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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.

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

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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.

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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.

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