Completed server-side code for the dashboard templates.
Email Alerts module introduced for new reports and BS alerts.
Internationalization is introduced to make the Platform adaptive to the various World languages.
Services are provided to implement Version Control facility for the PA workflows.
Implemented the cache mechanism to improve dashboard performance.
Database High Availability system introduced at the operational level.
New Data Connectors:
Appstore
Mongo DB
Enhancements:
Email server configuration enhancements (through AMQ)
Logging mechanism enhancement at Karaf layer.
UI enhancements provided across the platform for uniformity in color and style.
Data Pipeline
New Features:
The following new components are provided:
Data Readers: Notification Subscriber (Data Reader)
Data Writers: Video Writer and Notification Publisher
Transformations: Stream Component, Flatten JSON to filter data from the nested JSON
ML: Python Video Model
Ingestion: SFTP Python Monitor, Twitter Scrapper, Video Stream Consumer, API Connectors, OPC UA consumer
WebSocket: WebSocket Producer
Provided the Log Manager functionality to centralize the log process for all the running pipeline at a new place.
Introduced Scheduler to schedule the Pipeline workflows.
The supported API connectors are:
Service Now
Google Analytics
Data Preparation
New Features:
New Transforms:
Unix Timestamps Converter (converts the Unix Timestamps into specified format)
Fill Empty (from above or below)
Character length (Length of the value in the column including space)
Undo/Redo options also work while using the ‘CTRL+Z’ and ‘CTRL+Y’ keys, respectively.
Dialog box gets hidden in case of successfully performed transformations.
The ‘Delete’ option introduced for the transformation steps.
Enhancements:
UI enhancement for the SQL and Expression Editor transforms.
ETL
New Features:
SFTP integration for the Excel sheets input component to create a new dataset.
Predictive Workbench
New Features:
Encryption option applied for the Python Workspace.
Document Migration: The process completed for the Python workflows.
Deep Learning Workspace:
The ‘Utility Module Scripts’ component provided in the Custom Script node.
Model Training: Provided with the Object Model Detection Training component
Python Workspace
The following new components are provided:
Data Source:
SFTP Reader
The ‘Statistical Analysis’ tree-node introduced with the ‘Hypothesis Testing’ component.
Data Preparation:
Encoder
Data Type Definition
Sample
Filter
Formula
Algorithms
Tree-Based Modelling
Data Writer
FTP Writer
Custom Script:
Utility Module Script
Models
Import Model- to import a model
Imported Models- to list all the imported models
Scheduler in the Python Workspace supports the same data source used in the parallel workflows.
Library Management tab has the ‘Python Packages’ option to perform the following tasks:
Install New Package- Install new Python packages
Installed Package- Access and use the installed Python packages
Enhancements:
Enhancements for the Custom Python script component. Please Note:
The Version Control functionality for the Python Workspace is in the Alpha stage.
The PySpark Workbench is in the Alpha stage.
Business Story
New Features:
Significant term aggregation in the
Circumplex added in the list of charting components.
Data Insights: Timeseries chart integration to display more profound insights.
Legend option enabled for the Pie chart.
Enhancements:
BDB Search
Measure filter values with k/M/lakh/million unit for the “=is/is equal to” and “is between” operations are supported as search terms.
Formats of time such as ‘yesterday,’ ‘the day before yesterday,’ and ‘two days ago’ are supported as search terms.
Default color and styling updated for the Business Story module.
Dashboard Designer
Charting
New Features:
The following features are provided for the Grids components:
A new property for Header text alignment (using the SDK method)
Automatic adjustment for the column while Maximizing the grid
Custom tooltip property
Pivot Grid: Provided an option to wrap the header names.
Provided a Custom tooltip with formatter for all the charting components
Map: Category color feature implementation
Leaflet: add an option to update the marker icon
Group Column chart: Create a new component with grouping for column data
Group Bar chart: Round radius corner update
Line chart: Line plot should be continuous when there is no data in between two points
The Scatter Plot & Tree Map charts support dataset connections created using the Data Store data source.
Legend with a checkbox: The same legend can be associated with multiple components if they have same fields.
Scorecard:
Increased size of the expand button in the mobile view to get expanded along with the click event.
Scroller provided in the mobile view for the Scorecard component.
Newly added pre-scripted Custom charts components into the Components
shelf:
D3 Violin chart
D3 Network chart
D3 Line chart
Single Value components: Inclusion of font style, family, background color, and border-radius properties for component tooltip where custom tooltip option is not present.
Tooltip provided for components to show minimum field requirement.
Calculation field should list in custom tooltip & Custom Formatter
Enhancements:
Data Grids- Static Indicator Enhancement
Enhancements for the Group Column chart
Designer
New Features:
Designer- Object browser and conditional parameters display component name instead of id.
Render the first view of the dashboard by caching the ‘getRecords’ services.
Dashboard Designer Homepage UI Enhancement to accommodate Sample Dashboard and Dashboard Template section Highlighter provided for the components that support the Data Store connector.
Help section updated with the latest UI screenshots referring to the release version 4.5
Enhanced usability for Guided tour as a component.
Highlighter provided for the components supports the Data Store connector.