Introduction

MuleSoft is a data integration platform built to connect a variety of data sources and applications, and perform analytics and ETL processes. These can be used with the Studio graphical user interface, dataflow, and API designer kits to create integrations and analytics to meet business needs.

Course Content

1.Introducing API-Led Connectivity

• Why Mulesoft?
• What is API-led connectivity.
• Benefits of Mulesoft
• What is Anypoint Platform?
• What is a web service and APIs
• APIs: Directories and portals
• APIs: Make calls to secure and unsecured APIs
• Introduce API-led connectivity with Anypoint Platform

2.Designing APIs

• API with RAML?
• What is Restful API Modeling Language?
• Mock an API: Test its design before it is built
• Create a portal for developers
• How to use an API?
• Make an API discoverable by adding it to the private Exchange

3.Building APIs

• What are Mule applications, flows, messages, and message processors?
• Use Anypoint Studio to create a flow graphically
• Build, run, and test a Mule application
• Use a connector to connect to a database
• Use the graphical DataWeave editor to transform data
• Create a RESTful interface from a RAML file
• Connect an API interface to the implementation

4.Deploying and Managing APIs

• How to deploy Mule applications
• Use properties in Mulesoft applications so they can be easily moved between environments
• Deploy a Mule application to the cloud
• Create and deploy a proxy for an API in the cloud
• Restrict access to an API proxy
• PART 2: Building Applications with Anypoint Studio

5.Accessing and Modifying Mule Messages

• Log message data
• Debug Mule applications
• Read and write message properties
• Write expressions with Mule Expression Language (MEL)
• Create variables

6.Structuring Mule Applications

• Create and reference flows and subflows
• Pass messages between flows using the Java Virtual Machine (VM) transport
• Investigate variable persistence through subflows and flows and across transport barriers
• Encapsulate global elements in separate configuration files
• Explore the files and folder structure of a Mule project

7.Consuming Web Services

• Consume RESTful web services with and without parameters
• Consume RESTful web services that have RAML definitions
• Consume SOAP web services
• Use DataWeave to pass parameters to SOAP web services

8.Handling Errors

• Describe the different types of exception strategies
• Handle messaging exceptions in flows
• Create and use global exception handlers
• Specify a global default exception strategy

9.Controlling Message Flow

• Route messages based on conditions
• Multicast messages
• Filter messages
• Validate messages

10.Writing DataWeave Transformations

• Write DataWeave expressions for basic XML, JSON, and Java transformations
• Store DataWeave transformations in external files
• Write DataWeave transformations for complex data structures with repeated elements
• Coerce and format strings, numbers, and dates
• Use DataWeave operators
• Define and use custom data types
• Call MEL functions and Mule flows from DataWeave transformations

11.Connecting to Additional Resources

• Connect to SaaS applications
• Connect to files
• Poll resources
• Connect to JMS queues
• Discover and install connectors not bundled with Anypoint Studio

12.Processing Records

• Use the For Each scope to process items in a collection individually
• Use the batch job element (EE) to process individual records
• Trigger a batch job using a poll
•  Use a batch job to synchronize data from a legacy database to a SaaS application