Dynamic Release Record (2026)
Last updated:2026-03-12 11:00:46
January 2026
Update | Description | Release Date |
data development | New feature: Studio Data Development IDE: The newly launched Studio Data Development IDE creates a unified development experience for SQL and Notebook. It supports Notebook development, multi-grammar switchover, cell SQL operation, and Notebook task scheduling execution in orchestration space. It also supports SQL debugging, code reuse, Git integration, file versions, and more. Orchestration space adds DLC Spark real-time computing capability: Adds DLC Spark Streaming task type, offering one-stop management for real-time task development, orchestration, and monitoring. Related documentation: DLC Spark Streaming Orchestration space adds data quality node: Supports data quality task orchestration and operation. Related documentation: Data Quality Orchestration space workflow adds overall scheduling capability: The scheduling mode is double-upgraded, supporting task-level and workflow-level scheduling to meet management requirements at different granularities. Related documentation: Universal Development Process for Workflow Scheduling WeData Bundle adds engineering delivery capability: CLI supports command line operation and automated integration. Bundle describes workflow and task development resources as source files to integrate into business software engineering system. Combined with CI/CD such as GitLab Pipeline, it implements cross-environment automated release migration, simultaneously supports online preview and rapid generation of workflow and task YAML, enhancing configuration efficiency and maintainability. Related documentation: CI/CD-Continuous Integration and Delivery Optimization: Ops center manual task supports monitoring alarm: Alarm rule supports configuration of manual task alarm rules for monitoring manual tasks. Ops center instance details support displaying quality task detail: The instance details page supports displaying the overall detection status of quality tasks and the detection list. | 2026-01 |
Basic Platform | New feature: Time zone adaptation of basic module: The system uses UTC time as the base time. Timestamps and event records store UTC time with time zone offset, automatically converting to local time display according to the user's time zone. Show data source associated tasks: Data source management supports displaying associated tasks that use data sources. New data authority capability: Add new querying data source authorization results and withdraw data source authorization power. | 2026-01 |
Data Integration | New feature: New data reconciliation in real-time integration link: Add new data reconciliation feature to monitor data differences in the source and target tables, and discover timely data consistency issues. Extend real-time integration entire database migration capability: Extend single table configuration capability for entire database task, support viewing mapping relationship between source and target tables, configure field mappings and filter data at table granularity. The entire database task is changed from a fixed link to a star link, with over 30 sync links newly-added. Related documentation: Whole database task configuration preview, Supported data sources for whole database link Real-time integration entire database/sharding task supports conversion function: The data synchronization process supports lightweight ETL transformation processing, which can convert existing data and synchronize it to the target table after processing. Related documentation: Whole Database/Database and Table Sharding Task Conversion Function Optimization: Real-time integration alarm capabilities optimized: Add new "number of data writes" monitoring and alerting indicators, core key events support alerts subscription, optimize total number of restarts alarm metric logic, add default alarm rule. Related documentation: Rule Management Real-time integration entire database task supports consuming multiple Kafka Topics: The entire database task supports consuming multiple Kafka Topics simultaneously and designating the database and data table to be synchronized under each Topic. | 2026-01 |
Data Science | New feature: Support redirection to view data, features, and model lineage. Related documentation: Common Experiment Features, models, and experiments support user-level permission authorization based on entity. Support model service quality monitoring and trigger retrain. Related documentation: Model Service Feature management overall upgrade, support DLC and EMR as offline features, Redis as online features, and support online/offline feature synchronization. Related documentation: Feature Management Online inference supports custom images and load balancing. Related documentation: Model Service Added support for GPU-based deep learning training, experiment management records, deep learning model management, and deep learning model service deployment. Related documentation: Data Science Practical Tutorial Added support for codeless AutoML experiments in scenarios like categorization, regression, and time series prediction. Related documentation: AutoML Experiment | 2026-01 |
Data Governance | New feature: Catalog feature addition: For scenarios where DLC integration is already enabled and TCLake is turned on, the Catalog module is newly added to display unified metadata from TCLake. The unified Catalog follows the three-tier structure of Catalog-Schema-Table/View/Model/Volume/Function, incorporating structured data, models, and unstructured data into Catalog management. It displays basic metadata info, table lineage, model lineage, change history, data quality, access log, instructions, and allows uniform permission control. Added inference table quality monitoring, supporting Dashboard configuration under the default Catalog and viewing KPIs of inference tasks. Enrich table details page display info in Catalog for viewing metadata info. Support displaying the last change information of a table for viewing and analyzing metadata change operations. Related documentation: Catalog Newly-added table detailed features: Asset Details Page adds new instructions; field level adds new instructions; Added snapshot/time series table quality monitoring, supporting Dashboard configuration in Emr-hive table detail and viewing KPIs of inference/snapshot/time series tasks. Related documentation: Data Discovery Enrich table details page display info in Catalog for viewing metadata info. Support displaying the last change information of a table for viewing and analyzing metadata change operations. Optimization: Feature optimization for table detail: Configure change monitoring notifications and support configuration of notification messages for frequently used changes. DLC details page allows access for viewing DLC metadata. Related documentation: Data Discovery | 2026-01 |
Platform overall | Optimization: Reconstruction of WeData core link OpenAPI: Reconstructed the main APIs for WeData platform foundation, data development, task operations, and data asset. Related documentation: API overview | 2026-01 |
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