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Oracle Database 11g: Analytic SQL for Data Warehousing

CompuEducación
En México ()

$ 4,600
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Tipología Curso
Nivel Nivel iniciación
Duración 1 Día
  • Curso
  • Nivel iniciación
  • Duración:
    1 Día
Descripción

In this course students use Analytic SQL to aggregate, analyze and report, and model data. Students learn to interpret the concept of a hierarchical query, create a tree-structured report, format hierarchical data, and exclude branches from the tree structure. Students also learn to use regular expressions and subexpressions to search for, match, and replace strings.

Before attending this course, students should be familiar with 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. Students use Oracle SQL Developer to develop these program units. SQL*Plus and JDeveloper are introduced as optional tools.

This course is intended for data warehouse builders and implementers, database administrators, system administrators, and database application developers who design, maintain, and use data warehouses.

Preguntas Frecuentes

· ¿Cuáles son los objetivos de este curso?

Create a tree-structured report, format hierarchical data, and exclude branches from the tree structure Identify the benefits of using regular expressions Use the regular expressions and subexpressions functions Identify the benefits of using Analytic SQL Review the available SQL for aggregation operators, SQL for Analysis and Reporting functions, and the SQL for Modeling using the SQL MODEL clause 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 Use the MODEL clause to create a multidimensional array from query results and then apply formulas to this array to calculate new values Interpret the concept of a hierarchical query, create a tree-structured report, format hierarchical data, and exclude branches from the tree structure

· ¿A quién va dirigido?

Learn to: Use Analytic SQL to aggregation, Analyze and Reporting, and Model Data 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 ##Interpret the concept of a hierarchical query, create a tree-structured report, format hierarchical data, and exclude branches from the tree structure Use regular expressions to search for, match, and replace strings

· Requisitos

##Oracle Database: Introducción a SQL NUEVO Recommended Related Training Courses: ##Oracle Database 10g: SQL Tuning This Oracle Database 10g: SQL Tuning training is designed to give the experienced SQL Developer or DBA a firm foundation in SQL tuning techniques.

· ¿Qué diferencia a este curso de los demás?

Somos la empresa líder en capacitación para la industria de Tecnología de la Información. Contamos con respaldo de más de 24 años de experiencia capacitando exitosamente a más de 15,000 profesionales de TI anualmente.

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¿Qué aprendes en este curso?

ODBC
Datawarehouse
Administración de bases de datos
Tunning de bases de datos
Capacitacion y certificacion
Oracle
Curso
Diseño de bases de datos
Oracle 10g
Base de datos
SQL

Profesores

Instructor Certificado
Instructor Certificado
Oracle

Programa académico

Introduction
  • Course Objectives
  • Course Agenda
  • Class Accounts Information
  • Appendices Used in this Course
  • Sample Schemas Used in this Course
  • SQL Environments Available in the Course
  • Overview of Oracle SQL Developer
  • Oracle 11g SQL and Data Warehousing Documentation and Additional Resources
Grouping and Aggregating Data Using SQL
  • What is Analytic SQL?
  • Analytic SQL in Data Warehouses Agenda: SQL for Aggregation, SQL for Analysis and Reporting, and SQL for Modeling
  • Generating Reports by Grouping Related Data
  • Using the GROUP BY Clause With the ROLLUP and CUBE Operators
  • Using the ROLLUP and CUBE Operators
  • Using the GROUPING Function
  • Working With GROUPING SETS
  • Working With Composite Columns and Concatenated Groupings
Analyzing and Reporting Data Using SQL
  • Overview of SQL for Analysis and Reporting Functions
  • Identifying the SQL Ranking Functions
  • Controlling the Ranking Order
  • Ranking on Multiple Expressions
  • Using the RANK, DENSE_RANK, and PERCENT_RANK Functions
  • Ranking Per CUBE and ROLLUP
  • Using the LAG/LEAD Functions
  • Performing Pivoting Operations Using the PIVOT and UNPIVOT Clauses
Modeling Data Using SQL
  • Overview of SQL for Modeling Data
  • Integrating Inter-row Calculations in SQL
  • Working With the SQL MODEL Clause
  • Cell and Range References
  • Using the CV()Function
  • Using the FOR Construct with IN List Operator, Incremental Values, and a Subquery
  • Using Reference Models
  • Cyclic Rules in Models
Hierarchical Retrieval
  • Hierarchical Retrieval: Overview
  • Natural Tree Structure
  • Hierarchical Queries
  • Walking the Tree
  • Walking the Tree: From the Bottom Up and From the Top Down
  • Ranking Rows with the LEVEL Pseudocolumn
  • Formatting Hierarchical Reports Using LEVEL and LPAD
  • Pruning Branches and Nodes
Analyzing Data Using Regular Expressions
  • The Benefits of Using Regular Expressions
  • Using the Regular Expressions Functions and Conditions in SQL
  • Using Metacharacters with Regular Expressions
  • Performing a Basic Search Using the REGEXP_LIKE Condition
  • Finding Patterns Using the REGEXP_INSTR Function
  • Extracting Substrings Using the REGEXP_SUBSTR Function
  • Replacing Patterns Using the REGEXP_REPLACE Function
  • Using Subexpressions with Regular Expression Support

Información adicional


* Incluye servicio de cafetería y estacionamiento sin costo.

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