This course is ideal for:

1. Data engineers and ETL developers working with AWS-based data integration pipelines
2. Cloud engineers deploying and managing NiFi on AWS environments
3. DevOps engineers managing AWS EC2, S3, VPC, and IAM for data pipelines
4. Technical architects designing AWS-based data ingestion and processing solutions

1. Basic understanding of Apache NiFi concepts
2. Familiarity with AWS fundamentals (EC2, S3, VPC, IAM)
3. Basic networking knowledge (security groups, IP addressing)
4. Understanding of data ingestion and ETL concepts

Course Outline:

Module 1: Overview of AWS

• Introduction to Cloud Computing
• Overview of AWS Architecture and Services
• EC2 (Elastic Compute Cloud)
• S3 (Simple Storage Service)
• VPC (Virtual Private Cloud)
• IAM (Identity and Access Management)
• AWS Regions and Availability Zones
• Key AWS Concepts for Deployment: Security Groups, Key Pairs, and Elastic IPs

Module 2: Introduction to Apache NiFi

• Overview of Data Integration and Flow-based Programming
• What is NiFi?
• Key Features and Benefits
• NiFi Architecture and Components (FlowFiles, Processors, Controllers, etc.)
• Common Use Cases of Apache NiFi in Data Ingestion and ETL Pipelines
• Understanding NiFi’s Role in Real-time Data Processing

Hands-on Lab 1: Basic AWS Setup

• Launching an EC2 Instance
• Creating and Managing S3 Buckets
• Setting up IAM Roles and Policies
• SSH Access to EC2 Instances

Module 3: Preparing AWS Infrastructure for NiFi

• Choosing the Right EC2 Instance Type for NiFi
• Setting Up Security Groups for NiFi
• Configuring VPC for Network Isolation
• Storage Options (EBS vs. S3) and Data Persistence for NiFi

Module 4: Installing Apache NiFi on EC2

• Downloading and Installing NiFi on an AWS EC2 Instance
• Configuring NiFi (Memory, Disk Space, etc.)
• Configuring NiFi for HTTPS
• Installing Java for NiFi
• Starting and Stopping the NiFi Service

Hands-on Lab 2: Installing NiFi

• Launching an EC2 Instance
• Installing Apache NiFi on the Instance
• Accessing NiFi User Interface through AWS
• Configuring Basic NiFi Security (TLS, User Authentication)

Module 5: NiFi Use Cases in Real-world Scenarios

• Data Ingestion with NiFi (Log Files, Sensor Data, Social Media Feeds)
• Real-time Data Streaming with NiFi
• Batch Data Processing and Routing
• Building ETL Pipelines using NiFi

Module 6: Integrating NiFi with AWS Services

• Connecting NiFi to AWS S3 for Data Storage
• Working with AWS RDS (Relational Database Service)
• Setting up NiFi Flows for Data Movement between S3 and RDS
• NiFi Processors for AWS (PutS3Object, FetchS3Object, etc.)

Hands-on Lab 3: Implementing NiFi Use Cases

• Ingesting Data from Local System to S3 using NiFi
• Moving Data Between EC2 and S3
• Processing and Transforming Data before Loading to RDS

Module 7: Advanced NiFi Features

• FlowFile Provenance and Data Lineage
• NiFi Process Groups and Templates
• NiFi Performance Tuning (Thread Pools, Queue Size, etc.)
• Monitoring and Debugging NiFi Flows
• Implementing Load Balancing and High Availability for NiFi

Module 8: AWS Administration for NiFi

• Monitoring EC2 Instances and NiFi Performance (CloudWatch)
• Scaling NiFi on AWS: Auto-scaling Groups and Load Balancers
• Backups and Recovery for NiFi on AWS
• AWS Security Best Practices (IAM, Network Security)

Final Hands-on Lab: End-to-End Data Pipeline

• Creating an End-to-End Data Flow from Source to Destination (S3, RDS)
• Implementing Real-time Data Processing and Storage on AWS

Training material provided: Yes (Digital format)