Mastering Data Integration (ETL) with IBM DataStage
What you'll learn
- Fundamentals of Data Integration: Understand the core concepts and types of data integration and explore real-world examples.
- Navigating IBM Information Server: Get acquainted with the components of IBM Information Server and its role in data integration.
- IBM Information Server Administration: Learn to navigate the IBM Information Server Administration Console and practice essential administrative tasks.
- Exploring IBM DataStage: Dive into the architecture of IBM DataStage, its key components, and practical uses
- Developing in IBM DataStage: Work hands-on in DataStage, create projects, explore job types, and utilize design elements for parallel processing.
- DataStage Administration: Acquire practical skills in DataStage administration, including user management, permissions, and environment variables.
- Metadata Management: Practice metadata management using DataStage Designer, importing, and exporting components.
- Creating Parallel Jobs: Engage in practical sessions to create parallel jobs, define parameters, and document your jobs effectively.
- Accessing Sequential Data: Hands-on experience in handling sequential data, utilizing the Sequential File stage, and managing reject links.
- Implementing Partitioning and Collecting Algorithms: Gain practical insights into partition parallelism, partitioning algorithms, and collecting strategies.
- Combining Data with Stages: Work with Lookup, Join, Merge, and Funnel stages, and practice their applications in real-world scenarios.
- Group Processing Stages: Learn to sort data effectively, remove duplicates, and utilize Aggregator stages in practical exercises.
- Transforming Data: Practice using the Transformer stage, constraints, and debugging techniques for data transformation.
- Repository Functions: Explore practical aspects of using the repository, finding differences between jobs, and performing impact analyses.
- Working with Relational Data: Engage in hands-on activities involving connector stages, reading and writing to database tables, and utilizing data connection ob
- Job Sequence Control: Gain practical experience in creating job sequences, defining triggers, and managing job activities through various stages.
- Real Practice: AWS Cloud Integration: Apply your skills to integrate data with AWS Cloud services in real-world scenarios.
- Real Practice: Data Vault 1.0 & 2.0 Integration: Practical exercises in integrating Data Vault concepts into your data integration projects.
Requirements
- Basic Understanding of Data Concepts: A fundamental grasp of data concepts is recommended. Students should understand terms like data sources, data transformation, and data loading.
- SQL Knowledge (Optional): While not mandatory, having some familiarity with SQL (Structured Query Language) can be beneficial, especially when working with relational databases.
- Access to IBM DataStage: Ideally, students should have access to IBM DataStage software to practice and follow along with the course.
- IBM DataStage Software (Optional): If students want to practice the skills learned in the course, having access to IBM DataStage software is beneficial
- Desire to Learn: A genuine interest in data integration and a willingness to learn and practice the concepts taught in the course are essential.
Description
Unlock the power of data integration with IBM DataStage, the industry-leading ETL (Extract, Transform, Load) tool. In this comprehensive course, you'll embark on a journey from data integration basics to advanced techniques, empowering you to harness the full potential of your data.
What You'll Learn:
Foundations of Data Integration: Begin by understanding the core concepts and types of data integration, laying a strong foundation for your journey.
IBM Information Server: Explore the IBM Information Server ecosystem and its vital components to comprehend where DataStage fits in.
Hands-On Administration: Get hands-on with DataStage administration tasks, managing users, roles, and permissions with ease.
Mastering Metadata: Learn to work effectively with metadata, a crucial aspect of data integration, to streamline your processes.
Parallel Jobs Creation: Dive into parallel job creation, understand its intricacies, and design efficient parallel jobs.
Accessing Sequential Data: Master the art of accessing sequential data, a crucial skill in data integration.
Advanced Algorithms: Explore partitioning and collecting algorithms, vital for efficient data processing.
Combine Data Effectively: Get comfortable with stages like Lookup, Join, Merge, and Funnel to combine data seamlessly.
Group Processing Stages: Learn to group process data, sort it, and aggregate it effectively.
Transformer Stage: Dive deep into the Transformer stage and its capabilities for data transformation.
Repository Functions: Understand repository functions, impact analysis, and how to compare different jobs.
Relational Data Integration: Work with relational data using connector stages, read from and write to database tables.
Job Sequence Control: Master job sequencing, control the flow of jobs, and create complex workflows.
Real-world Practice: Apply your knowledge in real-world scenarios with practical AWS Cloud and Data Vault integration sessions.
Who this course is for:
- Data Professionals: Data analysts, data engineers who want to enhance their data integration skills using IBM DataStage.
- IT Professionals: IT specialists, software developers, and database administrators who need to work with data integration solutions.
- Business Analysts: Business analysts who want to understand how data integration impacts their data-driven decision-making processes.
- Students and Graduates: Students pursuing degrees or recent graduates looking to build a foundation in data integration and expand their job prospects.
- IBM DataStage Users: Users of IBM DataStage looking to deepen their knowledge, explore advanced features, and improve their job performance.
- Anyone Interested in Data Integration: If you have a general interest in data integration and want to learn how IBM DataStage can be used for these purposes, this course is suitable for you.
Instructors
- 4.2 Instructor Rating
- 164 Reviews
- 2,085 Students
- 24 Courses
I am an experienced and accomplished author with a deep passion for data strategy and management. With over 15 years of hands-on experience in the IT industry, I have gained extensive knowledge and expertise in various domains, including banking, insurance, retail, and more.
Throughout my career, I have held several senior positions such as:
- Data Division Director of an insurance company
- Deputy Data Governance & Analytics of the Group (Real Estate, Retail, Hospitality, Commerce, ...)
- Deputy Chief Data Officer cum Senior IT Strategy Expert
- Head of Data & Analytics Service
- Project Director/ Project Manager
- Enterprise & Solution Architect of bank
That have allowed me to make significant contributions to the field. And right now, as a director of Data Division, I played a pivotal role in shaping data initiatives and driving the effective use of data within organizations. Additionally, as a Data Governance & Analytics expert, I focused on establishing robust data governance frameworks and harnessing the power of analytics to drive actionable insights.
With my diverse background and extensive industry experience, I have developed a strong understanding of the challenges and opportunities in the data management landscape. Through my work as an author, I am dedicated to sharing my knowledge, insights, and practical strategies with students like you.
- 4.2 Instructor Rating
- 155 Reviews
- 1,913 Students
- 16 Courses
Data expert with 15 yeas experience in banking industry.
Data engineer for banking industry.
With 15 years working as IT expert in banking, data engineer, I have gained extensive knowledge and expertise in data domain.
Focusing on building data architecture, data model (data warehouse/datalake) and integrating between variuos system in banking, e.x configurate ETL system, ETL pipeline for datawarehouse, datalake for banking
Experience with modern data technologies: datalake, datavaults, data opps, bigdata processing, data processing on cloud...
- 4.2 Instructor Rating
- 155 Reviews
- 1,913 Students
- 16 Courses
I'm an IT and Banking/Finance industry with:
*Experience:
- 19+ years in IT
- 16+ years in Finance and Banking
- 12+ years in IT management
*Technical Expertise:
- Software development
- System integration
- Project management
- Software analysis
- Database construction
- Data expert
*Industry Knowledge:
- Banking operations
- IT solutions for banking
- IT organizational structures in finance and banking
*Business Acumen:
- Profound understanding of banking business operations
- Experience in analyzing business requirements
- Successful execution of IT projects in finance and banking
With my extensive experience and work history, I strive to develop courses that closely mirror real-world scenarios, enabling students to apply concepts effectively and orient themselves in practical situations. Thank you for your support!