16 Hrs
3111+ Enrollments
Using Apache Flink and SQL Stream Builder on CDP
This course is designed to help learners build real-time data pipelines using Apache Flink and SQL Stream Builder on Cloudera Data Platform. Participants will learn how to process real-time data streams with Flink, create custom Flink functions, and use SQL Stream Builder to build end-to-end data pipelines. With the help of real-world examples and hands-on exercises, learners will gain practical experience working with Flink and SQL Stream Builder.
Using Apache Flink and SQL Stream Builder on CDP
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.
Course Highlights
Hands-on experience with real-world examples
Learn how to handle real-time data streams using Flink and SQL Stream Builder
Understand how to create custom Flink functions
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Flexible Schedule & Delivery
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Real-world Projects
We work with experts to curate real business scenarios as training projects
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
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
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- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- 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
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Big Data Developers
- Data Engineers
- Data Architects
- IT Professionals
Prerequisite:
- Basic knowledge of Java programming
- Familiarity with Apache Kafka
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
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.
Certification path:
- Cloudera Certified Developer for Apache Flink
Career options after doing the course:
- Big Data Engineer
- Data Engineer
- Flink Developer
- Data Architect
Why should you take this course from Skillzcafe:
Industry experts as instructors- Hands-on experience with real-world examples
- Comprehensive course curriculum
- Lifetime access to course materials
- Affordable pricing
FAQs
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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