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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:

Read more

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.

Enroll now

What's inside

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.
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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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops an understanding of the architecture and topology of Apache Storm, which is an industry standard for streaming data processing and distributed computing
Covers Kafka Admin Client, which is essential for managing and monitoring Kafka clusters
Provides hands-on training on Apache Spark, a leading framework for large-scale, distributed data processing
Covers secure Kafka techniques, including SASL and SSL configuration, which are crucial for protecting data in transit
Requires familiarity with Kafka and Java/Scala programming, which may pose a barrier to entry for absolute beginners
Does not include real-world projects or case studies, which could enhance the practical application of the skills learned

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Kafka Integration with Storm, Spark, Flume, and Security with these activities:
Attend Local Hadoop User Group Meetup
Connect with professionals in the field by attending local Hadoop User Group meetups to exchange knowledge and insights.
Show steps
  • Identify and locate a local Hadoop User Group.
  • Attend an upcoming meetup.
  • Participate in discussions related to Kafka and related technologies.
Kafka Spout Implementation Practice
Enhance your practical skills by implementing Kafka Spouts in Storm topologies to gain hands-on experience.
Show steps
  • Create a new Storm topology.
  • Implement a Kafka Spout as the data source.
  • Develop bolt components to process the data.
Apache Spark Tutorial Series
Expand your knowledge of Apache Spark by following a comprehensive tutorial series, covering its components and functions.
Browse courses on Apache Spark
Show steps
  • Review Apache Spark's architecture.
  • Explore Spark's RDD (Resilient Distributed Dataset) operations.
  • Implement Spark applications to perform data analysis.
Two other activities
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Show all five activities
Kafka Security Hands-on Workshop
Enroll in a hands-on workshop to delve deeper into Kafka security, covering SASL, SSL, and ACLs, for enhanced protection.
Show steps
  • Identify and register for a relevant workshop.
  • Attend the workshop and actively participate in the exercises.
  • Configure Kafka with appropriate security measures.
Contribute to Kafka Open Source Projects
Gain practical experience and contribute to the Kafka community by volunteering your skills to open-source projects.
Show steps
  • Explore open-source Kafka projects on platforms like GitHub.
  • Identify areas where you can contribute based on your skills.
  • Submit code changes or bug reports to the project.

Career center

Learners who complete Kafka Integration with Storm, Spark, Flume, and Security will develop knowledge and skills that may be useful to these careers:

Reading list

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