AWS Data Engineering online training - AWS Data Analytics
                     AWS Analytics Stack: Data Lake, 
ETL, Warehousing, Streaming
• End-to-end architecture for scalable data 
analytics
• Covers ingestion, transformation, storage 
and real-time processing
• Designed for modern cloud data engineering
• High-performance analytics using serverless 
AWS tools
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90546
What Is the AWS 
Analytics Stack
• Collection of AWS services for data processing and 
analytics
• Supports batch, real-time and machine-learning 
workloads
• Enables unified data lake and warehouse 
architecture
• Handles ingestion, ETL, governance and 
visualization
• Built for cost-efficient, scalable cloud environments
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AWS Data Lake 
Components
• Amazon S3 as the central data lake 
storage layer
• AWS Lake Formation for governance 
and security
• Glue Data Catalog for unified metadata 
cataloging
• S3 lifecycle policies for cost 
optimization +91-70322
90546
• Stores structured, semi-structured and 
unstructured data
ETL and Data 
Processing on AWS
• AWS Glue for serverless ETL and transformation
• AWS Glue Studio for visual ETL pipeline design
• AWS Lambda for serverless lightweight 
transformations
• Amazon EMR for Spark and Hadoop-based 
processing
• Workflow orchestration using AWS Step 
Functions
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Real-Time Streaming 
Analytics
• Amazon Kinesis Data Streams for real-time ingestion
• Kinesis Firehose for streaming delivery into S3 or 
Redshift
• Kinesis Analytics for SQL-based streaming insights
• Amazon MSK for Kafka-based streaming pipelines
• Supports low-latency processing for logs and IoT 
data
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Data Warehousing on 
AWS
• Amazon Redshift for scalable cloud data 
warehousing
• Columnar storage for fast analytical 
queries
• Redshift Spectrum to query S3 directly
• Materialized views for performance 
optimization
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• Integrates with BI tools like Quick9S05ig46ht 
and Tableau
AWS Analytics Architecture 
– How It Works
• Data is ingested using batch loads or streaming 
services
• Raw data stored in S3 as the central data lake
• Transformation performed through AWS Glue or 
Amazon EMR
• Processed data loaded into Redshift for analytics
• BI dashboards built using Amazon QuickSight
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Benefits of AWS 
Analytics Stack
• Fully managed and highly scalable architecture
• Serverless options reduce infrastructure overhead
• Unified governance through AWS Lake Formation
• Supports batch, real-time and machine learning 
workloads
• End-to-end integration across AWS analytics 
ecosystem
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90546
Contact
AWS Data Engineering
Address:- Flat no: 205, 2nd Floor, Nilgiri 
Block, Aditya Enclave, Ameerpet, 
Hyderabad-1 
• Ph. No: +91-7032290546 
• Visit: www.visualpath.in 
• E-Mail: [email protected]
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90546
THANK 
YOU
                                                Visit: 
www.visualpath.in
+91-70322
90546