/Chapter Concepts
Chapter
Chapter Concepts
Explore all concepts in this chapter.
Data Engineering on AWS & the DEA-C01 Domains
easy
Data Ingestion — Batch vs Streaming Patterns
easy
Streaming Ingestion — Kinesis Data Streams & Amazon MSK
medium
Amazon Kinesis Data Firehose
medium
AWS Glue — ETL, Crawlers & the Data Catalog
medium
Amazon EMR & Big Data Frameworks
medium
Orchestration — Step Functions, MWAA & EventBridge
medium
File Formats, Partitioning & Compression
medium
Data Migration & Transfer — DMS, DataSync, AppFlow
medium
Amazon S3 as a Data Lake
medium
Amazon Redshift — Cloud Data Warehouse
medium
Purpose-Built Databases — DynamoDB, RDS/Aurora & OpenSearch
medium
Querying — Athena, Redshift Spectrum & S3 Select
medium
Monitoring & Operations — CloudWatch, CloudTrail & Systems Manager
medium
Data Security & Encryption — IAM, KMS, Macie & Secrets Manager
medium
Data Governance — Lake Formation & Glue Data Quality
hard
Apply Programming Concepts — IaC, SAM & CI/CD
hard
Data Modeling & Schema Evolution
hard
Ensuring Data Quality
medium
Analyzing & Visualizing Data
medium
Vector Search & Generative AI Data
hard