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Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP

Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP provides comprehensive training on harnessing the power of real-time data streams using Apache Flink and SQL Stream Builder within the Cloudera Data Platform (CDP). This course is designed to help data engineers and analysts master the skills needed to process and analyze high-throughput, low-latency data streams, and derive actionable insights from them in real-time. You will learn to use SQL Stream Builder for building streaming data pipelines, optimizing their performance, and leveraging Apache Flink’s advanced stream processing capabilities for complex event processing, aggregations, and windowing operations.

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Schedule Learners Course Fee Register Your Interest
April 28th - 29th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 800
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April 21st - 22nd
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 800
May 12th - 17th
09:00 - 13:00 (CST)
Live Virtual Classroom
USD 800
June 02nd - 03rd
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 800

Course Prerequisites

  • Familiarity with SQL and relational databases
  • Basic understanding of Apache Hadoop and distributed computing concepts
  • Knowledge of Cloudera Data Platform (CDP) or similar big data platforms
  • Basic experience with stream processing concepts is beneficial

Prior experience with Apache Flink or streaming data is helpful but not mandatory.

Learning Objectives

By the end of this course, participants will be able to:

  • Set up and configure Cloudera Streaming Analytics using Apache Flink and SQL Stream Builder
  • Design and implement real-time data pipelines with SQL Stream Builder
  • Optimize and tune streaming data processing workloads for performance and scalability
  • Apply advanced Flink features such as windowing, event time processing, and stateful computations
  • Monitor, troubleshoot, and maintain streaming data pipelines
  • Integrate real-time streaming analytics into business applications for actionable insights

Target Audience

This course is intended for professionals looking to work with real-time data processing and streaming analytics. The target audience includes:

  • Data Engineers
  • Data Analysts
  • Cloud Architects
  • Big Data Professionals
  • Streaming Analytics Engineers
  • Business Intelligence Developers
  • Software Engineers

Course Modules

  • Introduction to Streaming Analytics in Cloudera

    • Overview of real-time data processing and stream analytics
    • Key features of Cloudera Data Platform (CDP) for streaming analytics
    • Benefits of using Apache Flink for real-time stream processing

  • Understanding Apache Flink Architecture

    • Key components and architecture of Apache Flink
    • Setting up Flink clusters and managing resources
    • Understanding Flink's event-driven processing model

  • SQL Stream Builder Overview

    • Introduction to SQL Stream Builder in CDP
    • Basic concepts and capabilities of SQL Stream Builder
    • Building your first streaming SQL pipeline

  • Creating Real-Time Stream Processing Pipelines

    • Designing and building real-time data pipelines using SQL Stream Builder
    • Working with structured and unstructured streaming data
    • Managing input and output streams in real-time analytics workflows

  • Advanced Stream Processing with Apache Flink

    • Advanced Flink concepts: time windows, event time processing, and stateful processing
    • Handling complex data transformations and aggregations
    • Managing fault tolerance and stream recovery in Flink

  • Optimizing Streaming Workloads

    • Performance tuning for streaming data pipelines
    • Scaling Apache Flink and SQL Stream Builder for large datasets
    • Minimizing latency and maximizing throughput

  • Streaming Analytics for Real-Time Insights

    • Real-time analytics use cases with Cloudera Streaming Analytics
    • Integrating real-time analytics into business intelligence workflows
    • Visualizing and interpreting real-time data insights

  • Monitoring, Troubleshooting, and Maintenance

    • Monitoring streaming data pipelines using Cloudera and Flink tools
    • Debugging and troubleshooting common streaming issues
    • Managing and maintaining streaming data pipelines in production

What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024