Prepare for DEA-C01 with our classroom and online AWS Certified Data Engineer - Associate training at WebAsha Technologies. The course teaches the knowledge and skills that the AWS exam tests.
Training Overview:
The DEA-C01 exam tests your ability to build and manage data pipelines and data stores on AWS. It has four domains: Data Ingestion and Transformation, Data Store Management, Data Operations and Support, and Data Security and Governance. Services covered include Glue, Kinesis, Redshift, Athena, EMR and Lake Formation.
Intended Audience:
This course is for aspiring and practising data engineers, ETL developers and analytics engineers who want to build data pipelines and data stores on AWS.
Topics Covered:
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Data Ingestion: Batch and streaming ingestion.
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Data Transformation: ETL with Glue and EMR.
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Data Stores: S3, Redshift and DynamoDB.
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Analytics: Athena, Redshift and QuickSight.
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Orchestration: Pipelines and workflows.
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Data Operations: Monitoring, troubleshooting and data quality.
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Security and Governance: Lake Formation and IAM.
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Cost and Performance: Tuning pipelines for cost and speed.
Requirements:
Online participants need a stable internet connection and a laptop or desktop. The programme includes trainer-led sessions and practice tests.
Pre-Requisites:
AWS sets no formal prerequisite. Its exam guide describes the target candidate as having the equivalent of 2 to 3 years of data engineering experience and at least 1 to 2 years of hands-on experience with AWS services. Cloud Practitioner or SAA-level knowledge helps.
Career Benefits:
Demand for data engineers is growing. In India, professionals with the AWS Data Engineer certification typically earn ₹6 LPA to ₹36+ LPA.