AWS Data Engineering Training | AWS Data Engineering Course.pptx
- 1. Subtitle: An Overview of AWS Data Engineering Tools & Technologies Key AWS Services for Data Engineering
- 2. Introduction to AWS Data Engineering • AWS provides a comprehensive suite of services for data engineering. • Enables efficient data ingestion, processing, storage, and analysis. • Helps organizations build scalable and cost- effective data pipelines.
- 3. AWS Data Ingestion Services • 1. AWS Kinesis – Real-time streaming data processing. 2. AWS DataSync – Automates data transfers between on-premises and AWS. 3. AWS Glue DataBrew – No-code tool for preparing and cleaning data. 4. AWS Transfer Family – Securely transfers files using SFTP, FTPS, FTP.
- 4. AWS Data Storage Services • 1. Amazon S3 – Scalable object storage for structured & unstructured data. 2. Amazon RDS – Managed relational database service. 3. Amazon Redshift – Cloud data warehouse for analytics. 4. Amazon DynamoDB – Fully managed NoSQL database for high-speed applications.
- 5. AWS Data Processing & Transformation Services • 1. AWS Glue – Serverless ETL for data preparation & transformation. 2. AWS Lambda – Serverless function for event-driven data processing. 3. Amazon EMR – Managed big data framework (Apache Spark, Hadoop). 4. AWS Step Functions – Orchestrates workflows for data pipelines.
- 6. AWS Analytics & Query Services • 1. Amazon Athena – Serverless SQL queries on S3 data. 2. Amazon QuickSight – BI and visualization tool for data insights. 3. AWS Lake Formation – Simplifies building secure data lakes.
- 7. AWS Machine Learning & AI Integration • 1. Amazon SageMaker – Fully managed ML model development & training. 2. AWS Comprehend – NLP service for text analytics. 3. AWS Forecast – Time-series forecasting with ML.
- 8. AWS Data Security & Governance • 1. AWS IAM – Access control & identity management. 2. AWS KMS – Encryption for securing data at rest & transit. 3. AWS CloudTrail – Logging & auditing of AWS service activities.
- 9. Conclusion & Final Thoughts • AWS provides end-to-end data engineering services. • Selecting the right services depends on specific data requirements. • AWS enables scalable, cost-efficient, and secure data processing. • Future of data engineering: AI-driven automation & real-time analytics.