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Cloudera DataFlow: Flow Management with Apache NiFi

Cloudera DataFlow: Flow Management with Apache NiFi is a comprehensive training course designed to help data engineers and professionals master the art of data flow management using Apache NiFi within the Cloudera DataFlow (CDF) platform. In this course, participants will learn how to automate the movement, transformation, and management of data across various systems in real-time. This hands-on course covers NiFi’s core concepts, key components, and integration capabilities with big data ecosystems, empowering you to design scalable, reliable, and efficient data pipelines. Gain the skills needed to integrate diverse data sources, manage large-scale data flows, and implement robust solutions with Apache NiFi on Cloudera DataFlow.

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Schedule Learners Course Fee (Incl. of all Taxes) Register Your Interest
December 21st - 28th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 24 Hours)
10% Off
$1,200
$1,080
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December 22nd - 24th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 24 Hours)
Guaranteed-to-Run
10% Off
$1,200
$1,080
January 03rd - 10th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 24 Hours)
20% Off
$1,200
$960
January 05th - 07th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 24 Hours)
20% Off
$1,200
$960
January 11th - 18th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 24 Hours)
20% Off
$1,200
$960
January 12th - 14th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 24 Hours)
20% Off
$1,200
$960
January 19th - 26th
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 24 Hours)
20% Off
$1,200
$960
January 26th - 28th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 24 Hours)
Guaranteed-to-Run
20% Off
$1,200
$960

Course Prerequisites

  • Basic understanding of Apache NiFi or experience with data integration tools
  • Familiarity with Cloudera Data Platform (CDP) and big data ecosystems
  • Experience with basic data processing and transformation concepts
  • Understanding of cloud and distributed computing environments is beneficial
  • Basic knowledge of Linux/Unix systems is recommended

Learning Objectives

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

  • Design and manage data flows using Apache NiFi on Cloudera DataFlow (CDF)
  • Integrate various data sources and systems using NiFi processors
  • Implement real-time data flow management and event-driven architectures
  • Ensure data traceability with NiFi’s provenance tracking
  • Secure and monitor NiFi-based data flows for operational efficiency
  • Troubleshoot and optimize NiFi workflows for performance and scalability
  • Apply advanced NiFi features for complex data transformation and routing

Target Audience

This course is ideal for professionals who wish to enhance their expertise in data flow management and integration. The target audience includes:

  • Data Engineers
  • Cloud Engineers
  • Big Data Professionals
  • System Administrators
  • Data Architects
  • IT professionals working with real-time data pipelines
  • Data Integration Specialists

Course Modules

  • Introduction to Cloudera DataFlow and Apache NiFi

    • Overview of Cloudera DataFlow (CDF) and its components
    • Introduction to Apache NiFi: purpose, architecture, and use cases
    • Key concepts: processors, flowfiles, flow controllers, and provenance data
  • NiFi Architecture and Core Components

    • Deep dive into NiFi architecture: flow controllers, processors, and repositories
    • Understanding NiFi’s data flow model: connecting processors, input/output ports, and remote process groups
    • Introduction to NiFi’s user interface for flow design, monitoring, and management
  • Creating and Managing Data Flows with NiFi

    • Designing and configuring NiFi data flows for efficient data movement
    • Connecting and configuring processors for data ingestion and transformation
    • Managing flow control, back pressure, and load balancing in complex data flows
  • NiFi Data Integration with Big Data Systems

    • Integrating NiFi with Apache Kafka, Hadoop, and Apache HBase
    • Using NiFi processors to move and transform data between big data systems
    • Connecting with cloud storage and other data sources using NiFi Connectors
  • Real-Time Data Flow Management

    • Implementing real-time data flows with NiFi for streaming data
    • Utilizing NiFi’s real-time processing capabilities for event-driven architectures
    • Handling data ingestion, processing, and transformation in near real-time
  • Data Provenance and Monitoring

    • Tracking data flow history with NiFi provenance to ensure data traceability
    • Using NiFi’s monitoring and reporting tools to track performance and troubleshoot issues
    • Setting up alerts and notifications for operational monitoring of data flows
  • Advanced NiFi Features and Data Transformation

    • Using advanced processors for data transformation and enrichment
    • Leveraging NiFi templates for reusability and workflow efficiency
    • Implementing conditional processing and routing of data flows
  • Security and Access Control in NiFi

    • Securing NiFi with SSL/TLS encryption, user authentication, and access control
    • Implementing role-based access control (RBAC) and auditing for data security
    • Best practices for securing data flow management in Cloudera DataFlow
  • Best Practices for NiFi Flow Management

    • Optimizing data flows for performance and scalability
    • Troubleshooting common NiFi data flow issues and performance bottlenecks
    • Scaling NiFi clusters for high throughput and fault tolerance

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