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

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.

Schedule & Fee
Learning Objectives
Prerequisites
Target Audience
Course Modules
FAQs

Schedule	Learners	Course Fee (Incl. of all Taxes)	Register Your Interest
September 22^nd - 23^rd 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 16 Hours) Guaranteed-to-Run		40% Off ₹69,472 ₹41,683 Fast Filling! Hurry Up.
October 06^th - 07^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 16 Hours)		50% Off ₹69,472 ₹34,736
October 13^th - 14^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 16 Hours)		50% Off ₹69,472 ₹34,736
October 20^th - 23^rd 06:00 PM - 10:00 PM (IST) Live Virtual Classroom (Duration : 16 Hours)		50% Off ₹69,472 ₹34,736
October 27^th - 28^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 16 Hours) Guaranteed-to-Run		50% Off ₹69,472 ₹34,736
November 03^rd - 04^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 16 Hours)		60% Off ₹69,472 ₹27,789
November 10^th - 11^th 09:00 AM - 05:00 PM (IST) Live Virtual Classroom (Duration : 16 Hours)		60% Off ₹69,472 ₹27,789

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

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