The Top AWS Data Engineering Online Course in Ameerpet
                     AWS Data 
Engineering 
WHY AWS GLUE IS THE BEST ETL TOOL 
TODAY?
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7032290546
Introduction to AWS Glue
 Serverless ETL service offered by AWS
 Designed for big data processing and analytics
 Handles extract, transform, and load workflows
 Supports both batch and event-driven processing
 Fully integrated with AWS ecosystem
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7032290546
Why Choose AWS Glue for 
ETL?
 Automates ETL code generation using data 
catalog
 Easily handles structured and semi-structured 
data
 Built-in data transformation with PySpark or Scala
 No infrastructure management needed
 Offers scalability for large datasets
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7032290546
Serverless & Cost-Effective
 No need to provision or manage servers
 Pay-as-you-go pricing model
 Automatically scales based on workload
 Reduces operational overhead
 Ideal for startups and enterprise use
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7032290546
Powerful Data Catalog
 Central metadata repository for all your data
 Crawlers automatically update schema changes
 Integrates with Athena, Redshift, and Lake 
Formation
 Supports version control for datasets
 Enables schema evolution without code changes
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7032290546
Flexibility with Programming
 Supports custom ETL scripts in Python or Scala
 Leverages Apache Spark for distributed 
processing
 Developers have full control over transformations
 Easily integrate third-party libraries
 Adapts to varied data processing needs
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7032290546
Integration with AWS Services
 Connects with S3, Redshift, RDS, DynamoDB
 Triggers workflows via Lambda and EventBridge
 Seamless pipeline setup with Step Functions
 Compatible with DataBrew for low-code users
 Secure data flow within AWS network
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7032290546
Real-World Use Cases
 Data lake hydration and data warehousing
 ETL pipelines for machine learning models
 Log and event data aggregation
 Multi-source data migration and unification
 Scheduled or on-demand data refreshes
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7032290546
Final Thoughts – Why AWS 
Glue Wins
 Combines automation, power, and ease of use
 Eliminates traditional ETL complexity
 Fits diverse industries and data volumes
 Keeps pace with modern data engineering needs
 A future-ready tool for scalable ETL workflows
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7032290546
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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7032290546
THANK 
YOU VISIT: WWW.VISUALPATH.IN
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7032290546