DataStage is a data integration tool that allows professionals design, develop, and run jobs to move and transform data. Our DataStage certification course is for anyone who is keen on excelling the ins and outs of this ETL tool. It comprises lessons on data warehousing, fundamentals of ETL and data integration. DataStage tool is a part of the IBM’s information platform solutions suite and also of InfoSphere. DataStage also uses graphical notations for constructing data integration solutions. A DataStage developer typically analyzes the needs of various users and then he designs, tests and develop software to meet those needs.
Course Objectives:
In this course, you will learn to:
- DataStage concepts and their significance, and its architecture.
- Parts of DataStage Parallelism, Transformer Stage, and File stockpiling
- Troubleshooting and extraction utilizing Teradata Connector
- DataStage Design execution
- 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
Course content
Data Warehouse Basics
- An introduction to Data Warehousing
- Purpose of Data Warehouse
- Data Warehouse Architecture
- Operational Data Store
- OLTP Vs Warehouse Applications
- Data Marts
- Data marts Vs Data Warehouses
- Data Warehouse Life cycle
Data Modeling
- Introduction to Data Modeling
- Entity Relationship model (E-R model)
- Data Modeling for Data Warehouse
- Normalization process
- Dimensions and fact tables
- Star Schema and Snowflake Schemas
ETL Design Process
- Introduction to Extraction
- Transformation & Loading
- Types of ETL Tools
- Key tools in the market
Data Stage Administrator
- Data stage project Administration
- Editing projects and Adding Projects
- Deleting projects and Cleansing up project files
- Environmental Variables
- Environment management
- Auto purging
- Runtime Column Propagation(RCP)
- Add checkpoints for sequencer
- NLS configuration
- Generated OSH (Orchestra Engine)
- System formats like data timestamp
- Projects protect – Version details
Data Stage Director
- Introduction to Data stage Director
- Validating Data stage Jobs
- Executing Data stage jobs
- Job execution status
- Monitoring a job, Job log view
- Job scheduling
- Creating Batches
- Scheduling batches
Data Stage Designer
- Introduction to Data stage Designer
- Importance of Parallelism
- Pipeline Parallelism
- Partition Parallelism
- Partitioning and collecting (In depth coverage of partitioning and collective techniques)
- Symmetric Multi Processing (SMP) and Massively Parallel Processing (MPP)
- Introduction to Configuration file
- Editing a Configuration file
- Partition techniques
- Data stage Repository Palette
- Passive and Active stages
- Job design overview
- Designer work area
- Annotations and Creating jobs and Importing flat file definitions
- Managing the Metadata environment
- Dataset management
- Deletion of Dataset
- Routines
Working With Parallel Job Stages
- Database Stages, Oracle, ODBC, Dynamic RDBMS
- File Stages, Sequential file, Dataset
- File set, Lookup file set
- Processing Stages, Copy, Filter, Funnel
- Sort, Remove duplicate, Aggregator, Switch
- Pivot stage, Lookup, Join, Merge
- Difference between look up, join and merge
- Change capture, External Filter, Surrogate key generator
- Transformer, Real time scenarios using different Processing Stages – Implementing different logics using Transformer
- Debug Stages, Head, Tail, Peek
- Column generator, Row generator
- Write Range Map Stage, Real Time Stages, XML input
- XML output, Local and Shared containers
- Routines creation, Extensive usage of Job parameters
- Parameter Sets, Environmental variables in jobs
- Introduction to predefined Environmental variables creating user defined Environmental variables
- Implementing the same in parallel jobs
Advanced Stages In Parallel Jobs
- Explanation of Type1 and Type 2 processes
- Implementation of Type1 and Type2 logics using Change Capture stage and SCD Stage
- Range Look process
- Surrogate key generator stage
- FTP stage
- Job performance analysis
- Resource estimation
- Performance tuning
Job Sequencers
- Arrange job activities in Sequencer
- Triggers in Sequencer
- Restablity
- Recoverability
- Notification activity
- Terminator activity
- Wait for file activity
- Start Loop activity
- Execute Command activity
- Nested Condition activity
- Exception handling activity
- End Loop activity
- Adding Checkpoints
- Jobs used in different real time scenarios
- Explanation of Sequence Job stages through different Jobs
IBM Information Server Administration Guide
- IBM Web Sphere Data stage administration
- Opening the IBM Information Server Web console
- Setting up a project ion the console
- Customizing the project dashboard
- Setting up security
- Creating users in the console
- Assigning security roles to users and groups
- Managing licenses
- Managing active sessions
- Managing logs
- Managing schedules
- Backing up and restoring IBM Information Server
- Additional Features
- Performance Tuning of Parallel Jobs
- Data stage Installation process and setup
- Project Explanation
To see the full course content Download now
Course Prerequisites
- Basics of programming and database fundamentals are enough to learn DataStage.
Who can attend
- Professionals from Analyst background.
- Web Developers
- Software Developers
- Graduates looking for a career in Android.
- Freshers / Professionals from any field
Number of Hours: 30hrs
Certification
IBM Certified Solution Developer - InfoSphere DataStage v11.3 Certification.
Key features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
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- Materials
- Preparing for Certification
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