AWS Data Lake and AWS Cloud Formation

Lake Formation vs Cloud Formation
AWS Lake Formation Manages Data Lakes, Athena, Redshift, Analytics (AI)
AWS Cloud Formation Automates Provision and Manage Cloud Resources.

Amazon QuickSight (AI)

Building an ETL Pipeline on AWS

Data Ingestion (Extract)

AWS Glue Data Catalog Manage metadata and keep track of your data schema across the pipeline.

AWS Kinesis Data Streams For real-time data ingestion, use Kinesis to collect and process data streams.

Amazon S3 (Simple Storage Service) Store raw data in S3 buckets. Data can come from various sources like logs, databases, or third-party APIs.

Data Transformation

AWS Glue (ETL Service) A fully managed ETL service that can run Apache Spark jobs to transform data. Create Glue jobs to clean, format, and enrich the data.

Lambda Serverless Computing For simple transformations, use Lambda functions to process data in real-time or batch.

AWS EMR (Elastic MapReduce) For more complex transformations requiring big data processing, use EMR to run large-scale data processing frameworks like Hadoop or Spark.

Data Loading

AWS Redshift Load transformed data into a Redshift data warehouse for analytical queries and reporting.

Amazon RDS (Relational Database Service) Supports Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.

Amazon S3 (Simple Storage Service) Store transformed data back in S3 for further use, archival, or as a data lake.

Orchestration, Automation, Monitoring, Performance

Orchestration, Automation

AWS Glue Workflow Orchestration within AWS Glue, allowing to manage ETL job dependencies.

AWS Step Functions Orchestrate the workflow by defining the sequence of AWS services to be executed.

AWS CloudWatch Events Trigger ETL jobs based on schedules or specific events.

Monitoring and Logging

AWS CloudWatch Monitor your ETL jobs and the overall health of the pipeline. Set up alarms for failures or performance issues.

AWS CloudTrail

Log API calls and track the pipeline's activity for auditing purposes.

AWS Glue Data Catalog Manage metadata and keep track of your data schema across the pipeline.

Security and Compliance

IAM Identity Access Management Define roles and policies to control access to resources.

KMS Key Management Service Encrypt data at rest and in transit to ensure security.

AWS Config Inspector Ensure compliance with internal policies and external regulations.

Scaling and Performance

Auto Scaling EC2 EMR Scale your processing resources up or down based on load.

S3 Transfer Acceleration Speed up data transfer to S3 for large datasets.