Changelog

Torch 1.2.1

Date: 31 January 2022

• Added a New Sub-Strategy for Partition Based Incremental Strategy. For more information, see Partition based Strategy.
• Support to specify the result location at Asset Level. For more information, see Persistence Path Settings.
• Support to specify a Warning Threshold in the Policy Creation window. For more information, see Rule Definitions.
• Support for adding Tags to Policies. For more information, see Info tab.
• Support to view user information of Policies. For more information, see Viewing Policies.
• Support for selecting Database/Schema while creating Data Source Connections. For more information, see the respective data source in Creating Data Sources.
• Added Horizontal Scroll Bar to Sample Data. For more information, see Asset Details Sample Data Tab.

Torch 1.2.0

Date: 22 December 2021

• Added Column Selection at Asset Level. For more information, see Asset Selection.
• Added Notification Channel Configuration at Asset Level. For more information, see Alert Configurations.
• View Lineage at Column Level. For more information, see Lineage at Column Level.
• Support for New Connection Type for ATHENA, S3 and GLUE.

Torch 1.1.0

• Automate data quality and reliability at scale across the entire data pipeline, from ingestion to consumption.
• Eliminate downtime: Monitor enterprise data across data lakes, warehouses, and other repositories to eliminate issues that impact reliability.
• Scale workloads: Ensure availability for mission-critical data and workloads.
• Automate validation: Classify, catalog, and manage business rules for data at rest and data in motion.
• Automate taxonomy of sensitive and related data assets.
• Reconcile data in motion and during cloud migrations.
• Detect schema and data drift to improve dynamic data handling and ML and AI accuracy.
• Automate anomaly detection to identify and put context to quality issues.
• Automate data discovery, exploration, and validation.
• Identify and validate data quickly at scale.