This video shows the creation of a basic BDB pipeline by using different components and how to use event panel.




This video explains how to use data preparation scripts from Data Cleansing in BDB Data Pipeline




This video explains on how to use different components in BDB's Data pipeline (Reader, Writer & Transformation).

1. Once the installation process is complete and when we click on the shortcut icon of lite, the page comes up as shown in the below image and we need to click on start server to start  the lite.


  BDBStartServerImg.PNG (Size: 33.2 KB / Downloads: 375)



2 . BDBLite Home Page URL :
 
http://bdblite.com:10000/home/#/signin


  BDBLiteHomePage.PNG (Size: 99.44 KB / Downloads: 379)
           
After the server gets started it will be redirected to this URL and logs in with the credentials passed during the first time installation.


  BDBLiteClickHereToLogin.PNG (Size: 33.98 KB / Downloads: 363)

Note : If user has closed the window by mistake, we can click on "Click Here To Login" to re-launch the application on browser. 



3. CXF-URL :


http://bdblite.com:10000/cxf/


  CXF.PNG (Size: 67.16 KB / Downloads: 438)

This URL let us know whether services are up or not, we can check available RESTful services.

Note: In Task Manager we can see processes running like nginx, python.


  Processes.PNG (Size: 81.19 KB / Downloads: 445)


4. Checking Elastic Server indices:

a. http://bdblite.com:10000/bvzes/_cat/indices?v


  ElasticURL.PNG (Size: 66.67 KB / Downloads: 430)

Above is the BDBLite Elastic URL where we can find datastore indices, count of data written into elastic, indices version etc.

b. http://bdblite.com:10000/bvzes/1081344v1...000&pretty


  ElasticURL2.PNG (Size: 38.52 KB / Downloads: 445)

This URL displays the data in JSON format in elastic for the respective index. We need to pass the corresponding datastore index to validate data in elastic.

5.AMQ :

http://bdblite.com:10000/admin/queues.jsp


  ActiveAMQ.PNG (Size: 89.9 KB / Downloads: 433)

whenever we create/refresh datastore then in this url we can see request sent to AMQ and one count will be increased in  “Messages Enqueued” column of “bizvizmq” Queue. Once the refresh process is completed then count will be increased in “Messages Dequeued” ie, data will be written into the elastic once it gets moved from enqueue to deque.


 

The custom component in the designer will enable users to add any third-party visual-components like charts/ grids/ gauges etc. into the dashboard, which can consume data from our inbuilt BDB connectors.

Configuration Steps:

1. Drag and drop custom chart in designer area.
   
2. Double click on it will open property palette, Go to General section.
   
   • Click on Source Path icon, add the source paths of required JavaScript and CSS files.
     
   • Click on Source Content icon will open an editor. In the HTML tab, add the html elements where the chart will be rendered or if additional html elements are required. In the CSS tab, add the required styles for formatting of chart’s elements. In the JS tab, add the script configuration code and configure the events callback etc. required in this chart.
     
3. A variable bizvizchart as reference to the Custom-Chart object is available to use in the custom-script.
   
4. By using bizvizchart reference, we can access the data and other properties of the custom-chart which are configured in the property palette.
   
5. Example: bizvizchart.getData(), bizvizchart.getFields(), bizvizchart.getWidth(), bizvizchart.getHeight().
   

This videos explains how one can do sentiment analysis using Neural Network through BDB Predictive workbench.





This video explains BDB Predictive Workbench on Python. 




This video explains Response Modeling/Credit Scoring/Credit Rating using Machine Learning Techniques on German Credit Data.



The video shows creation of recommendation engine model using predictive workbench.




This video shows how to create Forecast Model in BDB Neural Network Work space.



This video shows how to create RNN Model in the BDB Neural Network Work space.

Following is a playlist of how to create a data store and create a Business Story using the store. 



Following playlist is for exploring supporting features and enhancing the business story using various available options.

NLP upgrades further in BDB 3.6 version & it's AI Enabled Search which gives Visualisation on the fly. It further encompasses all software which interprets or produces human language, in either spoken or written form. BDB’s NLQ helps Business Users or Self Service BI Users to extract pearls of wisdom hidden in a large volume of data through the power of Elastic Search, Machine Learning, and core Algorithms. It has the capability to add “Synonyms” and make user query a child’s play. NLP applications can combine different aspects of NLP.  

For example, speech-to-speech applications, such as Apple’s Siri and other intelligent personal assistants, use BDB NLP/NLQ. Please see our Video on NLP on Mobile to see its integration with Apple Siri and other voice platforms.



This video shows How NLQ (Natural Language Query) Works in BDB Business Story

This video walks you through BDB's voice based billing. It is a custom solution which takes billing and generating invoice to the next level, by utilizing innovative AI based search to add units to cart in an intuitive manner.



Our analysts walk you through the latest natural language querying provided in BDB's self-service BI Tool. This comprehensive feature accelerates daily decision making for Business users by allowing them to ask questions about their data. Our NLP based AI driven voice assistance lets you drill deeper into your data and create a complete visual report without even using your fingers. Users can even customize the search to reflect jargon of their organization via adding 'Synonyms' to the data search library. BDB's NLP service is available on iOS, Android, and the web allowing you to connect to your data from anywhere.



This is an introductory video on how to use NLQ in BDB Mobile App. 

This is an end to end walk- through of Predictive Module.

These videos demonstrates Data transform and merge features, job scheduling , navigation, importing data , profiling, filtering and transforms. 

*NOTE: Skip to Timestamp- 23:14 for ETL & Data Preparation