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AWS
Amazon Kinesis
Amazon Kinesis
Curriculum
9 Sections
27 Lessons
10 Weeks
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Introduction to Amazon Kinesis
3
1.0
Overview of Amazon Kinesis
1.0
Key Components and Services
1.0
Use Cases for Real-Time Data Processing
Understanding Kinesis Data Streams
3
2.0
Concepts of Kinesis Data Streams
2.0
Setting Up Kinesis Data Streams
2.0
Configuring Shards and Stream Settings
Setting Up and Managing Kinesis Data Streams
3
3.0
Producing Data to Kinesis Data Streams
3.0
Consuming Data from Kinesis Data Streams
3.0
Managing Stream Lifecycles and Data Retention
Configuring Kinesis Data Firehose for Data Delivery
3
4.0
Overview of Kinesis Data Firehose
4.0
Setting Up and Configuring Delivery Streams
4.0
Integrating Firehose with Storage and Analytics Services
Using Kinesis Data Analytics for Real-Time Analytics
3
5.0
Introduction to Kinesis Data Analytics
5.0
Creating and Managing SQL Applications
5.0
Real-Time Data Analysis and Transformation
Integrating Kinesis with Other AWS Services
3
6.0
Combining Kinesis with AWS Lambda
6.0
Using Kinesis with Amazon S3 and Amazon Redshift
6.0
Integrating Kinesis with Amazon Elasticsearch Service
Monitoring and Troubleshooting Kinesis
3
7.0
Monitoring Kinesis Metrics with CloudWatch
7.0
Setting Up Alarms and Notifications
7.0
Troubleshooting Common Issues and Performance Tuning
Best Practices for Performance Optimization and Cost Management
3
8.0
Optimizing Kinesis Performance
8.0
Managing Costs and Budgeting Strategies
8.1
Implementing Best Practices for Data Processing
Real-World Use Cases and Scenarios
3
9.0
Case Studies of Kinesis in Action
9.0
Implementing Real-Time Data Processing Solutions
9.0
Addressing Common Challenges and Solutions
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