

Course Information

Course Name
DOPS-242: Ingesting with Cloudera DataFlow

Exam code
DOPS-242

Duration
4 Days
Certification
Overview
Apache NiFi and 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 dataflow process as well as how to integrate a dataflow within the Cloudera CDP Hybrid ecosystem and external systems.
Audience Profile
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.
Prerequisities
Although programming experience is not required, basic experience with Linux is presumed, and previous exposure to big data concepts and applications is helpful.
At Course Completion
During this course, you learn how to:
- Define, configure, organize, and manage dataflows
- Transform and trace data as it flows to its destination
- Track changes to dataflows with NiFi Registry
- Use the NiFi Expression Language to control dataflows
- Optimize dataflows for better performance and maintainability
- Connect dataflows with other systems, such as Apache Kafka, Apache Hive, and HDFS
- Utilize the Data Flow Service
Course Outline
- Overview of Cloudera Data-in-Motion
- The NiFi User Interface
- DataFlow Catalog
- ReadyFlows
- Instructor-Led Demo: NiFi User Interface
- Hands-On Exercise: Build Your First Dataflow
- Overview of Processors
- Processor Surface Panel
- Processor Configuration
- Hands-On Exercise: Start Building a Dataflow Using Processors
- Overview of Connections
- Connection Configuration
- Connector Context Menu
- Hands-On Exercise: Connect Processors in a Dataflow
- Command and Control of a Dataflow
- Processor Relationships
- Back Pressure
- Prioritizers
- Labels
- Hands-On Exercise: Build a More Complex Dataflow
- Hands-On Exercise: Creating a Fork Using Relationships
- Hands-On Exercise: Set Back Pressure Thresholds
- Anatomy of Process Group
- Input and Output Ports
- Hands-On Exercise: Simplify Dataflows Using Process Groups
- Data Provenance Events
- FlowFile Lineage
- Replaying a FlowFile
- Hands-On Exercise: Using Data Provenance
- Querying Record Data
- QueryRecord Processor
- Writing Record Data
- ETL Operations
- Split and Join Processor
- Update Record Processors
- Wait and Notify Processors
- NiFi Architecture Overview
- Public Cloud Architecture
- Private Cloud Architecture
- Overview
- Serverless functions
- Demo: Deploying a Flow Definition as a Function
- Parameter Contexts
- Referencing Parameters
- Managing Parameters
- Migrating from Variables
- Hands-On Exercise: Creating, Using, and Managing Parameters
- Flow Definition Overview
- Creating a Flow Definition
- Importing and Deploying a Flow
- Using (migrating from) Templates
- Hands-On Exercise: Creating, Using, and Managing Flow Definitions
- Apache NiFi Registry Overview
- Using the Registry
- Hands-On Exercise: Versioning Flows Using NiFi Registry
- FlowFile Attribute Overview
- Routing on Attributes
- Hands-On Exercise: Working with FlowFile Attributes
- NiFi Expression Language Overview
- Syntax
- Expression Language Editor
- Setting Conditional Values
- Hands-On Exercise: Using the NiFi Expression Language
- Controller Services Overview
- Common Controller Services
- Hands-On Exercise: Adding Apache Hive Controller
- Record-oriented data
- Record-based Processors
- Avro Schema Registry
- Schema Forma
- Dataflow Optimization
- Control Rate
- Managing Compute
- Hands-On Exercise: Building an Optimized Dataflow
- Monitoring from NiFi
- Reporting
- Examples of Common Reporting Tasks
- Hands-On Exercise: Monitoring and Reporting
- NiFi Security Overview
- Securing Access to the NiFi UI
- Metadata Management
- NiFi Integration Architecture
- Available ReadyFlows
- A Closer Look at NiFi and Apache Hive
Overview
Overview
Apache NiFi and 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 dataflow process as well as how to integrate a dataflow within the Cloudera CDP Hybrid ecosystem and external systems.
Audience Profile
Audience Profile
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.
Prerequisities
Prerequisities
Although programming experience is not required, basic experience with Linux is presumed, and previous exposure to big data concepts and applications is helpful.
At Course Completion
At Course Completion
During this course, you learn how to:
- Define, configure, organize, and manage dataflows
- Transform and trace data as it flows to its destination
- Track changes to dataflows with NiFi Registry
- Use the NiFi Expression Language to control dataflows
- Optimize dataflows for better performance and maintainability
- Connect dataflows with other systems, such as Apache Kafka, Apache Hive, and HDFS
- Utilize the Data Flow Service
Course Outline
Course Outline
- Overview of Cloudera Data-in-Motion
- The NiFi User Interface
- DataFlow Catalog
- ReadyFlows
- Instructor-Led Demo: NiFi User Interface
- Hands-On Exercise: Build Your First Dataflow
- Overview of Processors
- Processor Surface Panel
- Processor Configuration
- Hands-On Exercise: Start Building a Dataflow Using Processors
- Overview of Connections
- Connection Configuration
- Connector Context Menu
- Hands-On Exercise: Connect Processors in a Dataflow
- Command and Control of a Dataflow
- Processor Relationships
- Back Pressure
- Prioritizers
- Labels
- Hands-On Exercise: Build a More Complex Dataflow
- Hands-On Exercise: Creating a Fork Using Relationships
- Hands-On Exercise: Set Back Pressure Thresholds
- Anatomy of Process Group
- Input and Output Ports
- Hands-On Exercise: Simplify Dataflows Using Process Groups
- Data Provenance Events
- FlowFile Lineage
- Replaying a FlowFile
- Hands-On Exercise: Using Data Provenance
- Querying Record Data
- QueryRecord Processor
- Writing Record Data
- ETL Operations
- Split and Join Processor
- Update Record Processors
- Wait and Notify Processors
- NiFi Architecture Overview
- Public Cloud Architecture
- Private Cloud Architecture
- Overview
- Serverless functions
- Demo: Deploying a Flow Definition as a Function
- Parameter Contexts
- Referencing Parameters
- Managing Parameters
- Migrating from Variables
- Hands-On Exercise: Creating, Using, and Managing Parameters
- Flow Definition Overview
- Creating a Flow Definition
- Importing and Deploying a Flow
- Using (migrating from) Templates
- Hands-On Exercise: Creating, Using, and Managing Flow Definitions
- Apache NiFi Registry Overview
- Using the Registry
- Hands-On Exercise: Versioning Flows Using NiFi Registry
- FlowFile Attribute Overview
- Routing on Attributes
- Hands-On Exercise: Working with FlowFile Attributes
- NiFi Expression Language Overview
- Syntax
- Expression Language Editor
- Setting Conditional Values
- Hands-On Exercise: Using the NiFi Expression Language
- Controller Services Overview
- Common Controller Services
- Hands-On Exercise: Adding Apache Hive Controller
- Record-oriented data
- Record-based Processors
- Avro Schema Registry
- Schema Forma
- Dataflow Optimization
- Control Rate
- Managing Compute
- Hands-On Exercise: Building an Optimized Dataflow
- Monitoring from NiFi
- Reporting
- Examples of Common Reporting Tasks
- Hands-On Exercise: Monitoring and Reporting
- NiFi Security Overview
- Securing Access to the NiFi UI
- Metadata Management
- NiFi Integration Architecture
- Available ReadyFlows
- A Closer Look at NiFi and Apache Hive
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