AWS Kinesis Training
Introduction to AWS Kinesis
AWS Kinesis is a platform for real-time data streaming and analytics. This course provides an overview of AWS Kinesis services, including Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics, and Kinesis Video Streams, and their roles in building real-time data processing applications.
Overview of AWS Kinesis Services
Learn about the core components of AWS Kinesis: Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics, and Kinesis Video Streams. Understand their specific use cases and how they integrate to handle real-time data ingestion, processing, and analysis.
Data Streaming with Kinesis Data Streams
Gain insights into Kinesis Data Streams, a service for collecting and processing large streams of data records in real-time. Learn how to create, configure, and manage data streams, and how to build applications that consume and process data from these streams.
Real-Time Data Delivery with Kinesis Data Firehose
Explore Kinesis Data Firehose, a fully managed service for delivering real-time streaming data to various destinations. Learn how to set up and configure delivery streams to send data to Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and other data stores.
Real-Time Analytics with Kinesis Data Analytics
Discover how to use Kinesis Data Analytics to process and analyze streaming data in real-time. Learn how to write SQL queries to perform real-time analytics and visualize data, and how to integrate with other AWS services for end-to-end analytics solutions.
Streaming Video with Kinesis Video Streams
Learn about Kinesis Video Streams, a service for collecting, processing, and analyzing streaming video data. Understand how to ingest and store video streams and integrate with machine learning models for video analysis and processing.
Building Real-Time Data Pipelines
Explore how to build end-to-end real-time data pipelines using AWS Kinesis services. Learn about integrating Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics to create scalable and reliable data processing workflows.
Monitoring and Troubleshooting
Discover techniques for monitoring and troubleshooting AWS Kinesis applications. Learn how to use AWS CloudWatch, Kinesis monitoring tools, and logs to track performance, troubleshoot issues, and ensure the reliability of your data streams.
Security and Compliance
Learn about security and compliance practices for AWS Kinesis. Understand how to implement data encryption, access control, and auditing to protect your data streams and ensure compliance with regulatory requirements.
Cost Management and Optimization
Understand cost management strategies and optimization techniques for AWS Kinesis. Learn about pricing models for different Kinesis services and explore best practices for managing and reducing costs while maintaining high performance.
Case Studies and Real-World Applications
Review case studies and real-world applications of AWS Kinesis. Learn from practical examples of how organizations have used AWS Kinesis to build real-time data processing solutions and gain insights from their streaming data.
AWS Kinesis Syllabus
Introduction to AWS Kinesis
- Overview of AWS Kinesis
- Use cases and benefits
- Key components (Streams, Firehose, Analytics, Video Streams)
Kinesis Data Streams
- Setting up Data Streams
- Data producers and consumers
- Data retention and shard management
- Scaling and partitioning data
Kinesis Data Firehose
- Overview and architecture
- Configuring delivery streams
- Data transformation and compression
- Integration with AWS services (S3, Redshift, Elasticsearch)
Kinesis Data Analytics
- Introduction to real-time analytics
- SQL for Kinesis Data Analytics
- Creating and managing applications
- Analyzing streaming data in real-time
Kinesis Video Streams
- Introduction to video streams
- Setting up and managing video streams
- Integrating with AWS AI/ML services
- Use cases (surveillance, machine learning)
Security and Monitoring
- Access control and encryption
- Monitoring Kinesis with CloudWatch
- Logging and auditing
Deep Dive into Kinesis Architecture
- In-depth understanding of data streams architecture
- Shard management and scaling strategies
- Partition key design for optimal performance
Advanced Data Streams Configuration
- Custom data producers and consumers
- Enhanced fan-out and HTTP/2
- Using the Kinesis Client Library (KCL)
Optimizing Kinesis Data Firehose
- Custom transformations with AWS Lambda
- Error handling and data backup strategies
- Integrating with third-party services and analytics platforms
Advanced Kinesis Data Analytics
- Complex stream processing with Apache Flink
- Windowing functions and event time processing
- Building custom applications with the Kinesis Data Analytics SDK
Kinesis Video Streams Advanced Topics
- Advanced configurations and streaming protocols
- Integrating with Amazon Rekognition and SageMaker
- Handling large-scale video processing
Security and Compliance
- Advanced encryption mechanisms (server-side and client-side)
- Fine-grained access control with IAM policies
- Best practices for compliance and data privacy
Performance Tuning and Optimization
- Throughput management and scaling best practices
- Latency optimization techniques
- Cost management and budgeting
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details