Upsolver
search
⌘Ctrlk
Contact Support
Upsolver
  • Welcome to Upsolver
  • Getting Started
    • Start using Upsolver for free
    • Get started as a Upsolver user
    • Upsolver concepts
    • Upsolver Amazon AWS deployment guide
    • Tutorials and FAQ
    • Glossary
    • Troubleshooting
  • Connecting data sources
    • Amazon AWS data sources
    • Microsoft Azure data sources
    • Kafka data source
    • Google Cloud Storage data source
    • File upload data source
    • CDC data sources (Debezium)
    • JDBC data source
    • HDFS data source
    • Data source UI
    • Data source properties
  • Data outputs and data transformation
    • Data outputs
    • Data transformation
      • Transform with SQL
      • Work with Arrays
      • View outputs
      • Create an output
      • Run an output
      • Edit an output
      • Duplicate an output
      • Stop an output
      • Delete an output
  • Guide for developers
    • Upsolver REST API
    • CI/CD on Upsolver
  • Administration
    • Connections
    • Clusters
    • Python UDF
    • Reference data
    • Workspaces
    • Monitoring
    • Security
  • Support
    • Upsolver support portal
  • Change log
  • Legal
gitbookPowered by GitBook
block-quoteOn this pagechevron-down
  1. Data outputs and data transformation

Data transformation

This article redirects to the different pages that go over the various data transformation capabilities available in Upsolver.

  • Transform with SQL

    • Mapping data to a desired schema

    • Transforming data with SQL

    • Aggregate streaming data

    • Query hierarchical data

  • View outputs

  • Create an output

    • Modify an output in SQL

    • Add calculated fields

    • Add filters

    • Add lookups

    • Output properties

    • Run an output

  • Edit an output

  • Duplicate an output

  • Stop an output

  • Delete an output

PreviousKafka data outputchevron-leftNextTransform with SQLchevron-right

Last updated 5 years ago

Was this helpful?

Was this helpful?