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About Hortonworks
Hortonworks develops, distributes and supports the
only 100 percent open source distribution of
Apache Hadoop explicitly architected, built and
tested for enterprise-grade deployments.
US: 1.855.846.7866
International: +1.408.916.4121
www.hortonworks.com
5470 Great America Parkway
Santa Clara, CA 95054 USA	
HDF Operations: Hortonworks Data Flow
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.
Duration	
3	days	
Format
50%	Lecture/Discussion	
50%	Hands-on	Labs	
Target Audience	
Data	Engineers,	Integration	Engineers	and	Architects	who	are	
looking	to	automate	Data	flow	between	systems.
Course Objectives
• Describe HDF, Apache NiFi and its use cases.
• Describe NiFi Architecture
• Understand Nifi Features and Characteristics.
• Understand System requirements to run Nifi.
• Understand Installing and Configuring NiFi
• Understand NiFi user interface in depth.
• Understand how to build a DataFlow using NiFi
• Understand Processor and its Elements
• Understand Connection and its Elements
• Understand Processor Group and its elements
• Understand Remote Processor Group and its Elements
• Learn how to optimize a DataFlow
• Learn how to use NiFi Expression language and its use.
• Learn about Attributes and Templates in NiFi
• Understand Concepts of NiFi Cluster
• Explain Data Provenance in NiFi
• Learn how to Secure NiFi
• Learn How to effectively Monitor NiFi
• Learn about HDF Best Practices
Hands-On Labs
• Installing NiFi
• Building a WorkFLow
• Working with Processor Groups
• Working with Remote Processor Groups
• Using NiFi Expression Language.
• Using Templates.
• Working with a NiFi Cluster
• Monitoring NiFi
• HDF Integration with HDP
• Securing HDF with 2-Way SSL
• NiFi User Authentication with LDAP
• End Of the Course Project.
Demos
• The NiFi User Interface
• Anatomy of a Processor
• Anatomy of a Connection
• Working with Attributes
• Data Provenance
• NiFi Notification Services
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 experience required, but is very helpful.
Certification
Hortonworks offers a comprehensive certification program that
identifies you as an expert in Apache Hadoop. Visit
hortonworks.com/training/certification for more information.
Hortonworks University
Hortonworks University is your expert source for Apache Hadoop
training and certification. Public and private on-site courses are
available for developers, administrators, data analysts and other
IT professionals involved in implementing big data solutions.
Classes combine presentation material with industry-leading
hands-on labs that fully prepare students for real-world Hadoop
scenarios.

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Hdf operations-hortonworks-data-flow-1

  • 1. About Hortonworks Hortonworks develops, distributes and supports the only 100 percent open source distribution of Apache Hadoop explicitly architected, built and tested for enterprise-grade deployments. US: 1.855.846.7866 International: +1.408.916.4121 www.hortonworks.com 5470 Great America Parkway Santa Clara, CA 95054 USA HDF Operations: Hortonworks Data Flow 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. Duration 3 days Format 50% Lecture/Discussion 50% Hands-on Labs Target Audience Data Engineers, Integration Engineers and Architects who are looking to automate Data flow between systems. Course Objectives • Describe HDF, Apache NiFi and its use cases. • Describe NiFi Architecture • Understand Nifi Features and Characteristics. • Understand System requirements to run Nifi. • Understand Installing and Configuring NiFi • Understand NiFi user interface in depth. • Understand how to build a DataFlow using NiFi • Understand Processor and its Elements • Understand Connection and its Elements • Understand Processor Group and its elements • Understand Remote Processor Group and its Elements • Learn how to optimize a DataFlow • Learn how to use NiFi Expression language and its use. • Learn about Attributes and Templates in NiFi • Understand Concepts of NiFi Cluster • Explain Data Provenance in NiFi • Learn how to Secure NiFi • Learn How to effectively Monitor NiFi • Learn about HDF Best Practices Hands-On Labs • Installing NiFi • Building a WorkFLow • Working with Processor Groups • Working with Remote Processor Groups • Using NiFi Expression Language. • Using Templates. • Working with a NiFi Cluster • Monitoring NiFi • HDF Integration with HDP • Securing HDF with 2-Way SSL • NiFi User Authentication with LDAP • End Of the Course Project. Demos • The NiFi User Interface • Anatomy of a Processor • Anatomy of a Connection • Working with Attributes • Data Provenance • NiFi Notification Services 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 experience required, but is very helpful. Certification Hortonworks offers a comprehensive certification program that identifies you as an expert in Apache Hadoop. Visit hortonworks.com/training/certification for more information. Hortonworks University Hortonworks University is your expert source for Apache Hadoop training and certification. Public and private on-site courses are available for developers, administrators, data analysts and other IT professionals involved in implementing big data solutions. Classes combine presentation material with industry-leading hands-on labs that fully prepare students for real-world Hadoop scenarios.