Course Objectives
1. What exactly Amazon Kinesis training cover?
AWS Kinesis training covers building and managing real-time data streaming solutions—ingesting, processing, analyzing, and delivering continuous streams of data with Kinesis Data Streams, Firehose, and Analytics
2. What are the main objectives of the Amazon Kinesis course for your development skills?
- Gain hands-on skills to collect, stream, and analyze large-scale real-time data.
- Integrate Kinesis with AWS services and automate event-driven analytics solutions
3. Which AWS services integrate with Amazon Kinesis?
Explore integration with AWS Lambda, Amazon S3, Amazon Redshift, Amazon EMR, Amazon CloudWatch, AWS Glue, DynamoDB, and Amazon OpenSearch Service.
4. How does Amazon Kinesis improve real-time analytics?
Learn how stream ingestion, event processing, data transformation, buffering, and automated scaling help organizations process high-volume streaming data efficiently.
Popular Techniques Covered in This Course
1.Kinesis Data Streams setup and configuration
2.Kinesis Data Analytics (SQL, Flink)
3.Data Firehose delivery management
4.Real-time streaming fundamentals
5.Producer/Consumer integration
6.Security (IAM, Encryption)
7.Monitoring and scaling streams
8.Integration with S3, Lambda, Redshift
9.Automation with AWS CLI, SDK, CloudFormation
10.Cost optimization and troubleshooting
Get Hands-on Knowledge about Real-Time Projects
Project 1
1.Real-Time Log Analytics Pipeline:
Collect live application logs with Kinesis Data Streams, process in Kinesis Analytics, and store results in S3 for reporting.
Project 2
2.IoT Data Processing Workflow:
Ingest sensor data from multiple devices into Kinesis, trigger Lambda for real-time alerts, and visualize processed data in QuickSight.
Project 3
3 Clickstream Analytics Project
Create a streaming analytics solution to capture website user activity and customer behavior. Process clickstream events to generate business intelligence and marketing insights.
Project 4
4 Financial Transaction Monitoring Project
Implement a secure real-time processing system to monitor financial transactions using Amazon Kinesis. Detect unusual activity and deliver instant analytical reports.
Project 5
5 Event-Driven Data Pipeline Project
Design a scalable event-driven architecture that streams business data from multiple sources into AWS analytics platforms. Enable continuous processing for enterprise reporting and decision-making.
Key Features
Edubrights offers Amazon Kinesis Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Curriculum
Module 1: Introduction to Streaming and Kinesis
- Streaming concepts and use cases
- Overview of Kinesis suite: Data Streams, Firehose, Analytics, Video Streams
Module 2: Setting Up Data Streams
- Creating and configuring Kinesis Data Streams
- Producers, consumers, and partition keys
Module 3: Data Ingestion and Delivery Writing producers for real-time ingestion Managing consumers and data retrieval Kinesis Data Firehose for delivery to S3, Redshift, Elasticsearch
Module 4: Real-Time Processing and Analytics
- Using Kinesis Data Analytics (SQL & Apache Flink)
- Writing real-time queries and analytics applications
Module 5: Security and Access Control
- IAM roles and policies for Kinesis
- Encryption and data privacy
Module 6: Monitoring, Scaling, Optimization
- CloudWatch integration for metrics and alarms
- Shard scaling and performance tuning
- Cost management practices
Module 7: Integrations and Automation
- Integrating with Lambda, Glue, and other AWS services
- Automating pipelines with CLI, SDKs, CloudFormation
Module 8: Advanced Features and Use Cases
- Handling late-arriving and out-of-order data
- Geo-distributed streaming, replay, and retention
Module 9: Capstone Project
- Building end-to-end real-time streaming analytics workflow with Kinesis
Receive Training From Our Skilled and Effective Trainers
Experience in the Industry Gain knowledge from experts with practical Amazon Kinesis project experience in a variety of sectors.
Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.
Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.
Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.
Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.
Succeed Our Resourceful Certification
Our institution offers a respected AWS Kinesis certification validating your expertise in real-time streaming data solutions. You’ll build automated streaming pipelines, integrate analytics, and demonstrate scalable data processing skills through hands-on cloud projects.
Course FAQs
1. What is AWS Kinesis?
Kinesis is AWS’s managed service for ingesting, processing, and analyzing real-time streaming data from hundreds of sources
2. How is Kinesis different from SQS or SNS?
Kinesis is built for high-throughput, ordered, and replayable real-time data for analytics, while SQS/SNS are for simpler messaging use cases
3. What types of data can Kinesis handle?
Logs, clickstreams, IoT telemetry, social media feeds, audio, and video
4. Can I integrate Kinesis with data lakes or analytics tools?
Yes, Kinesis streams deliver to S3, Redshift, Elasticsearch, and integrate with Lambda, Glue, and Athena
5. How does Kinesis Data Firehose differ from Data Streams?
Firehose streams data directly to destinations with automatic scaling; Data Streams offers more control for custom applications
6. What is the default retention for Kinesis Data Streams?
24 hours, extendable up to 365 days
7. How do you process real-time data with SQL?
By using Kinesis Data Analytics to write SQL queries over streaming data
8. Can you scale Kinesis?
Yes, by increasing the number of shards for higher throughput
9. How does Kinesis handle security?
IAM roles and policies, KMS encryption, SSL in transit
10. What is a typical use case for Kinesis?
Live analytics dashboards, streaming ETL, IoT telemetry pipelines, and fraud detection
11. Is Amazon Kinesis suitable for IoT applications?
Yes. It is widely used for processing and analyzing real-time data generated by IoT devices and sensors.
12. How does Amazon Kinesis improve business decision-making?
It enables organizations to analyze live data instantly, detect events quickly, and respond to business changes in real time.
Get Training Quote for Free
Testimonials
Hear What Our Students Say
"Transform your life through Education, hear it from our Alumni"
6 LPA
Fathima
Student
Software Engineer
"Transform your life through Education, hear it from our Alumni"
8 LPA
Siddharth
NIELSON IQ
Data Analyst
"Transform your life through Education, hear it from our Alumni"
8 LPA
Rahul
Student
Data Scientist
