Functional Programming with DataWeave

Description

A warm welcome to the Functional Programming with DataWeave course by Uplatz.

DataWeave is one of the easy-to-use and efficient functional programming languages. DataWeave provides features and functionality for transforming data. DataWeave also serves as an expression language to configure components and connectors. In DataWeave there are multiple modules that can be imported and applied and can perform a huge variety of operations such as string manipulation, URL encoding, date formatting, etc. DataWeave facilitates performing use cases where data needs to be read and parsed, to be formatted and transformed, finally to be sent as an output in an entirely different format. Examples include transforming CSVs into JSONs, XML into JSON or CSV, and the like. The beauty of DataWeave functional programming is that the developers can actually focus on building the transformation logic rather than devoting time on syntax, formats and parsing efforts.

What is Functional Programming?

Functional Programming is essentially the process of building software by composing pure functions, avoiding shared state, mutable data, and side-effects. Functional programming is declarative rather than imperative, and application state flows through pure functions. Functional programming is based on mathematical functions. A few of the popular functional programming languages include: DataWeave, Lisp, Python (not in strict sense), Erlang, Haskell, Clojure, etc.

DataWeave - Course Syllabus

1. DATAWEAVE (DW) INTRODUCTION

2. EXAMPLES OF DATAWEAVE

3. DW OPERATORS

4. MERGE FIELD FROM DIFFERENT OBJECT OPERATORS AND UPDATE OPERATOR

5. DW VARIABLES CONDITIONS AND FUNTIONSVARS

6. FLOW CONTROL

7. DW PATTERN MATCHING

8. DW FUNCTIONS

9. MAP-AND-PLUCK-OPERATOR

10. MAP-AND-MAPOBJECT

11. FLATTEN FUNCTION

12. PLUCK OPERATOR

13. DW SELECTORS

14. JOINBY AND SPLITBY

15. DATAWEAVE FUNCTION CHEAT SHEET

16. DATAWEAVE OPERATORS

17. TYPES OF ERRORS AND ESC CHARACTERS

18. ++ on DATES

19. DATAWEAVE BASIC TRANSFORMATION

20. DW DATA TYPES

21. SINGLE MULTI SELECTORS EXAMPLE

22. DW FILTER OPERATOR

23. ATTRIBUTE AND DESCENDANT SELECTOR

24. REDUCE AND ORDERBY FUNCTIONS

25. LOGICAL AND APPEND AND PREPEND OPERATORS

26. INDEXOF, KEYSOF, MINBY, MAXBY, REPLACE IN DW

27. SPLITAT, SPLITWHERE, TAKEWHILE, SUMOF

28. GEOMETRIC AND TIME OPERATIONS

29. GLOBAL VARIABLES AND DW FUNCTIONS

30. FUNCTIONS OVERLOADING AND LAMBDA EXPRESSIONS

31. HANDLING TRANSFORMATIONS IN DW

32. DEFAULT VALUES IN DATAWEAVE

33. RENAME JSON KEYS

34. TRANSFORM NESTED STRUCTURES TO FLAT

35. DATA ORGANIZATION USING DATAWEAVE

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