AWS Certified Data Engineer - Associate

Date - Feb-March 2024

Implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices.
Ingest and transform data, and orchestrate data pipelines while applying programming concepts.
Choose an optimal data store, design data models, catalog data schemas, and manage data lifecycles.
Operationalize, maintain, and monitor data pipelines. Analyze data and ensure data quality.
Implement appropriate authentication, authorization, data encryption, privacy, and governance. Enable logging.

Streaming and transforming data with Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (MSK)
Queuing messages with Simple Queue Service (SQS)
Orchestrating data pipelines with Amazon AppFlow, Amazon EventBridge, AWS Step Functions, and Amazon Managed Workflows for Apache Airflow (MWAA)
Transitioning from small to big data with the AWS Database Migration Service (DMS), AWS DataSync, Snow Family, Transfer Family, and more
Storing massive data lakes with the Simple Storage Service (S3) and managing data lifecycles
Optimizing transactional queries with DynamoDB, DocumentDB, Keyspaces, and MemoryDB
Tying your big data systems together with AWS Lambda
Making unstructured data query-able with AWS Glue, Glue DataBrew, and Lake Formation
Processing data at unlimited scale with Elastic MapReduce, including Apache Spark
Applying advanced machine learning algorithms at scale with Amazon SageMaker
Searching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) Service
Querying S3 data lakes with Amazon Athena
Hosting massive-scale data warehouses with Redshift and Redshift Spectrum
Integrating smaller data with your big data, using the Relational Database Service (RDS)
Keeping your data secure with encryption, KMS, Macie, Secrets Manager, IAM, and more
Managing and governing your systems with CloudFormation, CloudTrail, CloudWatch, AWS Config, and more

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