AWS Data Analytics Training - AWS Data Engineering training
                     Real-Time Data Engineering 
with AWS Cloud Tools
 Overview of real-time data engineering
 Importance in modern data-driven businesses
 Leveraging AWS Cloud for scalable solutions
 Presenter name & designation
 Date & event/organization
Introduction to Real-Time 
Data Engineering
 Definition of real-time data engineering
 Key objectives: low-latency, high throughput
 Difference between batch and real-time processing
 Benefits: faster insights, improved decision-making
 Increasing relevance in IoT, streaming analytics, and AI
AWS Cloud Tools for Data 
Engineering
 Amazon Kinesis: real-time streaming and analytics
 AWS Lambda: serverless compute for real-time 
processing
 Amazon S3: scalable storage for raw and processed data
 Amazon Redshift & Redshift Spectrum: fast data 
warehousing
 AWS Glue: ETL automation and data cataloging
Real-Time Data Ingestion
 Collect streaming data using Amazon Kinesis Data 
Streams
 Use AWS IoT Core for device-generated data
 Amazon MSK (Managed Kafka) for scalable message 
streaming
 Lambda for event-driven processing
 Ensuring reliable and continuous data flow
Data Processing and 
Transformation
 Real-time ETL with AWS Glue and Lambda
 Stream processing using Kinesis Data Analytics
 Applying filters, aggregations, and enrichments
 Integration with Amazon Redshift and S3 for storage
 Handling schema evolution and data quality
Real-Time Analytics and 
Insights
 Visualization with Amazon QuickSight
 Real-time dashboards for monitoring and alerts
 Machine learning inference with SageMaker endpoints
 KPI tracking and anomaly detection
 Use cases: fraud detection, predictive maintenance, 
personalization
Security, Scalability, and 
Reliability
 AWS IAM and encryption for secure data access
 Auto-scaling of Kinesis, Lambda, and Redshift
 Ensuring high availability and fault tolerance
 Monitoring and logging with CloudWatch
 Cost optimization strategies
Summary & Next Steps
 AWS provides end-to-end real-time data engineering 
tools
 Enables faster, data-driven decisions
 Scalable, secure, and cost-effective solutions
 Key takeaway: real-time insights drive competitive 
advantage
 Next steps: hands-on labs, pilot projects, and 
certifications
Contact Us
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Hyderabad-16
Mobile No: +91 7032290546
[email protected]
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