SAP DATA SERVICES 12.2.1/BODI ONLINE TRAINING'S Data Services Training Manual-60 hrs Duration Overview of Data Services Introduction of Data Services Architecture - Data Services Designer - Data Services repository - Data Services Job Servers - Data Services engine - Data Services Access Server - Data Services Address Server - Data Services Administrator - Data Services Metadata Reports applications - Data Services Service - ...DATA
SAP BODS CONTENT
Services engine - Data Services Access Servers - Data Services Address
Server - Data Services Administrators - Data Services Metadata Reports
applications - Data Services
Overview of Data Services
Module 1: Introduction of Data Services Architecture
Topic 1: Data Services Designer
Topic 2: Data Services repository
Topic 3: Data Services Job Server
Topic 4: Data Services engine
Topic 5: Data Services Access Server
Topic 6: Data Services Address Server
Topic 7: Data Services Administrator
Topic 8: Data Services Metadata Reports applications
Topic 9: Data Services Service
Topic 10: Data Services SNMP Agent
Topic 11: Data Services Adapter SDK
Topic 12: Data Services SAP RAPID MARTS
Module 2: Preparing to Install Data Services Client /Server Components
Topic 1: Pre-installation overview
Topic 2: Installation scenarios
Module 3: Repository Creation
Topic 1: Repository database requirements and preparation
Topic 2: Creating a Data Services repository and Selecting a repository
Topic 3: Central versus local repository creations with live examples
Topic 4: Using the Repository Manager.
Topic 5: Multi-user Environment Setup
Topic 6: Activating a central repository
Topic 7: Implementing Central Repository Security
Topic 8: Data Services and multiple users
Topic 9: Security and the central repository
Topic 10: Version Checking.
Topic 11: Adding objects to the centrals repository Checking out
Module 4: Logging into the Designer
Topic 1: Project area
Topic 2: Tool palette
Topic 3: Workspace.
Topic 4: Local object library
Topic 5: Object editors and Working with objects
Module 5: About Projects and Jobs
Topic 1: Executing Jobs
Topic 2: Overview of Data Services job execution
Topic 3: Preparing for job execution
Topic 4: Monitoring Jobs
Module 6: Datastore creation and Overview
Topic 1: Datastores and Data Flows — What is a data flow.
Topic 2: Datastore and system configurations
Topic 3: Multi-user Development
Topic 4: Creating and managing multiple datastore configurations
Topic 5: File Formats and what are file formats?
Topic 6: File format editor ,Creating files formats and Editing file formats
Module 7: Configure a Job Server
Topic 1: Changing Job Server options
Topic 2: Configure an Access Server
Topic 3: To configure Metadata Integrator
Topic 4: To select a web application server
Module 8: Using the Server Manager
Topic 1: Performing a scripted installation
Topic 2: Logging in to the Management Console
Topic 3: Connecting the Data Profiler
Topic 4: Troubleshooting installation problems
Topic 5: Running Data Services components in multi-user mode
Topic 6: Publishing Data Services
Module 9: Transformations and usage in data services
Topic 1: Descriptions of transforms.
Topic 2: Query transforms overview
Topic 3: Data Quality transforms overview
Topic 4: Lookup tables and the lookup_ext function
Module 10: Data flow execution
Topic 1: Creating and defining data flows
Topic 2: Calling data flows to performs data movement operations
Topic 3: Defining the conditions appropriate to run datas flows
Topic 4: Pass parameters to and from data flows
Module 11: Work Flows and what is a work flows How to Creating a work flows
Topic 1: Steps in a work flows and Order of execution in work flows
Module 12: Creating real-time jobs
Topic 1: Real-time source and target objects
Topic 2: Testing real-time jobs
Topic 3: Overview of variables and parameters
Module 13: How to create Variables and Parameters.
Topic 1: Using local variables and parameters and about global variables.
Topic 2: Local and global variable rules.
Module 14: Overview of data quality
Topic 1: Address Cleanse transformation overview
Topic 2: Data Cleanse.
Topic 3: Match
Topic 4: Design and Debug
Topic 5: Using View Data to determine data quality
Topic 6: Using the Validation transform.
Module 15: Understanding changed-data capture
Topic 1: Using CDC with Oracle sources
Topic 2: Using CDC for targets/Sources
Data Services Management Console: Administrator
- Scheduling, monitoring, and executing batch jobs
- Connecting repositories to the Administrator
- Configuring, starting, and stopping real-time services
- Configuring Job Server, Access Servers, and repository usage
- Configuring and managing adapters
- Managing users
- Publishing batches jobs and real-time services via Web services
Functions and ProceduresAbout functions
- Descriptions of built-in functions
Raising Exceptions by usingTry/catch blocks
- Catch error functions and other function calls
- Nested try/catch blocks
- If statements to performs different actions for different exceptions
Job Scheduling using scripting and How to uses Scripts in BODS
- Data Services Scripting Language
- Python
- Python in Data Services
Batch Jobs
- Executing batch jobs, Scheduling jobs and Monitoring batches jobs
Using the Data Profiler
- Defining the profiler repository
- Column level profiling
- Detail profiling
Recovery Mechanisms.
- Recovering from unsuccessful job execution
- Automatically recovering jobs
- Manually recovering jobs using status tables
.avif)