AWS Data Engineering online training - Online Course in India
                     AWS Data Engineering Tools 
and Services Overview
• AWS offers end-to-end services for data 
engineering workflows
• Supports ingestion, processing, storage, 
and analytics
• Handles batch, streaming, and real-time 
data
• Fully managed services reduce 
operational effort
• Scales securely for enterprise wo+rk9l1o-7a0d3s22
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Data Ingestion 
Services on AWS
• Amazon S3 as the landing zone for raw 
data
• AWS Data Migration Service for 
database replication
• Amazon Kinesis for real-time data 
ingestion
• AWS Transfer Family for secure file 
transfers
• Supports structured and unstruct+u9r1e-d70 322
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Data Processing and 
Transformation Tools
• AWS Glue for serverless ETL processing
• Amazon EMR for Spark and Hadoop 
workloads
• AWS Lambda for lightweight 
transformations
• Supports batch and streaming 
processing
• Automatically scales with data volume
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Data Storage and Data 
Lake Services
• Amazon S3 as the central data lake
• Amazon Redshift for data warehousing
• Amazon DynamoDB for NoSQL storage
• Amazon RDS and Aurora for relational 
data
• High durability and cost efficiency
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Analytics and Query 
Services
• Amazon Athena for SQL queries on S3
• Amazon Redshift for analytics and 
reporting
• Amazon OpenSearch Service for log 
analytics
• Integrates with BI tools
• Delivers fast insights
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Streaming and Real-
Time Analytics
• Amazon Kinesis Data Streams for real-
time pipelines
• Kinesis Data Analytics for stream 
processing
• AWS Glue Streaming ETL
• Low-latency event processing
• Ideal for IoT and clickstream data
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Data Security, Governance, 
and Monitoring
• AWS Lake Formation for data 
governance
• AWS IAM for access control
• AWS CloudWatch for monitoring 
pipelines
• Encryption at rest and in transit
• Ensures compliance and security
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End-to-End AWS Data 
Engineering Workflow
• Ingest data from multiple sources
• Transform data using Glue or EMR
• Store curated data in S3 or Redshift
• Analyze data with Athena and BI tools
• Build scalable data pipelines
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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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THANK YOU
                                                Visit: www.visualpath.in
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