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Enhance your data engineering expertise with practical skills in real-time data handling and event streaming using Confluent Kafka. This course offers direct, hands-on experience in setting up and managing Kafka clusters, connecting to diverse data sources, and building robust data pipelines for modern applications.
Throughout this course, you'll explore the industry-specific applications of and delve into various features and functionalities.
By the end of this course, you will be able to:
- Know the architecture of Kafka and Confluent.
- Explain the importance of Kafka Connect used to connect to other data sources.
- Assess the capabilities of producers for publishing data records and consumers for retrieving data.
- Applying concepts of Kafka to manage data.
- Interpret replication and Kafka streams on Confluent.
- Explore Kafka's full data handling capabilities on Confluent.
This course is suited for freshers, IT professionals, data architects, and project managers looking to advance in streaming data and event-driven architecture. Basic understanding of RDBMS and data management will be useful but is not mandatory.
Gain the confidence and technical skillset to architect, manage, and scale real-time data solutions with Confluent Kafka.