ADM-BL-301 | HDF: NiFi Flow Management (Blended)

ADM-BL-301 | HDF: NiFi Flow Management (Blended)

This course is designed for ‘Data Stewards’ or ‘Data Flow Managers’ who are looking forward to automate the flow of data between systems using HDF 3.0

About this course

Subject-Matter Expert Self-Paced Live Micro-Lessons

Overview:
This course is designed for ‘Data Stewards’ or ‘Data Flow Managers’ who are looking forward to automate the flow of data between systems. Topics Include Introduction to NiFi, Installing and Configuring NiFi, Detail explanation of NiFi User Interface, Explanation of its components and Elements associated with each. How to Build a dataflow, NiFi Expression Language, Understanding NiFi Clustering, Data Provenance, Security around NiFi, Monitoring Tools and HDF Best practices. Regularly scheduled live micro-learning sessions will also be delivered by Hortonworks University Instructors to discuss various course related topics to further enhance and supplement the self-paced content.

Target Audience:
Data Engineers, Integration Engineers and Architects who are looking to automate Data flow between systems.

Prerequisites:
Students should be familiar with programming principles and have previous experience in software development. Experience with Linux and a basic understanding of Dataflow tools would be helpful. No prior Hadoop/NiFi experience required, but is very helpful.

Format:
Self-Paced Lesson Slides (This course does not contain audio, narration or video)
Hands-On Lab Exercises (PDF Lab Guides)
Regularly Scheduled Live Micro-learning Sessions (Check the live session schedule for upcoming dates)

Note: This course does not have an accompanying downloadable virtual machine for labs. However, you can perform the lab exercises on the latest HDF Hortonworks DataFlow Sandbox. To download the HDF sandbox, please visit: https://hortonworks.com/downloads/#sandbox and select the latest “Hortonworks DataFlow - Automated (with Ambari)” download.

Credit Hours: 3

(ADM-301-REV3.0-112017)

Curriculum

  • Live Micro-Learning Sessions
  • Blended Learning: HDF NiFi Flow Management | Live Micro-Learning Session #1
  • Blended Learning: HDF NiFi Flow Management | Live Micro-Learning Session #2
  • Blended Learning: HDF NiFi Flow Management | Live Micro-Learning Session #3
  • Lesson 1:
  • A Peek into Enterprise Data Flow
  • Lesson Review
  • Lesson 2:
  • HDF 3.0 - What is New
  • Lesson Review
  • Lesson 3:
  • NiFi Architecture and Features
  • Lesson 4:
  • System Requirements
  • Lesson Review
  • Lesson 5:
  • Installing and Configuring HDF
  • Lesson Review
  • Lab 1 - Installing and Starting HDF with Ambari.pdf
  • Lesson 6:
  • NiFi User Interface
  • Lesson Review
  • Lesson 7:
  • Summary and History
  • Lesson 8:
  • Anatomy of a Processor
  • Lesson 9:
  • Anatomy of a Connection
  • Lesson 10:
  • Controller Services and Reporting Tasks
  • Demo 1 - NiFi User Interface.pdf
  • Lesson 11:
  • Building a NiFi DataFlow
  • Lesson Review
  • Lab 2 - Building A NiFi DataFlow.pdf
  • Lesson 12:
  • Anatomy of a Processor Group
  • Lesson Review
  • Lab 3 - Working With Processor Groups.pdf
  • Lesson 13:
  • Anatomy of a Remote Processor Group
  • Lesson Review
  • Lab 4 - Working With Remote Processor Group (Site-to-Site).pdf
  • Lesson 14:
  • Working with Attributes
  • Lesson Review
  • Demo 2 - Working With Attributes.pdf
  • Lesson 15:
  • NiFi Expression Language
  • Lesson Review
  • Lab 5 - NiFi Expression Language.pdf
  • Lesson 16:
  • Working with Templates
  • Demo 3 - Working with Templates.pdf
  • Lesson 17:
  • HDF DataFlow Optimizatiton
  • Lesson 18:
  • Data Provenance
  • Lesson Review
  • Demo 4 - Data Provenance.pdf
  • Lesson 19:
  • Working with NiFi Clusters
  • Lesson Review
  • Lab 6 - Working With NiFi Cluster.pdf
  • Lesson 20:
  • Monitoring NiFi
  • Demo 5 - NiFi Monitoring.pdf
  • Demo 6 - NiFi Notification Services.pdf
  • Lab 7 - Advanced NiFi Monitoring.pdf
  • Lesson 21:
  • HDF with HDP - A Complete Big Data Solution
  • Lesson Review
  • Lab 8 - HDF Integration with HDP.pdf
  • Lesson 22:
  • HDF Best Practices
  • Lesson Review
  • Lesson 23:
  • Security: HDF Authentication
  • Lesson Review
  • Lab 9 - Securing HDF with 2-way SSL Using Ambari.pdf
  • Lab 10 - NiFi User Authentication with LDAP.pdf
  • Lab 11 - Ranger Install and Configuring NiFi with Kerberos.pdf
  • Lesson 24:
  • Security: HDF Authorization and Mutli-Tenancy
  • Lesson 25:
  • Managed / File Based Authorizer
  • Lab 12 - File Based Authorization In NiFi.pdf
  • Lesson 26:
  • External / Ranger Based Authorizer
  • Lab 13 - Ranger Based Authorization In NiFi.pdf
  • Give Us Your Feedback
  • Course Survey
  • Untitled Lesson

About this course

Subject-Matter Expert Self-Paced Live Micro-Lessons

Overview:
This course is designed for ‘Data Stewards’ or ‘Data Flow Managers’ who are looking forward to automate the flow of data between systems. Topics Include Introduction to NiFi, Installing and Configuring NiFi, Detail explanation of NiFi User Interface, Explanation of its components and Elements associated with each. How to Build a dataflow, NiFi Expression Language, Understanding NiFi Clustering, Data Provenance, Security around NiFi, Monitoring Tools and HDF Best practices. Regularly scheduled live micro-learning sessions will also be delivered by Hortonworks University Instructors to discuss various course related topics to further enhance and supplement the self-paced content.

Target Audience:
Data Engineers, Integration Engineers and Architects who are looking to automate Data flow between systems.

Prerequisites:
Students should be familiar with programming principles and have previous experience in software development. Experience with Linux and a basic understanding of Dataflow tools would be helpful. No prior Hadoop/NiFi experience required, but is very helpful.

Format:
Self-Paced Lesson Slides (This course does not contain audio, narration or video)
Hands-On Lab Exercises (PDF Lab Guides)
Regularly Scheduled Live Micro-learning Sessions (Check the live session schedule for upcoming dates)

Note: This course does not have an accompanying downloadable virtual machine for labs. However, you can perform the lab exercises on the latest HDF Hortonworks DataFlow Sandbox. To download the HDF sandbox, please visit: https://hortonworks.com/downloads/#sandbox and select the latest “Hortonworks DataFlow - Automated (with Ambari)” download.

Credit Hours: 3

(ADM-301-REV3.0-112017)

Curriculum

  • Live Micro-Learning Sessions
  • Blended Learning: HDF NiFi Flow Management | Live Micro-Learning Session #1
  • Blended Learning: HDF NiFi Flow Management | Live Micro-Learning Session #2
  • Blended Learning: HDF NiFi Flow Management | Live Micro-Learning Session #3
  • Lesson 1:
  • A Peek into Enterprise Data Flow
  • Lesson Review
  • Lesson 2:
  • HDF 3.0 - What is New
  • Lesson Review
  • Lesson 3:
  • NiFi Architecture and Features
  • Lesson 4:
  • System Requirements
  • Lesson Review
  • Lesson 5:
  • Installing and Configuring HDF
  • Lesson Review
  • Lab 1 - Installing and Starting HDF with Ambari.pdf
  • Lesson 6:
  • NiFi User Interface
  • Lesson Review
  • Lesson 7:
  • Summary and History
  • Lesson 8:
  • Anatomy of a Processor
  • Lesson 9:
  • Anatomy of a Connection
  • Lesson 10:
  • Controller Services and Reporting Tasks
  • Demo 1 - NiFi User Interface.pdf
  • Lesson 11:
  • Building a NiFi DataFlow
  • Lesson Review
  • Lab 2 - Building A NiFi DataFlow.pdf
  • Lesson 12:
  • Anatomy of a Processor Group
  • Lesson Review
  • Lab 3 - Working With Processor Groups.pdf
  • Lesson 13:
  • Anatomy of a Remote Processor Group
  • Lesson Review
  • Lab 4 - Working With Remote Processor Group (Site-to-Site).pdf
  • Lesson 14:
  • Working with Attributes
  • Lesson Review
  • Demo 2 - Working With Attributes.pdf
  • Lesson 15:
  • NiFi Expression Language
  • Lesson Review
  • Lab 5 - NiFi Expression Language.pdf
  • Lesson 16:
  • Working with Templates
  • Demo 3 - Working with Templates.pdf
  • Lesson 17:
  • HDF DataFlow Optimizatiton
  • Lesson 18:
  • Data Provenance
  • Lesson Review
  • Demo 4 - Data Provenance.pdf
  • Lesson 19:
  • Working with NiFi Clusters
  • Lesson Review
  • Lab 6 - Working With NiFi Cluster.pdf
  • Lesson 20:
  • Monitoring NiFi
  • Demo 5 - NiFi Monitoring.pdf
  • Demo 6 - NiFi Notification Services.pdf
  • Lab 7 - Advanced NiFi Monitoring.pdf
  • Lesson 21:
  • HDF with HDP - A Complete Big Data Solution
  • Lesson Review
  • Lab 8 - HDF Integration with HDP.pdf
  • Lesson 22:
  • HDF Best Practices
  • Lesson Review
  • Lesson 23:
  • Security: HDF Authentication
  • Lesson Review
  • Lab 9 - Securing HDF with 2-way SSL Using Ambari.pdf
  • Lab 10 - NiFi User Authentication with LDAP.pdf
  • Lab 11 - Ranger Install and Configuring NiFi with Kerberos.pdf
  • Lesson 24:
  • Security: HDF Authorization and Mutli-Tenancy
  • Lesson 25:
  • Managed / File Based Authorizer
  • Lab 12 - File Based Authorization In NiFi.pdf
  • Lesson 26:
  • External / Ranger Based Authorizer
  • Lab 13 - Ranger Based Authorization In NiFi.pdf
  • Give Us Your Feedback
  • Course Survey
  • Untitled Lesson