BDB Road Map

3.0

January 20, 2017

Platform

  1. Play: It will enable users to create slideshows using documents.
  2. DataStore push services
  3. Multi -DataStore integration
  4. Server Monitoring Dashboard
  5. Notification features
  6. Basic Canned Report Designer with bursting features.
  7. Data Connector
    • Restful web service which supports the following authentications
      1. Basic
      2. Token based
      3. Form based
    • Social Media Connector (Facebook, Twitter) for dashboard designer & DataStore
  8. Data Pipeline:
    1. Data Input
      1. RDBMS Connectors
      2. Big Data Connectors
      3. Local File connector
      4. FTP File Connector (Recurring load)
      5. Streaming Data Connector
        1. Kafka
        2. Other Message Queue
        3. Form based
      6. Restful Web Service Connector
    2. Data Output:
      1. Write to DataStore
      2. Option for delta and full load
    3. Data Cleansing
    4. Filters
    5. Formulas
    6. Transform
      1. Sort
      2. Join
      3. Union
      4. Aggregate
    7. Schedule Model

Business Story

  1. Multi-Data store integration to get consolidated data based on single common dimensions
  2. Drill Across multiple DataStore
  3. Free Text and Voice based search
  4. Anomaly Detection
  5. Alerts

Dashboard Designer

  1. Direct Data connector for Predictive Analysis.
  2. Addition of more Scripting methods to make Scripting easy for BI dev.
  3. Addition of new Charts for predictive/ Big Data visualization scatter matrix/ decision tree, heat or plot chart to support large data
  4. Export Feature enhancement Support for export of SVG components (timeseries/map/graphics etc.) Options to choose the charts, pdf layout and font properties before exporting
  5. Enhancements for PR & ROC Curve Chart

Predictive Analysis

  1. Multiple Work flow support and compare models in R
    • View summary of Dataset in Data Source if workflow is in R environment.
    • Components to facilitate train, test and save models.
      1. R Split Data
      2. R Apply Model
      3. Save and Read Model in R
      4. R Performance
    • Algorithm supporting train, test method.
      1. R Naïve bayes with cross validation
  2. Cache result set of a workflow for a temporary period and view while clicking on a particular component.
  3. Revamp / Performance enhancements in R
  4. Spark components
    1. Spark Decision Tree
    2. Spark Index to String
    3. Spark Chi Square selector
    4. Spark Random Forest
    5. Spark PCA
    6. Spark KMean with Pipeline
    7. Spark Filter (Patch_2.5.3).
    8. Scheduler for Spark Work flows
    9. Support for CQL query in Cassandra native connector
    10. Cassandra native service using column selection in data management
    11. Implementation of platform connectors in Spark
      1. Spark SQL
      2. JDBC connections (MYSQL, ORACLE, MSSQL)
  5. HDFS Connector
    1. HDFS connector in Data management
    2. HDFS Reader in Predictive Analysis
    3. HDFS Writer in Predictive Analysis
  6. Recommendation Engine in Spark (ALS with collaborative filtering implicitly and explicitly)

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