AWS Data Engineer online course - AWS Data Analytics Training
                     AWS Data 
Engineering: Master 
Cloud Data Pipelines
A Complete Guide to Building Modern Data 
Solutions
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7032290546
Introduction to AWS Data 
Engineering
 What is Data Engineering?
 Importance of cloud-based data solutions
 Why AWS for data engineering?
 Key use cases in modern industries
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7032290546
Core AWS Services for Data 
Engineering
 Amazon S3 for data storage
 AWS Glue for ETL processes
 Amazon Redshift for data warehousing
 Amazon Kinesis for real-time streaming
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7032290546
Designing Scalable Data 
Pipelines
 Data ingestion strategies (batch vs real-time)
 Structuring pipelines for scalability
 Leveraging AWS managed services
 Importance of automation in pipelines
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7032290546
Data Ingestion and Storage
 Using Amazon S3 as a data lake
 Streaming data with Kinesis Firehose
 Integrating with external data sources
 Ensuring durability and availability
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Data Transformation with 
AWS Glue
 Serverless ETL workflows
 Schema detection and cataloging
 Cleaning and transforming raw data
 Integration with other AWS analytics tools
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Data Warehousing and 
Analytics
 Redshift for structured queries
 Querying across S3 with Redshift Spectrum
 Amazon Athena for serverless querying
 BI integration with QuickSight
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7032290546
Security and Best Practices
 IAM roles and permissions for data security
 Encrypting data at rest and in transit
 Monitoring pipelines with CloudWatch
 Cost optimization strategies
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7032290546
Career Benefits and 
Conclusion
 High demand for AWS data engineers
 Opportunities in cloud-native industries
 Certification and skill validation
 Future trends in data engineering with AWS
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7032290546
Contact
 Azure DevOps 
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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7032290546