Release Version 1.52 (Dec-03-2020)

Note: The content may have changed or moved since you last viewed it. Always access the latest content via the Hevo Docs website.

Activate

Hevo introduces a brand new offering to close the loop on making insights and other data from the data platform easily available in operational systems like CRM. Currently, support for data movement from Amazon Redshift to Salesforce has been enabled. Read Hevo Activate.

Amazon Redshift as an Activate Warehouse

• Enabled integration with Amazon Redshift as an Activate Warehouse for creating Activations.

  

  Read Amazon Redshift.

Pipelines

Data Loading Progress

• Provided the feature to view the progress of the data loading process through different stages in your Hevo Pipeline. Read Viewing Pipeline Progress.

UI-driven Transformations

• Introduced a UI-based drag-and-drop setup where users can create and apply transformation workflows on the ingested Events. This feature is currently in Beta phase and enabled upon request. Read Transformations.

Sources

Microsoft Azure MySQL

• Added support for Microsoft Azure MySQL as an independent Source. Read Microsoft Azure MySQL

Amazon RDS MySQL

• Added support for Amazon RDS MySQL as an independent Source. Read Amazon RDS MySQL

Microsoft Azure PostgreSQL

• Added support for Microsoft Azure PostgreSQL as an independent Source. Read Microsoft Azure PostgreSQL

Destinations

Snowflake

• Provided the option to create transient tables in the Snowflake Destination. Read Snowflake.

Documentation Changes

Hevo Activate (New)

• Familiarizing with the Activate UI (New)

• Creating and Modifying Activations (Deleted)
• Creating Activations

• Modifying Activations

• Creating an Activation Target (New)

Basic Concepts

• Query Modes for Ingesting Data from Relational Databases

Destinations

• Snowflake

Pipelines

• Viewing Pipeline Progress (New)

• Transformations (New)

  • Python Code-Based Transformations

  • Drag and Drop Transformations (New)

    • Transformations and Properties (New)

    • Examples of Drag and Drop Transformations (New)

  • Transformation Reference (New)

    • Datetime Field Values (New)

    • Rounding Modes (New)

    • Text Casing (New)

Sources

• Amazon RDS MySQL (New)

• Freshdesk

• Google Cloud PostgreSQL
• HubSpot

• Microsoft Azure MySQL (New)

• Microsoft Azure PostgreSQL (New)

User Interface

• Familiarizing with the Pipelines UI

• Familiarizing with the UI

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Revision History