Join this Product Hour to learn how you can use built-in formulas, array processing, SQL-based transformations, and custom code to meet the most demanding data transformation needs for your automation projects.
Transforming data is an essential part of your integration and automation project. Transformation can include: converting data from one format to another; converting raw source data into usable forms; converting data types; cleansing by removing dups or noise; and enriching with 3rd party data sources. Â
What will you learn? Data transformations.
Data cleansing, validation, and enrichment
Merging and joining data from multiple sources
Aggregate transformations with Workato Collections
Pushdown SQL transformations for ELT
Advanced transformations with Javascript, Ruby
Likewise, for more on the Workato platform itself, click this link to head to workato.com.
Likewise, for more on the Workato platform itself, click this link to head to workato.com.
Likewise, for more on the Workato platform itself, click this link to head to workato.com.
Likewise, for more on the Workato platform itself, click this link to head to workato.com.
The post A practical guide to data transformations with Workato appeared first on Workato Product Hub.
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