Integrating Aternity Data into Kafka and Consuming Changes
Introduction
Kafka is a distributed streaming platform that is commonly used for building real-time data pipelines and streaming applications. In this detailed blog, we’ll explore how to integrate Kafka with C# web applications, covering the creation of Kafka topics, consumers, and retrieving messages from topics. We’ll provide a step-by-step guide with C# code snippets to help you get started.
What is Kafka?
Apache Kafka is an open-source distributed event streaming platform used for building real-time streaming data pipelines and applications. It is designed to handle high-throughput, fault-tolerant, and scalable streaming of data. Kafka is built around the concepts of topics, partitions, producers, and consumers.
What is Change Data Capture (CDC)?
Change Data Capture (CDC) is a feature of database management systems that captures and records changes made to data in a relational database. It provides a mechanism for tracking modifications such as inserts, updates, and deletes performed on tables within the database.
How CDC Works?
CDC operates by monitoring the database's transaction log, also known as the redo log or WAL (Write-Ahead Log), which records all changes made to the database at the transaction level. By analyzing the transaction log, CDC identifies and captures the details of data modifications, including the affected rows, the type of operation (insert, update, delete), and the timestamp of the change.
Understanding Change Data Capture (CDC) in Database Systems
What is Aternity?
Aternity is a digital experience management platform that provides insights into user interactions with applications and services. Capturing Change Data Capture (CDC) changes in Aternity allow organizations to monitor and analyze data modifications in real-time, enabling proactive decision-making and performance optimization. In this section, we'll explore how to integrate CDC changes into Aternity for enhanced visibility and analysis.
Capturing CDC Changes in Aternity
To get Aternity data into a Kafka topic and consume those changes as messages in a .NET application, you'll need to follow these steps:
Step 1. Configure Kafka Producer: Configure a Kafka producer to send Aternity data to a Kafka topic. Below is an example of how to produce messages to a Kafka topic using the Confluent Kafka library in C#:
Introduction
Kafka is a distributed streaming platform that is commonly used for building real-time data pipelines and streaming applications. In this detailed blog, we’ll explore how to integrate Kafka with C# web applications, covering the creation of Kafka topics, consumers, and retrieving messages from topics. We’ll provide a step-by-step guide with C# code snippets to help you get started.
What is Kafka?
Apache Kafka is an open-source distributed event streaming platform used for building real-time streaming data pipelines and applications. It is designed to handle high-throughput, fault-tolerant, and scalable streaming of data. Kafka is built around the concepts of topics, partitions, producers, and consumers.
What is Change Data Capture (CDC)?
Change Data Capture (CDC) is a feature of database management systems that captures and records changes made to data in a relational database. It provides a mechanism for tracking modifications such as inserts, updates, and deletes performed on tables within the database.
How CDC Works?
CDC operates by monitoring the database's transaction log, also known as the redo log or WAL (Write-Ahead Log), which records all changes made to the database at the transaction level. By analyzing the transaction log, CDC identifies and captures the details of data modifications, including the affected rows, the type of operation (insert, update, delete), and the timestamp of the change.
Understanding Change Data Capture (CDC) in Database Systems
What is Aternity?
Aternity is a digital experience management platform that provides insights into user interactions with applications and services. Capturing Change Data Capture (CDC) changes in Aternity allow organizations to monitor and analyze data modifications in real-time, enabling proactive decision-making and performance optimization. In this section, we'll explore how to integrate CDC changes into Aternity for enhanced visibility and analysis.
Capturing CDC Changes in Aternity
To get Aternity data into a Kafka topic and consume those changes as messages in a .NET application, you'll need to follow these steps:
Step 1. Configure Kafka Producer: Configure a Kafka producer to send Aternity data to a Kafka topic. Below is an example of how to produce messages to a Kafka topic using the Confluent Kafka library in C#: