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

Last Updated : 14 Sep 2023

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

The "Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP" course is designed to equip learners with the practical skills and theoretical knowledge needed to implement real-time streaming analytics using Apache Flink within the Cloudera Data Platform (CDP). The course begins with an introduction to Apache Flink and stream processing, outlining typical use cases and related products. It then guides students through service deployment, including planning, installation, and utilizing the Flink Dashboard.

As learners progress, they delve into the foundations of Flink, understanding its architecture, and mastering data stream processing with the DataStream API. The course emphasizes the development of stateful stream processing applications, the role of event time processing, and the use of watermarks and windows. Additionally, it introduces the Cloudera SQL Stream Builder, making it easy to build streaming SQL applications.

In later modules, students learn about the Flink SQL and Table API, integrations, and the importance of monitoring metrics and managing resource configurations. Through practical exercises, participants gain hands-on experience building, deploying, and monitoring streaming applications. This course prepares learners to harness the power of streaming data, a crucial skill for data engineers and analysts in today's fast-paced data-driven world.

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Schedule personalized sessions based upon your availability.

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Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

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

This course covers Apache Flink and SQL Stream Builder for real-time data processing and analytics on the CDP platform.
- Data Engineers

Data Scientists
Software Developers
DevOps Engineers
IT Architects
System Administrators
Data Analytics Managers
Technical Leads
Streaming Application Developers
Big Data Analysts
Cloud Solutions Architects
Database Administrators
IT Professionals seeking to leverage Apache Flink for stream processing

Learning Objectives - What you will Learn in this Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder on CDP?

Introduction to Learning Outcomes:

Gain expertise in Cloudera Streaming Analytics using Apache Flink and SQL Stream Builder, mastering real-time data processing, stream processing applications, and leveraging Kafka integrations within Cloudera Data Platform (CDP).

Learning Objectives and Outcomes:

Understand the fundamentals of Apache Flink and its role in stream processing.
Identify typical use cases for stream processing and how Flink addresses them.
Learn to deploy Flink services, including installation and utilizing the Flink Dashboard.
Develop the skills to create, build, and run Flink applications effectively.
Comprehend the architecture of Flink, including logical and physical layouts, parallelism, fault tolerance, and data storage.
Utilize the DataStream API for creating real-time streaming applications and batch processing.
Integrate Kafka as a source and sink in Flink applications.
Explore Flink SQL and Table API for stream processing with options for integration.
Implement stateful stream processing, managing checkpoints, event time processing, and windowing functions.
Leverage Cloudera SQL Stream Builder for building and executing streaming SQL jobs and monitor applications for performance tuning and optimization.