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Data Science and AI
AWS Data Engineer – Associate
Build and operate data pipelines on AWS (DEA-C01)
A lab-based classroom course in data engineering on AWS. It follows the four domains of the official DEA-C01 exam guide: data ingestion and transformation, data store management, data operations and support, and data security and governance.
10Modules
IntermediateLevel
4 monthsDuration
COURSE THUMBNAIL
What you will be able to do
Ingest and transform batch and streaming data
Orchestrate a data pipeline from source to destination
Choose a data store and design its schema
Monitor pipelines and check data quality
Secure and govern data across a pipeline
Sit the DEA-C01 exam having covered every domain of its guide
Course outline
01
Ingesting batch and streaming data
02
Transforming and processing data
03
Orchestrating data pipelines
04
Choosing a data store
05
Data models, schemas and data catalogs
06
Managing the data lifecycle
07
Operating, maintaining and monitoring pipelines
08
Analysing data and ensuring data quality
09
Authentication, authorization and encryption
10
Data privacy, governance and logging; exam practice
Tools you will use
Amazon S3AWS GlueAmazon RedshiftAmazon AthenaAmazon KinesisAWS LambdaAWS Step FunctionsSQLPython
What you need
Working knowledge of SQL
Basic programming in Python and basic experience with AWS
