Course Overview
One of the most critical functions of a data-driven enterprise is the ability to manage ingest and data flow across complex ecosystems. Does your team have the tools and skill sets to succeed?
This four-day course provides the fundamental concepts and experience necessary to automate the ingress, flow, transformation, and egress of data using NiFi. The course also covers tuning, troubleshooting, and monitoring the Data Flow process as well as how to integrate a data flow within the Cloudera hybrid ecosystem and external systems.
Who should attend
This course is designed for developers, data engineers, administrators, and others with an interest in learning NiFi's innovative no-code, graphical approach to data ingest. Although programming experience is not required, basic experience with Linux is presumed, and previous exposure to big data concepts and applications is helpful.
Course Objectives
During this course, you learn how to:
- Define, configure, organize, and manage data flows
- Transform and trace data as it flows to its destination
- Track changes to data flows with NiFi Registry
- Use the NiFi Expression Language to control data flows
- Optimize data flows for better performance and maintainability
- Connect data flows with other systems, such as Apache Kafka, Apache Hive, and HDFS
- Utilize the Cloudera Data Flow Service
Course Content
- Introduction to Cloudera Flow Management
- Processors
- Connections
- Data Flows
- Process Groups
- FlowFile Provenance
- Parameters
- Flow Definitions and Templates
- Apache NiFi Registry
- FlowFile Attributes
- NiFi Expression Language
- Controller Services
- Record-based Components
- Reading and Writing Record Data
- Enriching Record Data
- NiFi Architecture Overview
- Data Flow Functions
- Data Flow Optimization
- Monitoring, Reporting, and Troubleshooting
- NiFi Security
- Integrating NiFi
Englisch