Overview of Course

Our Using Apache Flink and SQL Stream Builder on CDP course provides an in-depth understanding of Apache Flink and SQL Stream Builder on Cloudera Data Platform (CDP). This course covers how to build real-time data pipelines using Flink and SQL Stream Builder, enabling learners to handle real-time data with ease.

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Course Highlights

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Hands-on experience with real-world examples

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Learn how to handle real-time data streams using Flink and SQL Stream Builder

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Understand how to create custom Flink functions

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Skills You’ll Learn


Process real-time data streams using Flink


Create custom Flink functions


Use SQL Stream Builder to build end-to-end data pipelines


Handle real-time data with ease

Training Options

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1-on-1 Training

USD 1000 / INR 80000
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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On Request
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  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews


  • Introduction to Apache Flink and Stream Processing
  • Typical Use Cases
  • Related Products

  • Planning Requirements
  • Installation
  • Flink Dashboard
  • Exercise: Running a Flink Program

  • Execution Environment
  • Flink Application Structure
  • Create a Flink Project
  • Build a Flink Program
  • Exercise: Building a Simple Flink Program

  • Logical
  • Physical
  • Parallelism
  • Fault Tolerance
  • Data Storage

  • DataStream API Overview
  • Data Types and Serialization
  • Sources and Sinks
  • Transformatons
  • Exercise: Batch Processing Using Flink
  • Exercise: Creating a Flink Streaming Application
  • Using Kafka as a Source and Sink
  • Exercise: Creating a Streaming Application Using a Kafka Source

  • Streaming Concepts
  • Programming Options
  • Integrations
  • Exercise: Using Flink SQL and Kafka

  • Stateful Streaming Applications
  • Checkpoints
  • Event Time Processing
  • Watermarks
  • Windows
  • Exercise: Tumbling Windows with Event Time

  • Overview
  • Streaming SQL Console
  • Data Providers
  • SQL Stream Jobs
  • Exercise: Using SQL Stream Builder

  • Metrics
  • Logging
  • Backpressure
  • Resource Configuration
  • Exercise: Monitoring
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Target Audience:

  • Big Data Developers
  • Data Engineers
  • Data Architects
  • IT Professionals
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  • Basic knowledge of Java programming
  • Familiarity with Apache Kafka
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Benefits of the course:

  • Hands-on experience with real-world examples
  • Practical skills to handle real-time data streams
  • Comprehensive course curriculum
  • In-depth understanding of Apache Flink and SQL Stream Builder on CDP
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Exam details to pass the course:

  • There is no exam to pass the course. However, participants need to complete all the modules and the final project to receive a certificate of completion.
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Certification path:

  • Cloudera Certified Developer for Apache Flink
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Career options after doing the course:

  • Big Data Engineer
  • Data Engineer
  • Flink Developer
  • Data Architect

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
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  • Bullet Icon Comprehensive course curriculum
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No, prior experience with Apache Flink is not required. However, basic knowledge of Java programming and familiarity with Apache Kafka will be helpful.

This course is instructor-led.

The course duration is 16 hours, including hands-on exercises and projects.

Cloudera Data Platform (CDP) is a modern, cloud-native platform for managing data and analytics workloads in hybrid and multi-cloud environments.

Apache Flink is an open-source stream processing framework that provides an efficient, reliable, and scalable way to handle real-time data streams.

SQL Stream Builder is a serverless platform that provides a simplified and easy-to-use interface for building and deploying real-time stream processing applications.

Participants should have basic knowledge of Java programming and familiarity with Apache Kafka.

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