1) Introduction to data integration and Cloud Data Fusion

• Understand the need for data integration

• List the situations/cases where data integration can help businesses

• List the available data integration platforms and tools,

• Identify the challenges with data integration

• Understand the use of Cloud Data Fusion as a data integration platform

• Create a Cloud Data Fusion instance

• Familiarize with core framework and major components in Cloud Data Fusion

2) Building pipelines

• Understand Cloud Data Fusion architecture

• Define what a data pipeline is

• Understand the DAG representation of a data pipeline

• Learn to use Pipeline Studio and its components

• Design a simple pipeline using Pipeline Studio

• Deploy and execute a pipeline

3) Designing complex pipelines

• Perform branching, merging, and join operations

• Execute pipeline with runtime arguments using macros

• Work with error handlers

• Execute pre- and post-pipeline executions with help of actions and notifications

• Schedule pipelines for execution

• Import and export existing pipelines

4) Pipeline execution environment

• Understand the composition of an execution environment

• Configure your pipeline’s execution environment, logging, and metrics

• Understand concepts like compute profile and provisioner

• Create a compute profile

• Create pipeline alerts

• Monitor the pipeline under execution

5) Building Transformations and Preparing Data with Wrangler

• Understand the use of Wrangler and its main components

• Transform data using Wrangler UI

• Transform data using directives/CLI methods

• Create and use user-defined directives

6) Connectors and streaming pipelines

• Connectors

• DLP

• Reference architecture for streaming applications

• Building streaming pipelines

7) Metadata and data lineage

• List types of metadata

• Differentiate between business, technical, and operational metadata

• Understand what data lineage is

• Understand the importance of maintaining data lineage

• Differentiate between metadata and data lineage