AWS Data Analytics - AWS Data Engineering online training
                     Your First Step into 
AWS Data 
Engineering
+91-7032290546
What is AWS Data Engineering
• It is the process of designing data workflows using 
AWS services
• Focuses on moving, processing, and preparing data 
for analytics
• Involves both batch and real-time data handling
• Helps build scalable and cloud-native data pipelines
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Why Choose 
AWS for Data Engineering
• AWS offers ready-to-use services that reduce setup 
and maintenance
• Integrates easily with big data, machine learning, 
and reporting tools
• Scales automatically with data growth and usage 
needs
• Global infrastructure provides speed, reliability, and 
security
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Core AWS Services You Will Use
• AWS Glue manages extract, transform, load tasks 
without servers
• Amazon Redshift provides fast, SQL-based data 
warehousing
• Amazon Kinesis supports real-time data streaming 
and ingestion
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How AWS Data 
Workflows Function
•Ingest data from files, logs, APIs, or third-party platforms
•Clean and transform data using Glue, Lambda, or EMR
•Analyze with tools like Athena, QuickSight, or third-
party BI
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Building Your First AWS Data 
Project
• Upload a sample dataset like sales or 
logs into Amazon S3
• Write a basic ETL job to format and 
enrich the data
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Skills You Should Develop Early 
• Learn data formats like CSV, JSON, 
and Parquet 
• Understand SQL basics and how 
queries work on large datasets
•   Get familiar with the AWS 
Management Console and service 
setup
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Common Mistakes and How to 
Avoid Them
• Avoid hardcoding paths and use 
parameterized jobs for flexibility 
• Do not ignore security best practices; 
manage access through IAM 
•  Monitor every step using CloudWatch 
to catch errors early 
•  Keep your pipeline modular and easy 
to update or debug 
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Moving Ahead in Your AWS 
Journey
•  Take on more complex tasks like real-
time dashboards or ML integration 
•  Explore certifications like AWS Data 
Analytics or Solutions Architect 
•  Contribute to projects or case studies 
to strengthen your portfolio 
•  Keep learning through AWS blogs, 
events, and hands-on labs 
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Slide Title
Contact
AWS for 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
+91-7032290546