Course Date | Start Time | End Time | Time Zone | Location | Days | Price | |
---|---|---|---|---|---|---|---|
Call for In Class or Live Virtual Dates | 3 | $3,600 USD | Purchase |
Oracle Database: Analytic SQL for Data Warehousing
This Oracle Database 12c: Analytic SQL for Data Warehousing training teaches you how to use Analytic SQL to aggregate, analyze, report and model data. Be introduced to Oracle Business Intelligence Cloud Service.
Duration: 3 Days
Prerequisites
- Experience with data warehouse design, implementation, and maintenance
- Familiarity with SQL
- Good working knowledge of the SQL language
- Familiarity with Oracle SQL Developer and SQL*Plus
- Oracle Database 11g: Data Warehousing Fundamentals Ed 1
- Conceptual experience designing data warehouses (suggested)
- Practical experience implementing data warehouses (suggested)
- Good understanding of relational technology (suggested)
- Oracle Database 11g: Administer a Data Warehouse Ed 2 (suggested)
- Oracle Database 12c: Introduction for Experienced SQL Users Ed 1 (suggested)
- Using Java - for PL/SQL and Database Developers Ed 1 (suggested)
Audience
- Administrators
- Analysts
- Architects
- Developers
Learning Objectives
- 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 aggregate, analyze and report, 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
Topics
- Using SQL to Group and Aggregate Data
- Hierarchal Retrieval
- Working with Regular Expressions
- Analyzing and Reporting Data by Using SQL
- Analytic Views
- Performing Pivoting and Unpivoting Operations
- Pattern Matching Using SQL
- Modeling Data Using SQL