S3 Data Lake and Workflowy integrations and automations

Seamlessly connect S3 Data Lake and Workflowy. Automate workflows, and boost efficiency with Workato.

Rating

4.9

Pre-built

150+

integrations

Total

100+

active users

avg

2 min

to connect

Custom Connections

Available

via HTTP connector

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Build Powerful Workflows, fast

Triggers

When this happens…

Actions

Do this…

S3 Data Lake
  • Create table
    Create an Iceberg table through AWS Glue data catalog in S3 Data Lake
  • Custom action
    Custom action in S3 Data Lake
  • Get table definitions
    Get table definitions by table name in S3 Data Lake
  • Import data
    Import data into an Iceberg table in S3 Data Lake
  • List tables
    Lists all tables from a database in S3 Data Lake
  • Query data
    Query data from a table in S3 Data Lake

    • Any other action you can think up

Workflowy
  • Complete Node
    Complete a node in Workflowy
  • Create Node
    Create a node in Workflowy
  • Delete Node
    Delete a node in Workflowy
  • Export All Nodes
    Export all nodes in Workflowy
  • List Nodes
    Retrieve a list of nodes in Workflowy
  • List Targets
    Lists all targets in Workflowy
  • Move Node
    Move a node to a new parent in Workflowy
  • Retrieve Node
    Retrieve a node in Workflowy
  • Uncomplete Node
    Mark a node as not complete in Workflowy
  • Update Node
    Update a node in Workflowy

    • Any other action you can think up

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