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Course Summary
Home > Courses >Big Data Training >Apache Kafka >Real-Time Ingestion & Processing Using Kafka & Spark
The Real-Time Ingestion & Processing Using Kafka & Spark training course focuses on Data Ingestion and Processing using Kafka and Spark Streaming. The course covers Kafka Fundamentals, Architecture, API, Kafka Connect, Kafka Streams, Spark Micro-batch processing, and Structured Streaming Processing.
The course begins with students gaining an understanding of Kafka fundamentals and internals. The course then covers Zookeeper, integrations, and the API. The course concludes with lessons on Spark Streaming and Kafka Streams.
The course utilizes a mixture of lectures and hands-on exercises to reinforce learning. Hands-on exercises related to Kafka APIs will be in Java/Scala and Scala language will be used for Spark related exercises.
Purpose
Learn the knowledge and skills needed to utilize Data Ingestion and Processing using Kafka and Spark Streaming.
Audience
Developers and developer teams needing to learn Real-Time Ingestion and Processing using Kafka and Spark.
Skill Level
Style
Duration
2 Days
Related Technologies
- Apache Spark - Scala - Java - Apache Kafka
- Productivity Objectives:
- Use Kafka Fundamentals & Architecture, Producer & Consumer API, Kafka Connect, Kafka Streams
- Perform Spark Micro-batch processing
- Perform Structured Streaming processing
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about our training
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Real-World Content
Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
-
Expert Practitioners
Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.
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Experiential Learning
More coding than lecture, coupled with architectural and design discussions.
-
Fully Customized
One-size-fits-all doesn't apply to training teams. That's where we come in!
What You'll Learn
In the Real-Time Ingestion & Processing Using Kafka & Spark training course, you'll learn:
- Introduction to Apache Kafka
- Kafka Overview
- Salient Features of Kafka
- Kafka Use cases
- Comparing Kafka with other Key tools
- Kafka Fundamentals & Internals
- Logical Architecture of Kafka
- Physical Architecture of Kafka
- Partitions
- Topics
- Replicas
- Producers & Consumers
- Brokers
- Roles and Responsibilities of various components
- Replication mechanism
- Message Delivery Semantic
- Key Terminologies
- Key configuration settings of Brokers, Producers, Consumers etc.
- Zookeeper
- Role of Zookeeper
- Zookeeper Basic Operations
- Apache Kafka – Zookeeper Role
- Kafka Integrations
- End to End Data Pipeline using Kafka
- Kafka Connect
- Explain Spark Components
- Integrate Kafka with Spark
- Kafka API
- Overview
- Producer API
- Sync Producers
- Async Producers
- Message Acknowledgement
- Batching Messages
- Keyed and Non-Keyed Messages
- Compression
- Batching
- Consumer API
- Spark Streaming
- Analyzing streaming data using Spark
- Stateless Streaming
- Stateful Streaming
- Structured Streaming
- Kafka Streams
- Overview
- What is Kafka Streams
- Why Kafka Streams
Real-world content
Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
Expert Practitioners
Industry experts that bring their battle scars into the classroom.
Experiential Learning
More coding than lecture, coupled with architectural and design discussions.
Fully Customized
One-size-fits-all doesn't apply to training teams. That's where we come in!
Elite Instructor Program
We recently launched our internal Elite Instructor Program. The community driven instructor program is designed to support instructors in transforming students’ lives by consistently showing a world-class level of engagement, ability, and teaching prowess. Reach out today to learn more about our instructors.
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