Proceso de Oracle Certified Associate

BusinessMind Colombia S.A.
En Cundinamarca y Medellín

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Información importante

  • Diplomado
  • Nivel avanzado
  • En 2 sedes
  • Duración:
    10 Días
  • Cuándo:
    A definir
Descripción

Si has estado buscando un curso que te prepare en sistemas Oracle, te presentamos una formación que cumple con todas las habilidades que necesitas para formarte como profesional, el centro BusinessMind Colombia ofrece, por medio del catálogo de Emagister.com.co, el curso de Proceso de Oracle Certified Associate.

Con esta formación aprenderás a trabajar con las mejores bases de datos de la industria; la tecnología líder en bases de datos integradas. Este programa realmente son dos formaciónes, en la primera te introducirás al mundo del SQL, donde aprenderás a controlar y dominar este importante lenguaje de programación, la segunda parte de la formación te prepara para temas avanzados pensando en el examen de certificación.

Cada uno de los cursos que componen esta formación tienen duración de cinco días, el centro cuenta con profesores con amplia experiencia profesional y docente, el temario abarca las principales competencias para tu desarrollo, por lo que tus conocimientos están garantizados, algunos de los temas que verás durante tu formación son: introducción a las bases de datos de Oracle, la categorización de las diferentes oraciones de SQL, el ingreso a una base de datos y el uso de ambientes de desarrollo de SQL.

No dejes pasar esta excelente oportunidad de mejorar tus conocimientos, estás ante un programa excelente que te prepara para las necesidades del mercado laboral colombiano, da clic al botón de información, para que el centro se ponga en contacto contigo, resuelvan todas tus dudas e inicies tu formación de manera inmediata.

Información importante
Sedes

Dónde se imparte y en qué fechas

Inicio Ubicación
A definir
Cundinamarca
Cra 45A #93-77 / La Castellana, 7721, Bogotá, Colombia
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Consultar
Medellín
Cra 52 #14-30 CEOH-Centro Empresarial Olaya Herrera, Local 202, Antioquia, Colombia
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Opiniones

E

07/10/2014
Lo mejor Un curso completo para el domino de Bases de Datos, con los conocimientos y programas más actualizados y con un cuerpo docente de amplias capacidades.

A mejorar .

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¿Qué aprendes en este curso?

Introduction to Oracle Database
List the features of Oracle Database 12c
Categorize the different types of SQL statements
Log on to the database using SQL Developer environment
Use Arithmetic Operators
Learn the DESCRIBE command to display the table structure
Sort output in descending and ascending order
Usage of Single-Row Functions to Customize Output
Invoke Conversion Functions and Conditional Expressions
Nest multiple functions
Aggregate Data Using the Group Functions
Describe the SET operators
Describe each DML statement
List the data types available for columns
Describe how schema objects work
Grant System Privileges
Management of Schema Objects
Explain the data dictionary
Table and Column Information
Use Subqueries to Manipulate Data

Programa académico

Temario del curso

Introduction to Oracle Database

List the features of Oracle Database 12c

Discuss the basic design, theoretical, and physical aspects of a relational database

Categorize the different types of SQL statements

Describe the data set used by the course

Log on to the database using SQL Developer environment

Save queries to files and use script files in SQL Developer

Retrieve Data using the SQL SELECT Statement

List the capabilities of SQL SELECT statements

Generate a report of data from the output of a basic SELECT statement

Select All Columns

Select Specific Columns

Use Column Heading Defaults

Use Arithmetic Operators

Understand Operator Precedence

Learn the DESCRIBE command to display the table structure

Learn to Restrict and Sort Data

Write queries that contain a WHERE clause to limit the output retrieved

List the comparison operators and logical operators that are used in a WHERE clause

Describe the rules of precedence for comparison and logical operators

Use character string literals in the WHERE clause

Write queries that contain an ORDER BY clause to sort the output of a SELECT statement

Sort output in descending and ascending order

Usage of Single-Row Functions to Customize Output

Describe the differences between single row and multiple row functions

Manipulate strings with character function in the SELECT and WHERE clauses

Manipulate numbers with the ROUND, TRUNC, and MOD functions

Perform arithmetic with date data

Manipulate dates with the DATE functions

Invoke Conversion Functions and Conditional Expressions

Describe implicit and explicit data type conversion

Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions

Nest multiple functions

Apply the NVL, NULLIF, and COALESCE functions to data

Use conditional IF THEN ELSE logic in a SELECT statement

Aggregate Data Using the Group Functions

Use the aggregation functions to produce meaningful reports

Divide the retrieved data in groups by using the GROUP BY clause

Exclude groups of data by using the HAVING clause

Display Data From Multiple Tables Using Joins

Write SELECT statements to access data from more than one table

View data that generally does not meet a join condition by using outer joins

Join a table to itself by using a self join

Use Sub-queries to Solve Queries

Describe the types of problem that sub-queries can solve

Copyright © 2013, Oracle. All rights reserved. Page 3

Define sub-queries

List the types of sub-queries

Write single-row and multiple-row sub-queries

The SET Operators

Describe the SET operators

Use a SET operator to combine multiple queries into a single query

Control the order of rows returned

Data Manipulation Statements

Describe each DML statement

Insert rows into a table

Change rows in a table by the UPDATE statement

Delete rows from a table with the DELETE statement

Save and discard changes with the COMMIT and ROLLBACK statements

Explain read consistency

Use of DDL Statements to Create and Manage Tables

Categorize the main database objects

Review the table structure

List the data types available for columns

Create a simple table

Decipher how constraints can be created at table creation

Describe how schema objects work

Other Schema Objects

Create a simple and complex view

Retrieve data from views

Create, maintain, and use sequences

Create and maintain indexes

Create private and public synonyms

Control User Access

Differentiate system privileges from object privileges

Create Users

Grant System Privileges

Create and Grant Privileges to a Role

Change Your Password

Grant Object Privileges

How to pass on privileges?

Revoke Object Privileges

Management of Schema Objects

Add, Modify, and Drop a Column

Add, Drop, and Defer a Constraint

How to enable and Disable a Constraint?

Create and Remove Indexes

Create a Function-Based Index

Perform Flashback Operations

Create an External Table by Using ORACLE_LOADER and by Using ORACLE_DATAPUMP

Query External Tables

Copyright © 2013, Oracle. All rights reserved. Page 4

Manage Objects with Data Dictionary Views

Explain the data dictionary

Use the Dictionary Views

USER_OBJECTS and ALL_OBJECTS Views

Table and Column Information

Query the dictionary views for constraint information

Query the dictionary views for view, sequence, index and synonym information

Add a comment to a table

Query the dictionary views for comment information

Manipulate Large Data Sets

Use Subqueries to Manipulate Data

Retrieve Data Using a Subquery as Source

Insert Using a Subquery as a Target

Usage of the WITH CHECK OPTION Keyword on DML Statements

List the types of Multitable INSERT Statements

Use Multitable INSERT Statements

Merge rows in a table

Track Changes in Data over a period of time

Data Management in different Time Zones

Time Zones

CURRENT_DATE, CURRENT_TIMESTAMP, and LOCALTIMESTAMP

Compare Date and Time in a Session’s Time Zone

DBTIMEZONE and SESSIONTIMEZONE

Difference between DATE and TIMESTAMP

INTERVAL Data Types

Use EXTRACT, TZ_OFFSET and FROM_TZ

Invoke TO_TIMESTAMP,TO_YMINTERVAL and TO_DSINTERVAL

Retrieve Data Using Sub-queries

Multiple-Column Subqueries

Pairwise and Nonpairwise Comparison

Scalar Subquery Expressions

Solve problems with Correlated Subqueries

Update and Delete Rows Using Correlated Subqueries

The EXISTS and NOT EXISTS operators

Invoke the WITH clause

The Recursive WITH clause

Regular Expression Support

Use the Regular Expressions Functions and Conditions in SQL

Use Meta Characters with Regular Expressions

Perform a Basic Search using the REGEXP_LIKE function

Find patterns using the REGEXP_INSTR function

Extract Substrings using the REGEXP_SUBSTR function

Replace Patterns Using the REGEXP_REPLACE function

Usage of Sub-Expressions with Regular Expression


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