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Overview of Course

Anypoint Platform Development: DataWeave 2.0 (Mule 4) is a course designed to help developers understand and implement complex data transformations using the DataWeave 2.0 language in Mule 4.

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Course Highlights

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In-depth understanding of DataWeave 2.0 in Mule 4

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Advanced features of DataWeave 2.0 such as streaming, error handling, and metadata management

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Hands-on experience with real-world scenarios




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Skills You’ll Learn

#1

Understanding the DataWeave 2.0 language

#2

Working with complex data transformations

#3

Streaming data in DataWeave 2.0

#4

Handling errors in DataWeave 2.0

#5

Managing metadata in DataWeave 2.0

#6

Creating custom function libraries

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1-on-1 Training

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  • Option Item Book a free demo before you commit!
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Corporate Training

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  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
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Curriculum

  • Apply DataWeave fundamentals as learned in the Development Fundamentals course
  • Configure metadata for DataWeave transformation input and output
  • Set example input for DataWeave transformations

  • Organize DataWeave code into variables and functions
  • Pass functions and lambda expressions as parameters to other DataWeave functions
  • Chain DataWeave functions together
  • Create and use reusable DataWeave modules
  • Write more robust functions using the match operator to test for data types

  • Add components to and remove elements from arrays and objects
  • Construct objects from lists of DataWeave expressions using object constructor curly braces { }
  • Troubleshoot common issues when using object constructor curly braces { }

  • Transform elements of arrays into a new array using the map operator
  • Transform elements of objects into a new object using the mapObject operator
  • Combine map and mapObject operators to transform complex schema
  • Extract an array of keys and/or values from an object using the pluck operator
  • Reduce and accumulate array elements to other output types using the reduce operator

  • Write recursive functions to transform complex schema
  • Replace keys or values at any level of a nested data structure using a lookup object
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