several items of basic personal information with our partner (usually your full name and email address). For more information on this please visit our QA Partner data sharing page. If you have any questions or concerns please contact your QA account manager.

Delegates will learn how to

  • Group and aggregate data using the ROLLUP and CUBE operators
  • Analyze and report data using Ranking, LAG/LEAD, and FIRST/LAST functions
  • Use the MODEL clause to create a multidimensional array from query results
  • Use Analytic SQL to aggregation, Analyze and Reporting, and Model Data
  • Interpret the concept of a hierarchical query, create a tree-structured report, format hierarchical data, and exclude branches from the tree structure
  • Gain an understanding of the Oracle Business Intelligence Cloud Service
  • Use regular expressions to search for, match, and replace strings
  • Perform pattern matching using the MATCH_RECOGNIZE clause

Outline

Introduction

  • Course Objectives, Course Agenda and Class Account Information
  • Describe the Schemas and Appendices used in the Lesson
  • Overview of SQL*Plus Environment
  • Overview of SQL Developer
  • Overview of Analytic SQL
  • Oracle Database SQL and Data Warehousing Documentation

Grouping and Aggregating Data Using SQL

  • Generating Reports by Grouping Related Data
  • Review of Group Functions
  • Reviewing GROUP BY and HAVING Clause
  • Using the ROLLUP and CUBE Operators
  • Using the GROUPING Function
  • Working with GROUPING SET Operators and Composite Columns
  • Using Concatenated Groupings with Example

Hierarchical Retrieval

  • Using Hierarchical Queries
  • Sample Data from the EMPLOYEES Table
  • Natural Tree Structure
  • Hierarchical Queries: Syntax
  • Walking the Tree: Specifying the Starting Point
  • Walking the Tree: Specifying the Direction of the Query
  • Using the WITH Clause
  • Hierarchical Query Example: Using the CONNECT BY Clause

Working with Regular Expressions

  • Introducing Regular Expressions
  • Using the Regular Expressions Functions and Conditions in SQL and PL/SQL
  • Introducing Metacharacters
  • Using Metacharacters with Regular Expressions
  • Regular Expressions Functions and Conditions: Syntax
  • Performing a Basic Search Using the REGEXP_LIKE Condition
  • Finding Patterns Using the REGEXP_INSTR Function
  • Extracting Substrings Using the REGEXP_SUBSTR Function

Analyzing and Reporting Data Using SQL

  • Overview of SQL for Analysis and Reporting Functions
  • Using Analytic Functions
  • Using the Ranking Functions
  • Using Reporting Functions

Performing Pivoting and Unpivoting Operations

  • Performing Pivoting Operations
  • Using the PIVOT and UNPIVOT Clauses
  • Pivoting on the QUARTER Column: Conceptual Example
  • Performing Unpivoting Operations
  • Using the UNPIVOT Clause Columns in an UNPIVOT Operation
  • Creating a New Pivot Table: Example

Pattern Matching using SQL

  • Row Pattern Navigation Operations
  • Handling Empty Matches or Unmatched Rows
  • Excluding Portions of the Pattern from the Output
  • Expressing All Permutations
  • Rules and Restrictions in Pattern Matching
  • Examples of Pattern Matching

Modeling Data Using SQL

  • Using the MODEL clause
  • Demonstrating Cell and Range References
  • Using the CV Function
  • Using FOR Construct with IN List Operator, incremental values and Subqueries
  • Using Analytic Functions in the SQL MODEL Clause
  • Distinguishing Missing Cells from NULLs
  • Using the UPDATE, UPSERT and UPSERT ALL Options
  • Reference Models

Oracle Business Intelligence Cloud Service Overview

  • Oracle BI Cloud Service
  • Introducing Oracle Business Intelligence Cloud Service
  • Guidance Through Exploratory Analysis Deep Discovery through Rich Feature Set
  • BICS Can Integrate Any Data Source Quickly
  • BICS Makes Any Time The Right Time For New Insights
  • Speed, Flexibility and Economy of Cloud
  • Immediate Access to New Functionality
  • Enterprise-Grade Service Reliability

2 Days

Duration

This is a QA approved partner course

Delivery Method

Delivery method

Classroom

Face-to-face learning in the comfort of our quality nationwide centres, with free refreshments and Wi-Fi.

Find dates and prices

Online booking is currently not available for this course, to find out more please call us on 0113 220 7150 or email us at info@qa.com to discuss how we can help.

Trusted, awarded and accredited

Fully accredited to ensure we provide the highest possible standards in learning

All third party trademark rights acknowledged.