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Kafka Integration with Storm, Spark, Flume, and Security

LearnKartS via Coursera

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Overview

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Want to be a leader in the field of real-time data engineering? This comprehensive Kafka Integration with Storm, Spark, Flume, and Security course expands your Kafka knowledge by teaching you how to integrate and protect large-scale, distributed data pipelines. This Kafka course is designed for professionals with a strong understanding of Kafka and Java/Scala. It covers Storm topology design, Kafka Spout implementation, and Spark Streaming with RDDs and sessions. You'll set up Flume agents, connect Kafka to HDFS, and master Kafka Admin Client operations. The course also covers sophisticated Kafka security protocols including SSL, SASL, and ACL setup for strong authentication and encryption. With engaging videos, demos, assessments, and reading materials, you'll learn real-world skills in data input, processing, fault tolerance, and secure stream management. By the end of the course, you will be confident in your ability to build, deploy, and secure enterprise-grade streaming architectures.

Syllabus

Apache Storm and Kafka Integration

This module introduces real-time stream processing using Apache Storm and its architecture including spouts and bolts. It also covers Kafka integration and fault-tolerant message processing in streaming pipelines.

Apache Spark and Kafka Integration

This module explains Apache Spark architecture, RDDs, and core transformations for distributed processing. It also covers Spark streaming concepts and integration with Kafka for large-scale data processing.

Apache Flume

This module focuses on Apache Flume architecture and its role in data ingestion pipelines. It also covers configuring Flume to move data from Kafka to storage systems like HDFS.

Kafka Admin Client

This module introduces Kafka Admin Client APIs for managing Kafka clusters programmatically. It covers topic management, consumer groups, and administrative operations in real-world systems.

Securing Kafka

This module explains Kafka security mechanisms including authentication, authorization, and SSL configuration. It also covers ACL-based access control to secure Kafka clusters and data pipelines.