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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Real-Time Data Processing Technologies
( 25 Modules )

Module #1
Introduction to Real-Time Data Processing
Overview of real-time data processing, its importance, and applications
Module #2
Fundamentals of Data Streaming
Understanding data streaming, data sources, and data formats
Module #3
Apache Kafka Fundamentals
Introduction to Apache Kafka, its architecture, and core concepts
Module #4
Kafka Producer and Consumer APIs
Hands-on experience with Kafka Producer and Consumer APIs
Module #5
Kafka Streams and KSQL
Introduction to Kafka Streams and KSQL for real-time data processing
Module #6
Apache Storm Fundamentals
Introduction to Apache Storm, its architecture, and core concepts
Module #7
Storm Topologies and Spouts
Hands-on experience with Storm topologies and spouts
Module #8
Storm Bolts and Trident
Hands-on experience with Storm bolts and Trident
Module #9
Apache Flink Fundamentals
Introduction to Apache Flink, its architecture, and core concepts
Module #10
Flink Data Processing API
Hands-on experience with Flink Data Processing API
Module #11
Flink Streaming API
Hands-on experience with Flink Streaming API
Module #12
Apache Spark Structured Streaming
Introduction to Apache Spark Structured Streaming
Module #13
Spark Streaming Programming
Hands-on experience with Spark Streaming programming
Module #14
Real-Time Data Processing with AWS Kinesis
Introduction to AWS Kinesis and its features
Module #15
AWS Kinesis Data Streams and Firehose
Hands-on experience with AWS Kinesis Data Streams and Firehose
Module #16
Google Cloud Pub/Sub and Cloud Dataflow
Introduction to Google Cloud Pub/Sub and Cloud Dataflow
Module #17
Microsoft Azure Event Hubs and Stream Analytics
Introduction to Microsoft Azure Event Hubs and Stream Analytics
Module #18
Real-Time Data Processing with MQTT and IoT
Introduction to MQTT and its applications in IoT
Module #19
Real-Time Data Processing with HTTP and WebSockets
Introduction to HTTP and WebSockets for real-time data processing
Module #20
Real-Time Data Processing with GraphQL and WebSocket
Introduction to GraphQL and WebSocket for real-time data processing
Module #21
Security and Authentication in Real-Time Data Processing
Best practices for security and authentication in real-time data processing
Module #22
Monitoring and Debugging Real-Time Data Processing Systems
Best practices for monitoring and debugging real-time data processing systems
Module #23
Scalability and Performance Tuning in Real-Time Data Processing
Best practices for scalability and performance tuning in real-time data processing
Module #24
Real-World Use Cases of Real-Time Data Processing
Real-world use cases of real-time data processing in various industries
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Real-Time Data Processing Technologies career


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