Diplomado ODI 11G Y 12C - Certificatic ODI 11G Y 12C Duración: 250 horas. Horario: Sabatino de 8:00...

Diplomado ODI 11G Y 12C

Duración: 250 horas.

Horario: Sabatino de 8:00 a 15:00 horas.

Incluye:

1. Curso presencial de 250 horas.

2.- Material oficial de Oracle University (e-kit´s) de los siguientes cursos:

- Oracle Database 12c: SQL & PLSQL Fundamentals

- Oracle Database 11g: Data Warehousing fundamentals

- Oracle Data Integrator 12c: New Features

- Oracle Data Integrator 12c:Integration and Administration New

- Oracle Data Integrator 12c: Advanced Integration and Development New

- Oracle Business Intelligence 12c Overview

3.- 1 Voucher de certificación a elejir

Requisitos:

Es Indispensable traer lap-top con las siguientes características:

1. Procesador: Intel(R) Core(TM) i5 ó i7 Quad Core a 2.0 GHz o un procesador equivalente

en Intel o AMD de cuatro núcleos.

2. Tipo de Sistema Operativo Windows 7 u 8 a 64 Bits.

3. Mínimo de memoria RAM: 12 GB.

4. Mínimo de espacio en Disco 150 GB disponibles.

Oracle University | Contact Us: 001-855-844-3881 & 001-800-514-06-97

Oracle Database: SQL and PL/SQL Fundamentals NEW

Duration: 5 Days

What you will learn

This Oracle Database: SQL and PL/SQL Fundamentals training delivers the fundamentals of SQL and PL/SQL along

with the benefits of the programming languages using Oracle Database technology. You'll explore the concepts of

relational databases.

Learn To:

Write queries against single and multiple tables, manipulate data in tables and create database objects.

Use single row functions to customize output.

Invoke conversion functions and conditional expressions.

Use group functions to report aggregated data.

Create PL/SQL blocks of application code that can be shared by multiple forms, reports and data management

applications.

Develop anonymous PL/SQL blocks, stored procedures and functions.

Declare identifiers and trap exceptions.

Use DML statements to manage data.

Use DDL statements to manage database objects.

Declare PL/SQL Variables.

Conditionally control code flow (loops, control structures).

Describe stored procedures and functions.

Retrieve row and column data from tables.

Benefits to You

Ensure fast, reliable, secure and easy to manage performance. Optimize database workloads, lower IT costs and deliver

a higher quality of service by enabling consolidation onto database clouds.

Hands-On Practices

Demonstrations and hands-on practice reinforce the fundamental concepts that you’ll learn in this course. By enrolling in

this course, you’ll begin using Oracle SQL Developer to develop these program units. SQL*Plus and JDeveloper are

available as optional tools.

Course Bundle

Note: This course is a combination of Oracle Database: SQL Workshop I and Oracle Database: PL/SQL Fundamentals

courses.

AudienceApplication Developers

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Forms DeveloperFunctional ImplementerPL/SQL DeveloperPortal DeveloperReports DeveloperTechnical Consultant

Related Training

Required Prerequisites

Familiarity with data processing concepts and techniques

Familiarity with programming concepts

Course ObjectivesRun data manipulation statements (DML) to update data in the Oracle Database.

Design PL/SQL anonymous block that execute efficiently.

Describe the features and syntax of PL/SQL.

Handle runtime errors.

Describe stored procedures and functions.

Use PL/SQL programming constructs and conditionally control code flow (loops, control structures, and explicit cursors).

Use cursors to process rows.

Identify the major structural components of the Oracle Database 11g.

Retrieve row and column data from tables with the SELECT statement.

Create reports of sorted and restricted data.

Employ SQL functions to generate and retrieve customized data.

Display data from multiple tables using the ANSI SQL 99 JOIN syntax.

Create reports of aggregated data.

Run data definition language (DDL) statements to create and manage schema objects.

Course Topics

IntroductionOverview of Oracle Database 12c and related products


Overview of relational database management concepts and terminologiesIntroduction to SQL and its development environmentsThe HR schema and the tables used in this courseOracle Database documentation and additional resources

Retrieve Data using the SQL SELECT Statement List the capabilities of SQL SELECT statementsGenerate a report of data from the output of a basic SELECT statementUse arithmetic expressions and NULL values in the SELECT statementInvoke Column aliasesConcatenation operator, literal character strings, alternative quote operator, and the DISTINCT keywordDisplay the table structure using the DESCRIBE command

Restricted and Sorted Data Write queries with a WHERE clause to limit the output retrievedDescribe the comparison operators and logical operatorsDescribe the rules of precedence for comparison and logical operatorsUsage of character string literals in the WHERE clauseWrite queries with an ORDER BY clause Sort the output in descending and ascending orderSubstitution Variables

Usage of Single-Row Functions to Customize Output List the differences between single row and multiple row functionsManipulate strings using character functionsManipulate numbers with the ROUND, TRUNC, and MOD functionsPerform arithmetic with date dataManipulate dates with the DATE functions

Conversion Functions and Conditional Expressions Describe implicit and explicit data type conversionDescribe the TO_CHAR, TO_NUMBER, and TO_DATE conversion functionsNesting multiple functionsApply the NVL, NULLIF, and COALESCE functions to dataUsage of conditional IF THEN ELSE logic in a SELECT statement

Aggregated Data Using the Group Functions Usage of the aggregation functions in SELECT statements to produce meaningful reportsDescribe the AVG, SUM, MIN, and MAX functionHow to handle Null Values in a group function?Divide the data in groups by using the GROUP BY clauseExclude groups of date by using the HAVING clause

Display Data From Multiple TablesWrite SELECT statements to access data from more than one tableJoin Tables Using SQL:1999 Syntax View data that does not meet a join condition by using outer joinsJoin a table to itself by using a self joinCreate Cross Joins

Usage of Subqueries to Solve QueriesUse a Subquery to Solve a Problem


Single-Row Subqueries Group Functions in a Subquery Multiple-Row Subqueries Use the ANY and ALL Operator in Multiple-Row Subqueries Use the EXISTS Operator

SET OperatorsDescribe the SET operatorsUse a SET operator to combine multiple queries into a single queryDescribe the UNION, UNION ALL, INTERSECT, and MINUS OperatorsUse the ORDER BY Clause in Set Operations

Data ManipulationAdd New Rows to a TableChange the Data in a Table Use the DELETE and TRUNCATE StatementsHow to save and discard changes with the COMMIT and ROLLBACK statementsImplement Read ConsistencyDescribe the FOR UPDATE Clause

DDL Statements to Create and Manage TablesCategorize Database ObjectsCreate Tables Describe the data typesUnderstand ConstraintsCreate a table using a subqueryHow to alter a table?How to drop a table?

Other Schema ObjectsCreate, modify, and retrieve data from a viewPerform Data manipulation language (DML) operations on a viewHow to drop a view?Create, use, and modify a sequenceCreate and drop indexesCreate and drop synonyms

Introduction to PL/SQLPL/SQL Overview List the benefits of PL/SQL SubprogramsOverview of the Types of PL/SQL blocksCreate a Simple Anonymous Block Generate the Output from a PL/SQL Block

PL/SQL IdentifiersList the different Types of Identifiers in a PL/SQL subprogramUsage of the Declarative Section to Define IdentifiersUse of variables to store dataScalar Data Types%TYPE Attribute Bind VariablesSequences in PL/SQL Expressions


Write Executable StatementsBasic PL/SQL Block Syntax GuidelinesHow to comment code?SQL Functions in PL/SQLData Type ConversionNested Blocks Operators in PL/SQL

Interaction with the Oracle Server SELECT Statements in PL/SQL to Retrieve dataData Manipulation in the Server Using PL/SQL The SQL Cursor conceptLearn to use SQL Cursor Attributes to Obtain Feedback on DMLHow to save and discard transactions?

Control StructuresConditional processing Using IF StatementsConditional processing Using CASE StatementsSimple Loop StatementWhile Loop StatementFor Loop StatementThe Continue Statement

Usage of Composite Data Types PL/SQL Records The %ROWTYPE Attribute Insert and Update with PL/SQL RecordsAssociative Arrays (INDEX BY Tables)INDEX BY Table Methods INDEX BY Table of Records

Explicit CursorsUnderstand Explicit CursorsDeclare the CursorHow to open the Cursor?Fetching data from the CursorHow to close the Cursor?Cursor FOR loopExplicit Cursor AttributesFOR UPDATE Clause and WHERE CURRENT Clause

Exception Handling What are Exceptions?Handle Exceptions with PL/SQLTrap Predefined Oracle Server ErrorsTrap Non-Predefined Oracle Server ErrorsTrap User-Defined Exceptions Propagate ExceptionsRAISE_APPLICATION_ERROR Procedure

Stored Procedures and FunctionsWhat are Stored Procedures and Functions?


Differentiate between anonymous blocks and subprogramsCreate a Simple ProcedureCreate a Simple Procedure with IN parameterCreate a Simple FunctionExecute a Simple ProcedureExecute a Simple Function


Oracle University | Llámenos: 01 800 214 0697

Oracle Database 11g: Data Warehousing Fundamentals

Duración: 3 días

Lo que aprenderá

In this course, students learn the basic concepts of a data warehouse and study the issues involved in planning,

designing, building, populating, and maintaining a successful data warehouse. Students learn to improve performance or

manageability in a data warehouse using various Oracle Database features.

Students also learn the basics about Oracle’s Database partitioning architecture and identify the benefits of partitioning.

Students review the benefits of parallel operations to reduce response time for data-intensive operations. Students learn

about the extract, transform, and load of data phase (ETL) into an Oracle database warehouse. Students learn the

basics about the benefits of using Oracle’s materialized views to improve the data warehouse performance. Students

also learn at a high level how query rewrite can improve a query’s performance. Students review OLAP and Data Mining

and identify some data warehouse implementations considerations.

Students briefly use some of the available data warehousing tools such as Oracle Warehouse Builder, Analytic

Workspace Manager, and Oracle Application Express.

Learn To:

Define the terminology and explain basic concepts of data warehousing

Identify the technology and some of the tools from Oracle to implement a successful data warehouse

Describe methods and tools for extracting, transforming, and loading data

Identify some of the tools for accessing and analyzing warehouse data

Describe the benefits of partitioning, parallel operations, materialized views, and query rewrite in a data warehouse

Explain the implementation and organizational issues surrounding a data warehouse project

AudienciaApplication DevelopersData Warehouse AdministratorData Warehouse AnalystData Warehouse DeveloperDeveloper Functional ImplementerProject ManagerSupport Engineer

Prerequisitos

Prerequisitos SugeridosKnowledge of general data warehousing conceptsKnowledge of client-server technologyKnowledge of relational server technology

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Objetivos Del CursoUse materialized views and query rewrite to improve the data warehouse performanceIdentify some of the new Oracle Database 11g features that aid in implementing the data warehouseDescribe methods and tools for extracting, transforming, and loading dataIdentify some of the tools for accessing and analyzing warehouse dataDescribe the benefits of partitioning in a data warehouseUse parallel operations to reduce response time for data-intensive operationsDefine the terminology and explain the basic concepts of data warehousingIdentify the technology and some of the tools from Oracle to implement a successful data warehouseDescribe methods and tools for extracting, transforming, and loading dataIdentify some of the tools for accessing and analyzing warehouse dataDescribe the benefits of partitioning, parallel operations, materialized views, and query rewrite in a data warehouseExplain the implementation and organizational issues surrounding a data warehouse projectDefine the terminology and explain the basic concepts of data warehousingDefine the decision support purpose and end goal of a data warehouseDevelop familiarity with some of the technologies required to implement a data warehouseIdentify some of the technology and tools from Oracle to implement a successful data warehouse

Temas Del Curso

IntroductionCourse ObjectivesCourse ScheduleCourse Pre-requisites and Suggested Pre-requisitesThe sh and dm Sample Schemas and Appendices Used in the CourseClass Account InformationSQL Environments and Data Warehousing Tools Used in this CourseOracle 11g Data Warehousing and SQL Documentation and Oracle By ExamplesContinuing Your Education: Recommended Follow-Up Classes

Data Warehousing, Business Intelligence, OLAP, and Data Mining Data Warehouse Definition and PropertiesData Warehouses, Business Intelligence, Data Marts, and OLTPTypical Data Warehouse ComponentsWarehouse Development ApproachesExtraction, Transformation, and Loading (ETL)The Dimensional Model and Oracle OLAPOracle Data Mining

Defining Data Warehouse Concepts and TerminologyData Warehouse Definition and PropertiesData Warehouse Versus OLTPData Warehouses Versus Data MartsTypical Data Warehouse ComponentsWarehouse Development ApproachesData Warehousing Process Components Strategy Phase DeliverablesIntroducing the Case Study: Roy Independent School District (RISD)

Business, Logical, Dimensional, and Physical ModelingData Warehouse Modeling Issues


Defining the Business ModelDefining the Logical ModelDefining the Dimensional ModelDefining the Physical Model: Star, Snowflake, and Third Normal FormFact and Dimension Tables CharacteristicsTranslating Business Dimensions into Dimension TablesTranslating Dimensional Model to Physical Model

Database Sizing, Storage, Performance, and Security ConsiderationsDatabase Sizing and Estimating and Validating the Database SizeOracle Database Architectural AdvantagesData PartitioningIndexingOptimizing Star Queries: Tuning Star QueriesParallelismSecurity in Data WarehousesOracle’s Strategy for Data Warehouse Security

The ETL Process: Extracting DataExtraction, Transformation, and Loading (ETL) ProcessETL: Tasks, Importance, and CostExtracting Data and Examining Data SourcesMapping DataLogical and Physical Extraction MethodsExtraction Techniques and Maintaining Extraction MetadataPossible ETL Failures and Maintaining ETL QualityOracle’s ETL Tools: Oracle Warehouse Builder, SQL*Loader, and Data Pump

The ETL Process: Transforming DataTransformationRemote and Onsite Staging ModelsData AnomaliesTransformation RoutinesTransforming Data: Problems and SolutionsQuality Data: Importance and BenefitsTransformation Techniques and ToolsMaintaining Transformation Metadata

The ETL Process: Loading DataLoading Data into the WarehouseTransportation Using Flat Files, Distributed Systems, and Transportable TablespacesData Refresh Models: Extract Processing EnvironmentBuilding the Loading ProcessData GranularityLoading Techniques Provided by OraclePostprocessing of Loaded DataIndexing and Sorting Data and Verifying Data Integrity

Refreshing the Warehouse DataDeveloping a Refresh Strategy for Capturing Changed DataUser Requirements and AssistanceLoad Window Requirements


Planning and Scheduling the Load WindowCapturing Changed Data for RefreshTime- and Date-Stamping, Database triggers, and Database LogsApplying the Changes to DataFinal Tasks

Materialized ViewsUsing Summaries to Improve PerformanceUsing Materialized Views for Summary ManagementTypes of Materialized ViewsBuild Modes and Refresh Modes Query Rewrite: OverviewCost-Based Query Rewrite ProcessWorking With Dimensions and Hierarchies

Leaving a Metadata TrailDefining Warehouse MetadataMetadata Users and TypesExamining Metadata: ETL MetadataExtraction, Transformation, and Loading MetadataDefining Metadata Goals and Intended UsageIdentifying Target Metadata Users and Choosing Metadata Tools and TechniquesIntegrating Multiple Sets of MetadataManaging Changes to Metadata

Data Warehouse Implementation ConsiderationsProject ManagementRequirements Specification or DefinitionLogical, Dimensional, and Physical Data ModelsData Warehouse ArchitectureETL, Reporting, and Security ConsiderationsMetadata ManagementTesting the Implementation and Post Implementation Change ManagementSome Useful Resources and White Papers



Oracle Data Integrator 12c: New Features

Duration: 1 Day

What you will learn

This Oracle Data Integrator workshop details the new features and techniques of using Oracle Data Integrator 12c (ODI)

for implementing high-performance movement. Expert Oracle University instructors will help you explore transformation

of data among various platforms.

Learn To:

Perform transformation of data among various platforms using Oracle Data Integrator 12c .

Design ODI Mappings and Packages to perform ELT data transformations.

Benefits to You

Investing in this course will teach you how to improve performance and reduce integration costs across your

organization's heterogeneous systems. Centralize data across databases using your new skills to perform data

integration, design mappings, debug integration projects and enhance ODI security.

Explore ODI Studio

ODI Studio is the new declarative ODI12c flow-based user interface. Learn how to use it to administer the IT

infrastructure and metadata, develop projects and for monitor executions.

Efficient Data Transformation

Learn how to use the Common Administration Model for the configuration of ODI agents, and how to design ODI

mappings with various components, and how to use parallel target tables load and in-session parallelism for efficient

data transformations.

Oracle Warehouse Builder and Oracle GoldenGate

For large enterprise deployments, there is almost always a need for enterprise data extraction, loading, and

transformation. Taking this course will teach you how to implement integration of ODI in an Enterprise environment with

products like Oracle Warehouse Builder and Oracle GoldenGate.

ODI Security

Learn how to enhance the ODI security by integration with OPSS Enterprise Roles.

Important

This course assumes you have a working knowledge of Oracle Data Integrator 11g.

AudienceBusiness AnalystsData Warehouse Developer





Database AdministratorsProcess Developer

Related Training


Basic knowledge of ELT data processing

Working knowledge of using ODI

Suggested PrerequisitesOracle Data Integrator 11g: Integration and Administration

Course ObjectivesDesign ODI mappings and packages to perform ELT data transformations

Implement multiple target loads and in-session parallelism

Describe methods of integration of ODI 12c in Enterprise environment

Perform debugging ODI mappings and packages using Step-by-Step debugger

Become familiar with various ODI components

Develop data transformation projects by using ODI 12c Declarative flow-based user interface

Course Topics

IntroductionThe Benefits of Using ODI 12cOverview of ODI 12g Architecture and ComponentsThe features of New ODI 12c User Interface and its ComponentsOverview of ODI 12g New Features

Developing Mapping in ODI 12cCreating Mappings with Various ComponentsCreating Reusable MappingsImplementing Multiple Target Tables LoadsExecuting Mappings in Parallel

Step-by-Step DebuggerBenefits of Using Step-by Step DebuggerOverview of the Features of Step-by-Step DebuggerDebugging Mappings using the DebuggerDebugging Packages using the Debugger

Integration of ODI in Enterprise Environment and Using Common Administration Model


Overview of Methods of Integration of ODI in Enterprise EnvironmentIntegration of ODI with Manager Cloud ControlIntegration of ODI with Warehouse BuilderIntegration of ODI with Oracle GoldenGateIntegration of ODI with OPSS RoleConfiguring ODI Agents using Common Administration Model


Oracle University | Contact Us: 001-855-844-3881

Oracle Data Integrator 12c: Integration and Administration

Duration: 5 Days

What you will learn

Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements from

high-volume, high-performance batch loads, to event-driven integration processes and SOA-enabled data services.

Oracle Data Integrator's Extract, Load, Transform (E-LT) architecture leverages disparate RDBMS engines to process

and transform the data - the approach that optimizes performance, scalability and lowers overall solution costs.

Learn To:

Use Oracle Data Integrator to perform transformation of data among various platforms.

Design ODI Mappings, Procedures, and Packages to perform ELT data transformations.

Administer ODI resources and set up security with ODI.

Perform data integration and transformation among various platforms.

Use the ODI graphical interface to define procedures, packages, and ELT jobs.

Set up and maintain a secure, multi-user ODI environment.

Implement Changed Data Capture with ODI.

Use ODI Web services and perform integration of ODI with SOA.

Benefits to You

Improve performance and reduce integration costs across your organization's heterogeneous systems. Centralize data

across databases using your new skills to perform data integration, design ODI Mappings, and set up ODI security.

Implement High-Performance Movement and Transformation

This offering details on how to use Oracle Data Integrator (ODI) 12c to implement high-performance movement and

transformation of data among various platforms.

ODI Graphical User Interface

The training covers usage of ODI graphical user interfaces that enable users to access different ODI components and

resources that form ODI infrastructure.

ODI Repositories

Using the graphical interfaces, you create and manage ODI repositories, which store configuration information about the

IT infrastructure, the metadata for all applications, projects, models and other ODI artifacts.

ODI Topology, Models, Mappings, and other

You also learn how to create the ODI Topology, organize ODI models and design ODI Mappings, procedures, packages

and other objects.

This course is based on Oracle Data Integrator 12c (12.1.2)





AudienceBusiness AnalystsData ModelersData Warehouse AdministratorDatabase AdministratorsSOA ArchitectTechnical Consultant

Related Training



Suggested PrerequisitesWorking knowledge of SQL

Course ObjectivesDescribe ODI Model concepts

Describe architecture of Oracle Data Integrator 12c

Apply ODI Topology concepts for data integration

Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations

Explore, audit data, and enforce data quality with ODI

Administer ODI resources and setup security with ODI

Implement Changed Data Capture with ODI

Use ODI Web services and perform integration of ODI with SOA

Course Topics

IntroductionIdentifying the Course UnitsWhat is Oracle Data Integrator?Why Oracle Data Integrator?Overview of ODI ArchitectureOverview of ODI ComponentsAbout Graphical Modules Types of ODI Agents Overview of Oracle Data Integrator Repositories

Administering ODI Repositories and AgentsAdministrating the ODI Repositories


Creating Repository Storage Spaces Creating and Connecting to the Master Repository Creating and Connecting to the Work Repository Managing ODI Agents Creating a Physical Agent Launching a Listener, Scheduler and Web Agent Example of Load Balancing

ODI Topology ConceptsOverview of ODI TopologyAbout Data Servers and Physical SchemasDefining the Physical ArchitectureDefining the Logical ArchitectureMapping Logical and Physical ResourcesDefining AgentsDefining a TopologyPlanning the Topology

Describing the Physical and Logical ArchitectureOverview of Topology NavigatorCreating Physical ArchitectureCreating a Data Server Testing a Data Server Connection Creating a Physical Schema Creating Logical ArchitectureOverview of Logical Architecture and Context ViewsLinking the Logical and Physical Architecture

Setting Up a New ODI ProjectOverview of ODI ProjectsCreating a New ProjectCreating and Maintaining FoldersOrganizing Projects and FoldersUnderstanding Knowledge ModulesExchanging ODI Objects and Sharing Global ObjectsExporting and Importing ObjectsCreating and Labeling with Markers

Oracle Data Integrator Model ConceptsWhat is a Model?Understanding Metadata in ODIUnderstanding Reverse EngineeringCreating ModelsOrganizing ModelsCreating Data storesConfiguring Constraints in ODICreating Keys and References

Organizing ODI Models and Creating Data stores What is a Mapping?Business Rules for MappingsCreating a Basic Mapping


What is a Join?What is a Filter?What is a Constraint?What is a Staging Area?

ODI Mapping ConceptsWhat is a Mapping? Business Rules for MappingWhat is a Mapping, a Filter, a Join?Overview of Integration ProcessWhat is a Staging Area?Execution LocationMapping with Knowledge Modules (KM)Creating an Intermediate Mapping

Designing MappingsDesigning a MappingMultiple Source Data storesCreating JoinsFiltering DataDisabling TransformationsOverview of the FlowSpecifying the Staging AreaSelecting Knowledge Modules

Mapping: Monitoring and DebuggingMonitoring MappingsCreating Objects with Operator Viewing Sessions and Tasks How to Monitor Execution of a MappingHow to Troubleshoot a Session Keys to Reviewing the Generated Code Working with Errors Tips for Preventing Errors

Designing Mappings: Advanced TopicsMapping with Business RulesOverview of Business Rule ElementsCreating and Tracking VariablesCreating User Functions Mapping Substitution MethodsModifying a KMShowing Variable Values in LogCustomizing Reverse Engineering Using RKM

Creating and Running ODI proceduresWhat is a Procedure?Examples of ProceduresCreating ProceduresAdding Commands Adding Options Running a Procedure


Viewing Results with Operator

Creating and Running ODI PackagesWhat is a Package?Creating a PackageExecuting a PackageCreating Advanced PackagesError HandlingControlling an Execution PathCreating a LoopUsing the Advanced tab

Managing ODI Scenarios and VersionsWhat is a Scenario?Managing Scenarios with Load PlansPreparing Scenarios for DeploymentAutomating Scenario ManagementScheduling the ODI ScenarioOverview of ODI version management Handling concurrent changes

Enforcing Data Quality and Auditing Data with ODIWhy Data Quality?When to Enforce Data Quality?Data Quality in Source ApplicationsData Quality Control in the Integration ProcessData Quality in the Target ApplicationsEnforcing Data QualityExploring Your DataAuditing Data Quality

Working with Changed Data CaptureOverview of ODI version management Techniques of Changed Data Capture Changed Data Capture in ODICDC Strategies and InfrastructureCDC ConsistencyCreating Change Data Capture (CDC)Viewing Data/Changed dataJournalizing

Administering ODI Resources: Advanced TopicsUsing Open ToolsInstalling Open ToolsUsing Open Tools in a PackageUsing Open Tools in a Procedure or in a KMDeveloping Your Own Open ToolsSetting Up ODI SecurityDefining Security PoliciesDefining Password Policies

Creating Web Services and Integration of ODI with SOA


Web Services in ActionUsing Data ServicesSetting Up Data ServicesTesting Data ServicesInstalling Public Web Services Using Public Web ServicesInvoking Web Services Integrating ODI with SOA

Extending ODI with the SDKCoding SDK Public InterfacesIntegrating through ODI SDK Examining SDK examples



Oracle Data Integrator 11g: Advanced Integration and Development

Duration: 3 Days

What you will learn

This Oracle Data Integrator training covers advanced techniques for using Oracle Data Integrator 11g (ODI). Learn to

implement high-performance movement and transformation of data among various platforms.

Learn To:

Perform data integration and transformation among various platforms using advance techniques.

Design advanced ODI interfaces, procedures and packages to perform EL-T data transformations.

Set up ODI security by implementing strongly secured approach with non-generic profiles and external user

authentication.

Develop and customize Knowledge Modules with substitution methods and Java.

Automate ODI tasks using Groovy script editor.

Implement various integration strategies with ODI using best practices.

Use ODI Web services and perform integration of ODI in an Enterprise environment and SOA.

Benefits to You

Improve performance and reduce integration costs across your organizations' heterogeneous systems. Centralize data

across databases using your new skills to perform data integration, design advanced ODI interfaces, setup ODI security,

and automate ODI tasks.

Administering the IT infrastructure & Metadata

This course will help you learn to use the ODI Studio for developing projects and models. Expert Oracle instructors will

also explore how to monitor executions through instruction and hands-on exercises.

Advanced ODI development for High-Performance Data Integration

Furthermore, this course will teach you how to perform advanced ODI topology configuration. Learn to design advanced

ODI interfaces, procedures, packages and other objects for high-performance data integration among various

technologies.

Perform Extract Load Transform (EL-T) in Enterprise Environment

For enterprise SOA deployments, there is almost always a need for enterprise data extraction, loading and

transformation. By leveraging the native SOA architecture within Oracle Data Integrator, this course will help you

perform EL-T from SOA applications.





You'll also learn how to implement the integration of ODI in an Enterprise environment and in SOA. In addition, this

course will teach you how to execute ODI transformation from a BPEL process.

Apply Strongly Secured Approach

Taking this course will help you learn how to enhance the ODI security by applying the Strongly Secured Approach and

by implementing External Authentication. This course is based on Oracle Data Integrator 11g(11.1.1.6).

AudienceBusiness AnalystsData ModelersData Warehouse AdministratorDatabase AdministratorsSOA ArchitectTechnical Consultant

Related Training


Basic Knowledge of ODI 11g


Basic knowledge of SQL

Suggested PrerequisitesOracle Data Integrator 11g: Integration and Administration

Working Knowledge of ODI 11g

Working knowledge of SQL

Course ObjectivesDevelop and enhance Knowledge Modules

Design advanced integration interfaces

Automate ODI tasks using ODI Groovy editor

Enhance ODI security with strongly secured approach

Expose ODI Scenarios as Web services

Integrate ODI in Enterprise environment and SOA


Describe best practices for implementing integration strategies

Describe Various ODI Integration Patterns

Course Topics

Developing ODI Knowledge ModulesOverview of Different Types of KMsGuidelines for KM DevelopersWorking with Substitution Methods Applying Various ODI Tags Implementing Java in KMs Troubleshooting and Debugging KMs

Designing Advanced Integration InterfacesDesigning Integration Interfaces: E-LT and ETL - Style InterfacesSelecting LKM and Mono-Connection (Single Technology) IKM Applying Best Practices for Integration Interfaces DesignDesigning Temporary InterfacesImplementing LookupsCombining Multiple DatasetsUsing Set-Based OperatorsPartitioning ODI Datastores

Using variablesDescribing a Variable's ScopeInserting Variables in Object PropertiesUsing Variables within Variables Defining Variables in the Resource Name of a Datastore Applying Variables in Topology ObjectsSetting Variables as Start Up ParametersTracking Variables

Using Groovy in ODIInteracting Programmatically with ODIOverview of ODI SDKIntroduction to GroovyUsing Groovy EditorAutomating Development Tasks with Groovy

Using Complex FilesWhat are Complex FilesDetermining Technical Requirements for Complex Files ProjectApplying nXSD Schema: an ExampleSetting up the Topology for Complex FilesCreating and Reverse-Engineering a Complex Files ModelDesigning an Interface with Complex Files

Enhancing ODI Security Overview of ODI Security


Best Practices for Enhancing ODI SecurityApplying Non-Generic ProfilesConfiguring External AuthenticationConfiguring LDAP for External Authentication with ODI

Integration of ODI in Enterprise EnvironmentConfiguring Java EE AgentMonitoring ODI Environment with Enterprise ManagerMonitoring ODI Environment with ODI Console

Integration of ODI within SOAWorking with Web Services with ODIOverview of Public Web ServicesInvoking Web Services from ODIExposing ODI Scenario as a Web Service Configuring the OdiInvokeWebService ToolExecuting an ODI Scenario from a BPEL Process within SOA

Choosing Integration Strategies: Best PracticesSelecting Integration Strategies Loading and Integration PatternsSelecting Staging Area LocationWorking with Slowly Changing DimensionsWorking with Changed Data CaptureUsing ODI with Oracle Golden Gate


Diplomado ODI 11G Y 12C - Certificatic ODI 11G Y 12C Duración: 250 horas. Horario: Sabatino de 8:00...

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Transcript of Diplomado ODI 11G Y 12C - Certificatic ODI 11G Y 12C Duración: 250 horas. Horario: Sabatino de 8:00...