DEA-C01 study notes
- Data ingestion and transformation DEA-C01 notes on streaming and batch ingestion, Kinesis, Firehose, MSK, DMS, AppFlow, throttling, Glue ETL, EMR, Lambda, file formats, orchestration with Step Functions, MWAA and Glue workflows, and the programming concepts (SQL, CI/CD, IaC, SAM, Git) behind pipelines. 34%
- Data store management DEA-C01 notes on choosing between S3, Redshift, DynamoDB, RDS and other stores, Redshift design and loading, Spectrum and federated queries, the Glue Data Catalog and crawlers, S3 lifecycle, versioning and TTL, data modeling, partitioning and schema evolution. 26%
- Data operations and support DEA-C01 notes on automating data processing, Athena, DataBrew, QuickSight, analysis techniques, monitoring with CloudWatch and CloudTrail, log analysis, performance troubleshooting and data quality with Glue Data Quality and DataBrew. 22%
- Data security and governance DEA-C01 notes on authentication and authorization for data services, IAM and Lake Formation, Redshift permissions, secrets, KMS encryption at rest and in transit, masking, audit logging with CloudTrail and CloudTrail Lake, PII with Macie, data sharing, Config and Region restrictions. 18%