Ingesting with Cloudera DataFlow

Course Information

Course Name

DOPS-242: Ingesting with Cloudera DataFlow

Exam code

DOPS-242

Duration

4 Days

Certification

Cloudera Data Operator

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

Module 1: Introduction to Cloudera Flow Management

·   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

Module 2: Processors

·   Overview of Processors

·   Processor Surface Panel

·   Processor Configuration

·   Hands-On Exercise: Start Building a Dataflow Using Processors

Module 3: Connections

·   Overview of Connections

·   Connection Configuration

·   Connector Context Menu

·   Hands-On Exercise: Connect Processors in a Dataflow

Module 4: Dataflows

·   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

Module 5: Process Groups

·   Anatomy of Process Group

·   Input and Output Ports

·   Hands-On Exercise: Simplify Dataflows Using Process Groups

Module 6: FlowFile Provenance

·   Data Provenance Events

·   FlowFile Lineage

·   Replaying a FlowFile

·   Hands-On Exercise: Using Data Provenance

Module 7: Reading and Writing Record Data

·   Querying Record Data

·   QueryRecord Processor

·   Writing Record Data

Module 8: Enriching Record Data

·   ETL Operations

·   Split and Join Processor

·   Update Record Processors

·   Wait and Notify Processors

Module 9: NiFi Architecture Overview

• NiFi Architecture Overview

• Public Cloud Architecture

• Private Cloud Architecture

Module 10: DataFlow Functions

• Overview

• Serverless functions

• Demo: Deploying a Flow Definition as a Function

Module 11: Parameters

• Parameter Contexts

• Referencing Parameters

• Managing Parameters

• Migrating from Variables 

• Hands-On Exercise: Creating, Using, and Managing Parameters

Module 12: Flow Definitions and Templates

• 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

Module 13: Apache NiFi Registry

• Apache NiFi Registry Overview

• Using the Registry

• Hands-On Exercise: Versioning Flows Using NiFi Registry

Module 14: FlowFile Attributes

• FlowFile Attribute Overview

• Routing on Attributes

• Hands-On Exercise: Working with FlowFile Attributes

Module 15: NiFi Expression Language

·       NiFi Expression Language Overview

·       Syntax

·       Expression Language Editor

·       Setting Conditional Values

·       Hands-On Exercise: Using the NiFi Expression Language

Module 16: Controller Services

• Controller Services Overview

• Common Controller Services

• Hands-On Exercise: Adding Apache Hive Controller

Module 17: Record-based Components

• Record-oriented data

• Record-based Processors

• Avro Schema Registry

• Schema Forma

Module 18: Dataflow Optimization

• Dataflow Optimization

• Control Rate

• Managing Compute

• Hands-On Exercise: Building an Optimized Dataflow

Module 19: Monitoring, Reporting, and Troubleshooting

• Monitoring from NiFi

• Reporting

• Examples of Common Reporting Tasks

• Hands-On Exercise: Monitoring and Reporting

Module 20: NiFi Security

• NiFi Security Overview

• Securing Access to the NiFi UI

• Metadata Management

Module 21: Integrating NiFi

• NiFi Integration Architecture

• Available ReadyFlows

• A Closer Look at NiFi and Apache Hive

All Cloudera certification courses are conducted by certified trainers from Iverson.

Digital Methods acts as the official training partner and assists with program consultation, registration, coordination, scheduling, and administrative arrangements to ensure a seamless and well-managed training experience.