Data Destinations Overview
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Data Destinations Overview

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Article summary

A data destination is a location or system where data is sent for further processing, analysis, or storage. This can be:

Selecting the Optimal Data Destination

Understanding the various data destinations available and their corresponding benefits is key to establishing an efficient data management strategy. This guide offers insights into different use cases and the data destinations best suited for each. This will assist in aligning your data management decisions with your organization's objectives.

Use CaseDestination
Data visualization, reporting, and BI of simple and small dataFor datasets with fewer than ~100K rows not needing complex transformations, a dashboarding app such as Tableau, PowerBI, or Looker Studio is suitable. This avoids the need for an intermediate storage, optimizing data workflows.
Data visualization, reporting, and BI of complex or large dataFor tasks with large or intricate datasets, consider cloud data warehouses like Snowflake, BigQuery, Databricks, or Amazon Redshift. These platforms support significant data volumes and SQL transformations. They also integrate with many BI tools.
Building a data lakeFor constructing a data lake to store large, diverse raw datasets, consider storages such as Amazon S3, Azure Blob Storage, or Google Cloud Storage.
Intermediate storage for complex ETL processesFor ETL tasks using systems like Databricks or Azure Synapse, services like Amazon S3, Azure Blob Storage, or Google Cloud Storage can act as staging areas for raw data.
Data activationTo reintroduce enriched data into original applications, you can send data back to platforms like Salesforce, HubSpot, or other CRM/ERP systems.

Destination Details

On the Destinations page, click on your data destination to see your Destination Details where you can

  • Change your data destination name
  • Select a different authorizer

Other Data Destination Operations

Duplicate/Clone a Destination

  1. Click on the Clone Settings button next to your destination.
  2. Proceed with the on-screen prompts.

Delete a Destination

If you want to delete a data destination, make sure you first delete all data flows the destination is connected to.

To delete a data destination:

  1. Go to the Destinations page.
  2. Click the bin icon for the relevant data destination.
  3. Type DELETE to confirm your action.

Broken Destination Operation

Restart Destination

If a data destination enters a broken state (marked red), you can attempt to restart it. If successful, the destination becomes will start working again. If restarting fails, an error message will let you know where the issue is.

In most cases, you will need to reauthorize your service.


Error Reporting Best Practice

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