Oracle Database Analytic SQL for Data Warehousing Ed 1

Obejctives

• 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

• 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 FeatureSet
  • 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