(SCTP Module) Data Engineering and Migration: Building Data Solutions for Seamless Transition
About This Course
Data Engineering and Migration is a comprehensive course designed to equip learners with the essential skills and knowledge required to build data solutions for seamless transition. Whether you are a seasoned data professional or a beginner, this course will help you gain practical experience in designing and implementing data solutions that can transform your organization's data landscape.
The course will begin by providing an overview of data engineering fundamentals, including data modeling, data warehousing, and data pipeline design. We will examine various tools, technologies, and frameworks used in data engineering and explore how they contribute to building scalable, efficient, and reliable data solutions.
Next, we will delve into data migration strategies and best practices, including migrating data from legacy systems to modern ones. We will discuss common data migration challenges, such as data quality, consistency, and completeness and demonstrate how to address these challenges.
Throughout the course, we will emphasize hands-on exercises and real-world use cases to demonstrate the practical applications of the concepts discussed. We will cover topics such as ETL (Extract, Transform, Load), data integration, and data cleansing, using popular tools such as Apache Spark, AWS Glue, and Google Cloud Dataflow.
What You'll Learn
-Understand data engineering principles
-Apply data engineering principles to meet specific business requirements
-Understand planning and execution of complex data migration strategies including the migration of large volumes of data across diverse platforms
-Develop data migration plan based on business requirements including strategies for minimizing impact of data migration on business operations
-Learn diagnostic tools and troubleshooting techniques for infrastructure technical issues
-Develop action plan for infrastructure upgrade activities
-Develop Standard Operating Procedures for technical support operations
-Learn IT Asset Management principles
-Apply Asset Management principles to prepare an IT Asset Management plan for an organization
Entry Requirements
1) Possess a Minimum Diploma in IT/Computer Science, Science, Technology, Engineering, Mathematics, or Business-related disciplines.
OR
2) Have a minimum of 3 years of relevant work experience, with demonstrated proficiency in foundational digital literacy, an understanding of basic IT infrastructure and data concepts, and proven analytical and problem-solving skills within an operational or business context. Proficiency in English (written, spoken, reading, and listening) to effectively comprehend complex regulatory and technical course materials, engage in discussions, and communicate findings.