Packt
4 weeks to complete at 10 hours a week
This specialization prepares you to become an AWS data engineer by teaching you to build data pipelines, process large datasets, and manage workflows using key AWS services.
This specialization is ideal for data analysts, software developers, data scientists, and IT professionals who want to transition into data engineering roles or strengthen their AWS expertise. It's also suitable for students and working professionals seeking to understand how large-scale data pipelines operate in the cloud and how to build them efficiently using AWS services.
The specialization covers everything from foundational concepts in data engineering to advanced topics such as AWS Glue for ETL, Amazon Redshift for data warehousing, Amazon Kinesis and MSK for real-time streaming, Amazon EMR for big data workloads, and AWS Lake Formation for building data lakes. The course also explores querying with Athena, visualizing data with QuickSight, orchestrating workflows, and managing data migration and integration across AWS ecosystems.
Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
By completing this training, you'll build the technical foundation and applied knowledge required for AWS-based data engineering roles. It also serves as strong preparation for AWS certifications such as the AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate, boosting your professional credibility and career prospects in cloud data engineering.
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