Szkolenia Cloudera

Cel szkolenia szkolenie zdalne - dlearning

This three-day hands-on training course provides the fundamental concepts and experience necessary to automate the ingest, flow, transformation, and egress of data using Apache NiFi.

Along with gaining a grasp of the key features, concepts, and benefits of NiFi, participants will create and run NiFi dataflows for a variety of scenarios. Students will gain expertise using processors, connections, and process groups, and will use NiFi Expression Language to control the flow of data from various sources to multiple destinations. Participants will monitor dataflows, examine progress of data through a dataflow, and connect dataflows to external systems such as Kafka and HDFS. After taking this course, participants will have key knowledge and expertise for configuring and managing data ingestion, movement, and transformation scenarios for the enterprise.

Students who successfully complete this course will be able to:

  • Understand the role of Apache NiFi and MiNiFi in the Cloudera DataFlow platform
  • Describe NiFi’s architecture, including standalone and clustered configurations
  • Use key features, including FlowFiles, processors, process groups, controllers, and connections, to define a NiFi dataflow
  • Navigate, configure dataflows, and use dataflow information with the NiFi User Interface
  • Trace the life of data, its origin, transformation, and destination, using data provenance
  • Organize and simplify dataflows
  • Manage dataflow versions using the NiFi Registry
  • Use the NiFi Expression Language to control dataflows
  • Implement dataflow optimization methods and available monitoring and reporting features
  • Connect dataflows with other systems, such as Kafka and HDFS
  • Describe aspects of NiFi security

Plan szkolenia Rozwiń listę

  1. Introduction to Cloudera Flow Management
    • Overview of Cloudera Flow Management and NiFi
    • The NiFi User Interface
  2. Processors
    • Overview of Processors
    • Processor Surface Panel
    • Processor Configuration
  3. Connections
    • Overview of Connections
    • Connection Configuration
    • Connector Context Menu
  4. Dataflows
    • Command and Control of a Dataflow
    • Processor Relationships
    • Back Pressure
    • Prioritizers
    • Labels
  5. Process Groups
    • Anatomy of a Process Group
    • Input and Output Ports
  6. FlowFile Provenance
    • Data Provenance Events
    • FlowFile Lineage
    • Replaying a FlowFile
  7. Dataflow Templates
    • Templates Overview
    • Managing Templates
  8. Apache NiFi Registry
    • Apache NiFi Registry Overview
    • Using the Registry
  9. FlowFile Attributes
    • FlowFile Attributes
    • Routing on Attributes
  10. NiFi Expression Language
    • NiFi Expression Language Overview
    • Syntax
    • Expression Language Editor
    • Setting Conditional Values
  11. Dataflow Optimization
    • Dataflow Optimization
    • Control Rate
    • Managing Compute
  12. NiFi Architecture
    • NiFi Architecture Overview
    • Cluster Architecture
    • Heartbeats
    • Managing Clusters
  13. Site-to-Site Dataflows
    • Site-to-Site Theory
    • Site-to-Site Architecture
    • Anatomy of a Remote Process Group
    • Adding and Configuring Remote Process Groups
  14. Cloudera Edge Management and MiNiFi
    • Overview of MiNiFi
    • Example Walk-through
  15. Monitoring and Reporting
    • Monitoring from NiFi
    • Overview of Reporting
    • Examples of Common Reporting Tasks
  16. Controller Services
    • Controller Services Overview
    • Common Controller Services
  17. Integrating NiFi with the Cloudera Ecosystem
    • NiFi Integration Architecture
    • NiFi Ecosystem Processors
    • A Closer Look at NiFi and Apache Hive
    • A Closer Look at NiFi and Apache Kafka
  18. NiFi Security
    • NiFi Security Overview
    • Securing Access to the NiFi UI
    • Authentication
    • The Importance of Kerberos
    • NiFi Registry Security
    • NiFi Security Summary
Pobierz konspekt szkolenia w formacie PDF

Dodatkowe informacje

Wymagania wstępne

This course is designed for Developers, Data Engineers, Data Scientists, and Data Stewards. It provides a no-code, graphical approach to configuring real-time data streaming, ingestion, and management solutions for a variety of use cases. Though programming experience is not required, basic experience with Linux is presumed. Exposure to big data concepts and applications is helpful.

Poziom trudności
Czas trwania 3 dni

The participants will obtain certificates signed by Cloudera (course completion).


Certified Cloudera Instructor.

Pozostałe szkolenia Cloudera | Developer

Szkolenia powiązane tematycznie

Bazy danych

Big Data

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