LearnKartS
Apache Kafka Specialization
LearnKartS

Apache Kafka Specialization

Master Apache Kafka for your Big Data Solutions. Through this course, gain expertise in the essential concepts of Apache Kafka, including the architecture of Kafka, deploying and managing clusters, configuring producers and consumers, stream processing, ensuring data reliability, security, monitoring, troubleshooting, and implementing best practices for scalability and performance.

LearnKartS

Instructor: LearnKartS

1,798 already enrolled

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Get in-depth knowledge of a subject
4.3

(24 reviews)

Beginner level

Recommended experience

2 months
at 3 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.3

(24 reviews)

Beginner level

Recommended experience

2 months
at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn Big data concepts and Apache Kafka to build scalable data pipelines.

  • Utilize Kafka's fault-tolerant architecture by exploring the schema registry, Kafka Streams, and connectors.

  • Understand the importance of Kafka monitoring, including setting up dashboards, understanding metrics, and ensuring security.

  • Learn integration of Kafka with Apache Storm, Spark, and Flume for comprehensive data solutions.

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Taught in English

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  • Develop a deep understanding of key concepts
  • Earn a career certificate from LearnKartS
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Specialization - 4 course series

Kafka Fundamentals

Course 14 hours4.0 (23 ratings)

What you'll learn

  • Understand data evolution, the significance of big data, analytics applications, and messaging systems.

  • Learn Kafka's key features, components, architecture, and industry use cases.

  • How to Set up Kafka environments and install Zookeeper and Kafka

  • Learn Kafka producer and consumer basics, configurations, and operations. Work with serializers and deserializers, and manage offsets.

Skills you'll gain

Category: Performance Tuning
Category: Data Pipelines
Category: Real Time Data
Category: System Configuration
Category: Data Processing
Category: Serializer
Category: Software Installation
Category: Scalability
Category: Distributed Computing
Category: Apache Zookeeper
Category: Apache Kafka
Category: Serialization
Category: Deserialization
Category: Big Data

What you'll learn

  • How to analyze Kafka internals and operations.

  • Learn techniques for performance tuning in Kafka.

  • Explore the configuration of reliable producer and consumer settings.

  • Understanding Kafka cluster architecture and administration, including MirrorMaker and dynamic configuration changes.

Skills you'll gain

Category: Data Pipelines
Category: Performance Tuning
Category: Real Time Data
Category: Data Architecture
Category: Data Migration
Category: Systems Architecture
Category: Distributed Computing
Category: Infrastructure Architecture
Category: Configuration Management
Category: Apache Kafka
Category: Memory Management
Category: Network Monitoring
Category: Server Monitoring
Category: Infrastructure Monitoring
Category: Client Monitoring

What you'll learn

  • Monitor metrics for Kafka brokers, producers, and consumers.

  • Manage quotas and monitor consumer lag effectively.

  • Gain insight into Kafka Streams including tasks, threading models, and local state stores.

  • Perform operations involving K-Streams and K-Tables, leveraging their functionalities.

Skills you'll gain

Category: Performance Tuning
Category: Data Pipelines
Category: Real Time Data
Category: Kafta Monitoring
Category: Scalability
Category: Distributed Computing
Category: Apache Kafka
Category: Software Architecture
Category: Kafta broker metrics
Category: HTTP rest interface
Category: Event Monitoring
Category: Restful API
Category: Kafka Schema Registry
Category: System Monitoring
Category: K-table
Category: Data Integration

What you'll learn

  • Understanding Apache Storm's architecture and topology analysis.

  • Integrating Kafka Spouts into Apache Storm topologies.

  • Exploring Apache Spark's components, functions, and practical applications.

  • Developing Spark applications with Kafka integration, including RDD and session operations, and configuring Flume connectors for Kafka to HDFS.

Skills you'll gain

Category: Apache Hadoop
Category: Performance Tuning
Category: Real Time Data
Category: Data Security
Category: Data Processing
Category: System Configuration
Category: Apache Storm
Category: Distributed Computing
Category: Apache Kafka
Category: Kafka security
Category: Spark Streaming
Category: Scala Programming
Category: Security Controls
Category: Apache Flume
Category: Apache Spark

Instructor

LearnKartS
LearnKartS
69 Courses62,529 learners

Offered by

LearnKartS

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