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Mastering Data Integration with IBM DataStage
Published 10/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 58m | Size: 3.3 GB
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.
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