Kafka Integration with Storm, Spark, Flume, and Security

Overview

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Welcome to the Kafka Integration with Storm, Spark, Flume, and Security course! The course is designed to equip you with advanced skills and knowledge in real-time data processing and data security frameworks. In today's data-driven world, organizations rely heavily on robust frameworks like Apache Storm, Apache Spark, and Apache Flume to handle large-scale data processing efficiently while ensuring data integrity and security. This course requires a solid of Kafka and Java/Scala programming. By the end of the course, you will be able to: - Analyze Apache Storm's architecture and topology. - Implement Kafka Spouts in Storm topologies. - Evaluate Apache Spark's components and functions. - Develop and execute Spark applications integrated with Kafka. - Utilize RDD and session operations in Spark. - Configure Flume connectors for Kafka to HDFS. - Understand and utilize Kafka Admin Client. - Apply Kafka security measures like SASL and SSL. This course contains engaging videos, demos, readings, and assessments to ensure a comprehensive understanding of Apache Kafka.

Syllabus

Kafka Integration

This module delves into Kafka internals, operations, performance tuning, and reliability methods. At the end of this, learners will be able to ensure system reliability through effective configuration and management techniques.

Admin Client and Securing Kafka

This module introduces the Kafka Admin Client and focuses on securing Kafka with SASL, SSL configuration, and ACLs. At the end of this, learners will be able to perform administrative tasks using the Admin Client and implement security measures to protect Kafka clusters.