±³À°¸í | °øÅë Oracle Database 12c: Analytic SQL for Data Warehousing 2Â÷ |
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±³À°±â°£ | 2019-12-02 ~ 2019-12-03 |
±³À°½Ã°£ | 09:30~17:00(1ÀÏ 6½Ã°£, ÃÑ 12½Ã°£) |
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¡à Course Topics
¡Û Introduction
Course Objectives, Course Agenda and Class Account Information
Overview of Analytic SQL
Overview of SQL*Plus Environment
Describe the Schemas and Appendices used in the Lesson
Overview of SQL Developer
Oracle Database SQL and Data Warehousing Documentation
¡Û Grouping and Aggregating Data Using SQL
Using the ROLLUP and CUBE Operators
Using Concatenated Groupings with Example
Review of Group Functions
Working with GROUPING SET Operators and Composite Columns
Generating Reports by Grouping Related Data
Using the GROUPING Function
Reviewing GROUP BY and HAVING Clause
¡Û Hierarchical Retrieval
Using the WITH Clause
Hierarchical Query Example: Using the CONNECT BY Clause
Walking the Tree: Specifying the Direction of the Query
Hierarchical Queries: Syntax
Using Hierarchical Queries
Walking the Tree: Specifying the Starting Point
Natural Tree Structure
Sample Data from the EMPLOYEES Table
¡Û Working with Regular Expressions
Extracting Substrings Using the REGEXP_SUBSTR Function
Introducing Metacharacters
Performing a Basic Search Using the REGEXP_LIKE Condition
Finding Patterns Using the REGEXP_INSTR Function
Using the Regular Expressions Functions and Conditions in SQL and PL/SQL
Regular Expressions Functions and Conditions: Syntax
Using Metacharacters with Regular Expressions
Introducing Regular Expressions
¡Û Analyzing and Reporting Data Using SQL
Using the Ranking Functions
Using Reporting Functions
Overview of SQL for Analysis and Reporting Functions
Using Analytic Functions
¡Û Performing Pivoting and Unpivoting Operations
Creating a New Pivot Table: Example
Performing Pivoting Operations
Pivoting on the QUARTER Column: Conceptual Example
Performing Unpivoting Operations
Using the PIVOT and UNPIVOT Clauses
Using the UNPIVOT Clause Columns in an UNPIVOT Operation
¡Û Pattern Matching using SQL
Expressing All Permutations
Rules and Restrictions in Pattern Matching
Examples of Pattern Matching
Row Pattern Navigation Operations
Excluding Portions of the Pattern from the Output
Handling Empty Matches or Unmatched Rows
¡Û Modeling Data Using SQL
Using the CV Function
Using Analytic Functions in the SQL MODEL Clause
Using the MODEL clause
Using FOR Construct with IN List Operator, incremental values and Subqueries
Distinguishing Missing Cells from NULLs
Using the UPDATE, UPSERT and UPSERT ALL Options
Demonstrating Cell and Range References
Reference Models
¡Û Oracle Business Intelligence Cloud Service Overview
Oracle BI Cloud Service
BICS Can Integrate Any Data Source Quickly
Enterprise-Grade Service Reliability
Guidance Through Exploratory Analysis & Deep Discovery through Rich Feature Set
Speed, Flexibility and Economy of Cloud
BICS Makes Any Time The Right Time For New Insights
Immediate Access to New Functionality
Introducing Oracle Business Intelligence Cloud Service
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