Skip to content
Home
About
Our Core Team
Tutors
Courses
Stem Robotics
Gallery
Contact Us
Home
About
Our Core Team
Tutors
Courses
Stem Robotics
Gallery
Contact Us
Login
Home
About
Our Core Team
Tutors
Courses
Stem Robotics
Gallery
Contact Us
Home
About
Our Core Team
Tutors
Courses
Stem Robotics
Gallery
Contact Us
Home
All Courses
Technology
AWS Data Engineering
AWS Data Engineering
Curriculum
7 Sections
26 Lessons
13 Weeks
Expand all sections
Collapse all sections
Module 1: Foundations of Data Engineering
5
1.1
Basics of Data Engineering
1.2
Data Warehousing vs. Data Lakes vs. Lakehouses
1.3
OLTP vs OLAP Systems
1.4
Batch vs Streaming Data
1.5
ETL vs ELT Concepts
Module 2: Core AWS Services for Data Engineering
4
2.1
AWS IAM: Roles, Policies, Security Best Practices
2.2
Amazon EC2: Launching and managing compute instances
2.3
Amazon S3: Buckets, Lifecycle Policies, Object Storage Classes
2.4
AWS Lambda: Basics, Triggers, Event-driven architecture
Module 3: Data Ingestion & Storage
3
3.1
Batch Ingestion Using AWS Glue, S3, Lambda
3.2
Streaming Ingestion: Amazon Kinesis Data Streams, Amazon Kinesis Firehose, AWS MSK (Managed Kafka)
3.3
Storage: Amazon S3 (Lake), Amazon RDS (Relational DBs), Amazon DynamoDB (NoSQL), Amazon Redshift (Data Warehouse)
Module 4: Data Processing & Transformation
4
4.1
AWS Glue: Crawlers, Jobs, Development Endpoints Glue Studio for visual workflows
4.2
AWS Glue PySpark Jobs: Reading/Writing from S3, Redshift, JDBC
4.3
AWS EMR: Hadoop, Spark, Hive on EMR
4.4
Lambda for lightweight ETL
Module 5: Data Orchestration & Workflow
3
5.1
AWS Step Functions : Chaining multiple AWS services
5.2
Amazon Managed Workflows for Apache Airflow (MWAA) DAGs, Schedulers, Operators, Sensors
5.3
AWS Glue Workflows Dependency management of Glue Jobs
Module 6: Data Analytics & Visualization
3
6.1
Amazon Athena Serverless SQL over S3
6.2
Amazon Redshift Data Warehousing, Spectrum for S3 queries
6.3
Amazon QuickSight Dashboards and Business Intelligence
Module 7: DevOps, Monitoring & Security
4
7.1
AWS CloudWatch : Logs, Alarms, Metrics
7.2
AWS CloudTrail: API call monitoring
7.3
AWS CodePipeline + CodeBuild CI/CD for Data Pipelines
7.4
Best Practices : Data Encryption (KMS), VPC, Subnets, Security Groups, Cost Optimization Techniques
This content is protected, please
login
and
enroll
in the course to view this content!
Modal title
Main Content
