7th Sep. 2017

Dashboard Designer

  1. Enhanced look, feel, and performance of the components.
  2. Enhancements on the dashboard responsiveness.
  3. Extensibility – to support the custom components.
  4. Introducing the Container component for easy handling.
  5. Users will be provided with an option to change the chart type and select X and Y axis with basic formatting at the runtime.
  6. Server-side pagination will be added to the Paging Grid.
  7. The Data Store connector will be introduced as a new data source connection in the Dashboard Designer.

Business Story

  1. Merge View – An option will be provided to create a view based on the two merged datastores.
  2. Enhancements for Datastore Scheduler and performance optimization.
  3. Global Filter Panel- Better management for the filtering options will be provided.
  4. Calculated field can be added at the view level.
  5. Implementing Conversational Analytics via the NLP enhancements in the text & Voice-based search.
  6. The ‘Analyze’ mode in the Business Story will be provided a Playable timeline.
  7. Introducing developer mode to design a view.
  8. Data store will be integrated with R & Python algorithms for advanced analytics.
  9. Data labels will be added to all the charts.
  10. Animation in chart to show data change & visual effects.
  11. Enhancement in Tile components.
  12. Introducing the ‘Export’ option in Business Story.

Platform

  1. Data Center Enhancements
    1. Data Store- Data will be restricted based on the selected User Property in the Data Set.
    2. Data Set- Visual Query generator will be added.
    3. Introducing API Connector with incremental load in the Data Preparation module.
    4. Data Connectors- FTP/SFTP based file connectors and HDFS will be added.
  2. Security- Enhancements in SSO, OAuth, and SAML.
  3. Upgradation in development stack.

Predictive Analysis:

  1. Python Integration-Provision to write custom Python script will be provided.
  2. Introduction of workspace will be added.
  3. R -Algorithms-Refactoring will be done.
  4. Predictive Analysis will be introduced as a Service which can be consumed by the third-party applications.
  5. Introduction of the Streaming algorithms.

Geospatial Analysis:

  1. Addition of all the standard world shapes.
  2. Enhancing the Geospatial Analysis plugin for optimization.

Data Preparation:

  1. Introducing custom Scala components in workflows.
  2. Enhancing the current workflows.
  3. Introducing the plugin to read from multiple input source systems and write into multiple Datastore.
  4. Enhancement in validation functions.
  5. Introduction of data profiling.
  6. Improved error recovery.
  7. Enhancement in usability features.
  8. Output can be written into different data sources.

Data Pipeline

  1. Big Data Pipeline framework to be developed into a full-blown reactive big data pipeline.
  2. Ability to run custom Pig scripts, hive scripts, store procedures, talend job, Unix shell scripts, BDB data preparation jobs and predictive services.
  3. Enhanced user interface.