DataStage Administrator Training

Course level:All Levels

This DataStage Administrator Training provides in-depth knowledge and skills to develop parallel DataStage careers with real-world examples. It includes all the aspects of DataStage, from basic to advanced level tactics, and prepares you for the clearance of the DataStage Qualification Test. In the first place, this course helps project managers and ETL developers to learn the skills required to build contemporary DataStage work. The focus is on the developers. Therefore, administrative roles applicable to DataStage developers are addressed thoroughly. As a result, students can learn how to construct parallel jobs that control sequential and relational data and merge and transform data using functions and other job components.

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DataStage Architecture

What’s the DataStage?

  • Work Specification for Extraction, Transformation and Loading (ETL)  
  • Ideal tool for data integration projects – such as data warehouses, data marts, and device migration 
  • Import, export, create and managed metadata for use within jobs.
  • Schedule, run and track all functions inside the DataStage 
  • Administer the creation and execution environments of your DataStage.
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DataStage Administrator Training – Learn Online

DataStage Administrator Online Training highlights:

  1.  Here we provide case studies for DataStage Online Training. And also In-depth course material with Real Time Scenarios for each particular subject with its DataStage Online Training Solutions. 
  2.  Nisa Training schedules sessions based on your convenience with our highly qualified instructors and real-time Industry experts. 
  3.  We also have Standard Track, Fast Track and Weekend Batches for DataStage Online Training. 
  4.  We will provide participants with the video recordings of your registered sessions for further reference. 
  5.  At Nisa we have cost-effective and flexible payment systems.
What are the Objectives of DataStage Online Training?
  • Firstly, describe the uses of DataStage and the DataStage workflow.
  • Explain the architecture of the Database System and how it suits DataStage.
  • Specify the options for implementation of the Database Server and DataStage.
  • Use the Information Server Web Console and the DataStage Administrator client to create DataStage users and configure the DataStage environment.
  • Import and export DataStage objects to a file.
  • Import table definitions for sequential files and relational tables.
  • Design, compile, run, and monitor DataStage parallel jobs.
  • Implement complex business logic using the DataStage Transformer stage.
  • Describe the DataStage parallel processing architecture.
  • Designing jobs that combine data using joins and lookups.
  • Design jobs that read and write to sequential files.
  • We are designing tasks that sort and aggregate data.
  • Debug DataStage jobs using the DataStage PX Debugger.
What are the core skills that you will gain?
The core skills that you will gain are as follows:
  1. DataStage concepts and their significance, and its architecture.
  2. Parts of DataStage Parallelism, Transformer Stage, and File stockpiling
  3. Troubleshooting and extraction utilizing Teradata Connector
  4. DataStage Design execution.

Why should you learn DataStage to grow your career?

  1. According to Research and Markets, the global Big Data Analytics market is expected to reach $40.6 billion by the next four years.
  2. The demand for trained DataStage professionals will increase due to its growing popularity across multiple organizations around the globe.
  3. On average, a DataStage developer can earn around $122,000 per annum – Indeed.

Why should you choose  Nisa for DataStage Administrator Training?

 

Nisa Trainings is the best online training platform where we conduct one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. However, our faculty is well connected with Hiring HRs in multinational companies. We support you even after the completion of the course and are happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you are working on Datastage and facing any problem while working on it, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to help them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:
  • We receive your enquiry about Online Job Support.
  • We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re using.
  • If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, then only we will agree to provide service. And then you have to make the payment to get the service from us.
  • We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
DataStage Training
Duration: 30 Hours
Timings: Weekdays  (1-2 Hours per day) [OR]  Weekends (2-3 Hours per day)
Training Method:  Instructor Led Online One-on-One Live Interactive Sessions.

 

COURSE CONTENT :

 

1. Introduction to DataStage and ETL
  • Overview of ETL and Data Integration
    • Understanding ETL processes (Extract, Transform, Load)
    • Role of DataStage in ETL and Data Integration
  • IBM DataStage Overview
    • Key features and capabilities
    • DataStage architecture and components
    • DataStage deployment models (Client-Server, Distributed)

2. DataStage Architecture
  • Client-Server Architecture
    • DataStage Designer, Director, and Administrator clients
    • DataStage Engine and Repository components
    • Role of metadata repository
  • Key DataStage Components
    • DataStage Engine
    • DataStage Director
    • DataStage Designer
    • DataStage Administrator
    • DataStage Repository
  • DataStage Job Execution Flow
    • Job compilation and execution
    • Interaction between DataStage components

3. Installation and Configuration
  • System Requirements and Pre-installation Tasks
    • Hardware and software prerequisites
    • Configuring databases (Oracle, DB2, SQL Server, etc.)
  • Installing IBM DataStage
    • Installation steps for DataStage on different platforms (Windows, Linux)
    • License configuration
  • Configuring DataStage
    • DataStage Administrator console
    • Configuring engine, clients, and repositories
    • Network and security configuration
  • DataStage User and Group Management
    • Managing DataStage users and roles
    • Setting up user access and permissions
    • Security best practices

4. DataStage Job Management
  • Job Design and Execution Overview
    • Introduction to DataStage jobs (parallel and server jobs)
    • Job parameters and environment variables
    • Job monitoring and debugging
  • Job Scheduling and Automation
    • Integration with IBM Workload Scheduler
    • Configuring job sequences and dependencies
  • Job Failures and Troubleshooting
    • Common causes of job failures
    • Diagnosing and fixing job issues (logs, error messages)
    • Job performance tuning and optimization

5. DataStage Repository Management
  • Understanding the Repository
    • Repository structure and metadata storage
    • Accessing and managing metadata
  • Backup and Recovery of DataStage Repositories
    • Performing backups of repository and engine
    • Restoring DataStage jobs and configurations
  • Repository Cleanup and Maintenance
    • Removing unused or obsolete objects
    • Repository optimization techniques

6. DataStage Administration Tasks
  • Administering DataStage Server
    • Configuring DataStage Engine settings
    • Monitoring server health and performance
    • Managing job logs and historical data
  • Performance Tuning
    • Tuning parallel jobs for performance
    • Optimizing job performance for large datasets
    • Monitoring and analyzing job performance metrics
  • DataStage Security Administration
    • Role-based security configuration
    • User access management and auditing
    • Securing data and managing encryption

7. Managing DataStage Projects
  • Creating and Managing Projects
    • Creating new projects and repositories
    • Moving projects between environments (Dev, QA, Production)
  • Version Control in DataStage
    • Managing versioning of jobs and components
    • Migrating jobs between environments
    • Using DataStage version control tools

8. DataStage Cluster and High Availability
  • Clustered Environment Setup
    • Setting up DataStage in a multi-node or clustered environment
    • Load balancing and fault tolerance
  • High Availability Setup
    • Configuring high availability for DataStage server and engine
    • Disaster recovery and failover setup

9. Integrating with Other Systems
  • DataStage Integration with Databases
    • Connecting DataStage to various data sources (SQL, NoSQL, Cloud)
    • Database-specific configuration and tuning
  • Integrating with Other IBM Products
    • Integration with IBM InfoSphere Information Server
    • Integration with IBM Data Governance and Data Quality tools
  • Web Services and REST APIs in DataStage
    • Exposing and consuming web services through DataStage jobs

10. Troubleshooting and Advanced Techniques
  • Advanced Troubleshooting
    • Using DataStage logs for debugging
    • Resolving performance issues and bottlenecks
  • DataStage Logs and Diagnostics
    • Interpreting log files for error identification
    • Troubleshooting common job execution issues
  • Upgrades and Patches
    • Applying patches and upgrades to DataStage environments
    • Version compatibility and migration best practices

What I will learn?

  • IBM DataStage, its architecture and features
  • DataStage parallelism aspects, file storage, and transformer stage
  • Creating a sample DataStage job
  • Development, debugging and extraction using Teradata Connector
  • Difference between Lookup, Join and Merge steps
  • DataStage Design implementation

Requirements

  • Basic knowledge of Windows operating system
  • Familiarity with database access techniques

Target Audience

  • Professionals from Analyst backgrounds.
  • Web Developers
  • Software Developers
  • Graduates who are looking forward to a career in Android should get this certification course.
  • Freshers / Professionals from any field.

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