Platform

New Features

1. The code level updates are completed to support MySQL 8.0 for Repository Database.
2. Data Center: The Datasheet now supports ClickHouse.
3. All the configured modules are now displayed in the VCS Settings making it easier for the users to access and manage them.

Enhancements

1. The PostgreSQL Datastore settings support multiple IPs.

Please Note:

1. The BDB Platform is compliant with OWASP security standards.
2. The following modules are deprecated from the current version of the BDB Platform:
1. The Data Preparation module previously available in the Apps menu has been removed. (But the users can avail a more streamlined and efficient data preparation experience integrated inside the Data Center module for their Data).
2. The Old VCS Settings option from the Admin module has been removed ( But the users are provided with an enhanced Version Control option to configure the module-specific required VCS settings).

Data Preparation

New Features

1. Data Set Transformation Recommendations: Introducing the automated 'Suggestions', to assist the user in selecting suitable transformations from a comprehensive list tailored based on the selected data set. These auto-suggestions provide convenient options for transforming the targeted data set.
2. New Transformations:
1. Columns
1. Array to Columns
2. Functions
1. Exact
2. Extract Numbers
3. Extract with Regular Expression
4. If Missing
5. Split Invalid
3. Numbers
1. Round Multiple Columns using Floor Mode

Enhancements

1. User Interface (UI) Improvements for Transformations:
1. Expression Editor: Provided an intuitive interface to easily create and edit expressions
2. SQL Editor: Enhanced UI to let the users efficiently work with their data using SQL queries.

Please Note: : The Suggestions option is a Beta release.

Data Pipeline

New Features

1. Ensuring Data Accuracy: Implemented a validation mechanism for the ClickHouse driver in the DB Writer to verify the accuracy and integrity of queries.
2. Unified Event and Data Channel: Combined cluster events and data channels into a single user-friendly page for streamlined access and management.
3. Automated Job Scheduling: Enhanced the backend system to enable the scheduling of Python and PySpark scripts as automated jobs, ensuring efficient execution and task management.
4. Optimized ClickHouse Connectivity: Implemented a ClickHouse connection pull strategy for DB Sync, enabling efficient and reliable data synchronization between databases.

Enhancements

1. Synthetic Data Generator (SDG): The Synthetic Data Generator (SDG) now allows easy creation of data schemas, including options to define enumerations, date formats, and minimum/maximum constraints for both string and numeric data when uploading files.
2. Improved User Interface: Providing a more enhanced and user-friendly interface on the component and trash list pages, making navigation and data management effortless.
3. System Pod Details:
1. Download Pod Logs: Easily download pod logs for better analysis and troubleshooting.
2. Restart Indicator: Identify pods with multiple (more than 1) restarts through a convenient indicator.
4. Streamlined Job Monitoring: Introducing a new "Clear" option for Job monitoring instances, enabling quick and efficient clearing of monitored data for better visibility and organization.

Data Science Lab

New Features

1. Enhanced AutoML Experiment Configuration: The Configure tab now includes an option to exclude specific columns from the analysis, giving users more control over the feature selection process.
2. Improved Model Explainer Dashboard: The dashboard now accurately reflects changes based on the selected columns (excluding any columns that users have chosen to exclude from the analysis).
3. Enhanced Script Export Validation: Before exporting a script to the Data Pipeline, a validation process has been implemented to ensure the accuracy and integrity of the exported script.

Enhancements

1. Improved User Experience: A confirmation message will now be displayed when clicking on the Data Preparation icon, ensuring that users can proceed with confidence and avoid accidental actions.
2. Streamlined Export to Pipeline Drawer: The Export to Pipeline drawer has undergone design changes to improve its overall usability and aesthetics, making it more intuitive and user-friendly.
1. A sub-drawer to mention the list of libraries has been added.
2. Enhanced Style and display of the Export to Pipeline drawer.
3. User Interface Enhancements in AutoML Configure Tab: The Configure tab for AutoML models is more intuitive and visually appealing now, making it easier for users to effectively configure their AutoML models.
4. Accessible Information Buttons: Information buttons have been added to the Export to Pipeline drawer and the Configure tab of the AutoML models, providing users with convenient access to additional information and guidance on these features.

Designer

Features

1. The following new charts are introduced to the Designer charting gallery:
1. Sankey Chart
2. Knowledge Graph
1. Option to configure Node Sizes from a dataset
2. Node color- Indicator [type and range] and from a dataset
3. Node shape - Indicator [type and range] and from a dataset
4. Node and its children get highlighted with a click.
3. New Word Cloud
2. Introducing four captivating themes for the Dashboards to elevate the visual appeal of your Dashboards:
1. Emerald Forest
2. Burnished Bronze
3. Sky Oasis
4. Charcoal Grey
3. Title and Subtitle Properties: All charts with Title and Subtitle Properties now come with built-in text wrap functionality. This means that Titles and Subtitles will automatically wrap text, ensuring a neat and professional appearance for your charts.
4. Enhanced Drill Highlighter:
1. The Drill Highlighter feature can now easily highlight selected rows and columns based on their chosen event, even on the second click.
2. This feature provides enhanced user interaction by automatically highlighting the selected rows and columns when an event is triggered. This provides a more intuitive and visually appealing way for users to identify and focus on specific data points during their analysis or exploration process.
5. User Interface Enhancement: Updated the UI for the default view of the Input and Text components.

Please Note: Starting from this release, the Data Science Service connection option has been deprecated and removed from the Data Connectors section of the Designer module.

Story

New Features

1. View Duplicate: Users can now make a copy of an existing chart (View) directly within the story, eliminating the need to recreate charts from scratch.
2. Calculated Field: When using the Create Calculation Field feature, a warning message may appear if there are issues with the formula expression syntax or if the chosen Type option for the new Formula Field is not suitable.
3. Create Story Page: We have introduced an enhanced feature that allows users to specify the Delimiter name while uploading a CSV file. This enhancement simplifies the process of creating a new story from the uploaded data, streamlining the workflow, and ensuring data accuracy.
4. Global Filter Exclude icon: The excluded Views from the Global filter get indicated with this icon on the Storyboard.
5. PDF Export: the user can export the chart/ view to PDF format with a customized header and footer.

Enhancements

1. Enhanced Drill Highlighter in Interactions:
1. The Drill Highlighter feature can now easily highlight selected rows and columns based on their chosen event, even on the second click.
2. This feature provides enhanced user interaction by automatically highlighting the selected rows and columns when an event is triggered. This provides a more intuitive and visually appealing way for users to identify and focus on specific data points during their analysis or exploration process.
2. Enhanced Conditional and Category Color Properties: The user interface for managing conditional and category-based color settings has been significantly improved.
3. The filtering functionality in stories is now case-insensitive when using "Like" and "not Like" operations in databases like Mongo, ClickHouse, and PostgreSQL.
4. View Filter: When a date filter is applied, the chart now shows the applied date filter value inside the context menu of the View Filter.
5. Synonyms Creation: Improvements have been made to the backend system for creating synonyms.