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

  • Duration: 16 hours
  • Exam Voucher: Yes
  • Language: English
  • Course Delivery : E - Learning Access
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Course Overview

The Cloudera Streaming Analytics: Using Apache Flink and SQL Stream Builder onCDP course is designed to equip data engineers, streaming developers, and analytics professionals with the skills to build, manage, and optimize real-time data processing pipelines on the Cloudera Data Platform (CDP). This course focuses on using Apache Flink and SQL Stream Builder (SSB) to ingest, process, analyze, and visualize streaming data at scale. Participants will gain hands-on experience in real-time analytics, stateful event processing, windowed computations, rule-based streaming applications, and performance tuning in production environments.

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Course Details

  • Comprehensive understanding of streaming analytics concepts and real-time processing
  • Ability to design scalable event-driven and stateful pipelines using Flink and SSB
  • Hands-on experience building low-latency streaming applications
  • Expertise in integrating streaming workflows with CDP ecosystem components
  • Knowledge of performance optimization and fault-tolerant processing
  • Readiness for streaming analytics and real-time data engineering roles
  • Open to data engineers, analytics developers, streaming architects, and real-time system professionals
  • Ideal for teams and individuals working with big data streaming workloads
  • Familiarity with distributed systems, SQL, and event-driven architecture is recommended
  • Prior exposure to real-time processing frameworks or big data ecosystems is beneficial
  • Corporate sponsorship or group participation is encouraged
  • Master real-time data ingestion, transformation, and analysis techniques
  • Learn to build streaming pipelines using Apache Flink and SQL Stream Builder
  • Gain expertise in windowed computations, stateful processing, and event handling
  • Understand integration with data stores, messaging systems, and analytic tools
  • Develop skills to optimize performance, resilience, and fault tolerance
  • Achieve readiness for real-world real-time analytics workloads
  • Introduction to Streaming Analytics and CDP
  • Apache Flink Architecture & Stream Processing Fundamentals
  • SQL Stream Builder (SSB) Concepts & Streaming SQL
  • Designing Stateful Streaming Pipelines
  • Event Time, Watermarks & Windowed Computations
  • Fault Tolerance & Checkpointing Mechanisms
  • Integration with Kafka and Messaging Systems
  • Monitoring, Metrics & Performance Tuning
  • Real-World Streaming Use Cases & Best Practices
  • Hands-On Labs and Practical Streaming Scenarios
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James Abot
★★★★★

Much obliged to you for this course. I get know understanding and information in utilizing various types of online apparatuses which are helpful and viable. I'll utilize some of them during my exercises. Also, heaps of much obliged.

Sayali Patil
★★★★★

This was a very immersive and interesting course from NovelVista a lot of self-learning to be done on your own to really understand and put together into practice the technology into your own course and workflow.

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It was truly an amazing learning session. I did have my apprehensions before signing up, but trainer made me feel so comfortable from the time we started the session till the very end of it.Thanks for this amazing experience.

Frequently Asked Questions

What is included in the Cloudera Streaming Analytics Course?+

The program includes structured learning modules, expert-led instruction, hands-on labs, real-world streaming scenarios, and certification readiness guidance.

Is the streaming analytics certification globally recognized?+

Yes, Cloudera certifications are globally recognized and valued in the big data and real-time analytics domains.

Who should enroll in this course?+

This course is ideal for data engineers, streaming developers, analytics architects, and professionals working with real-time data challenges.

How is the training delivered?+

Training is delivered via live virtual sessions, structured digital modules, hands-on practical labs, and ongoing learner support.

Can the course be customized for organizational needs?+

Yes, the course can be tailored to align with your organization’s streaming data priorities, messaging systems, and analytics workflows.

Are trainers experienced professionals?+

Yes — all trainers are certified streaming and big data experts with practical experience in Flink, SQL Stream Builder, and real-time processing.