Key Features Of AWS Data Engineer Training In Hyderabad
Why Choose Us
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Ingesting Data from various sources (databases, APIs)
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Transforming and Cleaning Data
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Weekly Test + Weekend Doubt clearing class
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Comprehensive Curriculum
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Hands-On Training
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Expert Gen AI Coaches
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Free Demo Class
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100% Guaranteed Placement Assistance
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Free Interview preparation Sessions
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Flexible Learning Modes
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Project-Based Learning
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Affordable Fees
Course Content Of AWS Data Engineer Training In Hyderabad
Course Content
Introduction to Data Engineering and AWS
What is Data Engineering?
Role of Data Engineers
Why AWS for Data Engineering?
Overview of AWS global infrastructure
Setting up AWS account and billing alarms
Core AWS Services Overview
Introduction to:
Amazon S3 (Simple Storage Service)
Amazon EC2 (Elastic Compute Cloud)
IAM (Identity and Access Management)
Amazon RDS (Relational Database Service)
Understanding AWS CLI and SDKs
Security best practices and IAM policies
Data Storage and Lake Formation
Introduction to Data Lakes
Amazon S3: Storage tiers, versioning, lifecycle policies
AWS Lake Formation:
Building a secure data lake
Creating data catalogs and permissions
Partitioning and organizing data in S3
Data Ingestion Techniques
Batch Ingestion:
AWS DataSync
AWS Snowball (large-scale data transfers)
Streaming Ingestion:
Amazon Kinesis Data Streams
Amazon Kinesis Firehose
Kafka on AWS (MSK)
Real-world ingestion pipelines
Data Transformation & ETL
Introduction to ETL vs ELT
AWS Glue:
Glue Jobs (Python, Scala)
Glue Crawlers and Data Catalog
Glue Studio and Glue Workflows
Using AWS Lambda for lightweight transformation
Introduction to Amazon EMR (Spark, Hive, Presto)
Data Warehousing
Introduction to data warehousing concepts
Amazon Redshift:
Architecture
Loading data from S3
Redshift Spectrum (query S3 directly)
Performance tuning and optimization
Connecting Redshift to BI tools
Querying and Analytics
Using Amazon Athena to query data in S3
Schema-on-read concepts
Creating partitions for faster queries
Query optimization techniques
Quick integration with Glue Catalog
Orchestration and Workflow Automation
Introduction to Data Orchestration
AWS Step Functions
AWS Glue Workflows
Introduction to Amazon MWAA (Managed Apache Airflow)
Event-driven ETL pipelines with EventBridge and Lambda
Business Intelligence and Visualization
Overview of BI tools on AWS
Creating dashboards using Amazon QuickSight
Connecting QuickSight to Redshift, Athena, S3
Building interactive reports
AWS Data Engineering
AWS Data Engineer Training in Hyderabad
Whether you're a student, a working professional, or a career switcher, our training programs are tailored to your needs. Join us and master data science with one of Hyderabad's top-rated institutes.
Key AWS Services for Data Engineering
Data engineering is the discipline of designing and building systems for collecting, storing, and analyzing data at scale. The goal is to create data pipelines that clean, transform, and organize raw data into usable formats for analytics and machine learning.
- Data Ingestion
- Data Storage
- Data Transformation & ETL
- Orchestration & Workflow Management
- Data Cataloging & Governance
- Analytics & Machine Learning
- Building Scalable Pipelines
- Managing Data Storage (Data Lakes, Warehouses)
- Scheduling and Orchestration
- Monitoring and Optimization
Features List
Where is Used AWS Data Engineering ?
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E-Commerce & Retail Kinesis (real-time tracking), Glue (ETL), S3 (data lake), Redshift (analytics), SageMaker (ML)
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Healthcare & Life Sciences AWS Glue, S3 (encrypted), Lake Formation, Redshift, SageMaker
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Financial Services (Banking, Insurance, Fintech) Kinesis (streaming), DynamoDB (fast storage), Athena (SQL queries), QuickSight (dashboards)
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Media & Entertainment EMR (Spark processing), S3, SageMaker, Glue, QuickSight
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Telecommunications Kinesis, S3, Redshift, Glue, ML services
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Education & EdTech Lambda, S3, QuickSight, Redshift, Glue
Skills Required for AWS Data Engineers
Proficiency in SQL, Python, and Spark
Understanding of cloud architecture and data modeling
Experience with ETL, streaming, and data pipeline orchestration
Familiarity with DevOps tools (CI/CD, Terraform, CloudFormation)
Our Services
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Online
- Basic to advanced level
- Daily recorded videos
- Live project included
- Course Material Dumps
- 100% Placement assistance
Offline
- Basic to advanced level
- Daily recorded videos
- Live project included
- Course Material Dumps
- 100% Placement assistance
Corporate
- Whatsapp Group Access
- Doubt Clearing Sessions
- Live project included
- Course Material Dumps
- 100% Placement assistance
"Transitioning from a Zonal Manager to a Data Scientist was a bold move, but Provoke Trainings made it seamless. The curriculum was comprehensive, and the hands-on projects were invaluable. I now apply advanced analytics daily to solve complex business problems.
Mahesgh Goud