IBM
1 week at 10 hours a week
This beginner-friendly course provides an introduction to the field of data engineering, covering core concepts, processes, and tools needed to understand the data engineering ecosystem and the roles of data engineers, data scientists, and data analysts.
No prior experience required. This course is designed for beginners interested in learning about data engineering.
This course covers the following topics: understanding the data engineering ecosystem and the roles of data engineers, data scientists, and data analysts; learning about different types of data, file formats, and data sources; exploring various data repositories like relational databases, NoSQL databases, data warehouses, and data lakes; understanding ETL, ELT, data pipelines, and data integration; gaining an overview of big data processing tools like Hadoop and Spark; and learning about data engineering lifecycle, security, governance, and compliance.
As a market-leading tech innovator, IBM is committed to helping learners thrive in the dynamic technology landscape. Through the IBM Skills Network, they offer expertly designed training programs in data engineering and other in-demand fields to build job-ready, hands-on skills.
This course provides a solid foundation in data engineering, preparing you for entry-level data engineering roles or further specialization in areas like data pipelines, big data processing, data warehousing, and more. With the skills gained, you can pursue careers as a data engineer, data pipeline engineer, data warehouse engineer, or work in related data-centric roles.
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