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Building Bots with Microsoft Bot Framework

You're reading from   Building Bots with Microsoft Bot Framework Creating intelligent conversational interfaces

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786463104
Length 424 pages
Edition 1st Edition
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Author (1):
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Kishore Gaddam Kishore Gaddam
Author Profile Icon Kishore Gaddam
Kishore Gaddam
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Table of Contents (10) Chapters Close

Preface 1. Setting up Microsoft Bot Framework Dev Environment FREE CHAPTER 2. Developing Your First Bot Using the Connector and Builder SDK 3. Developing WeatherBot Using Dialogs and LUIS 4. Natural Speech and Intent Processing Bot Using Microsoft Cognitive Services 5. Developing Bots Using LUIS Prompt Dialogs with State and Nearby Bot Using Custom APIs 6. Developing an IVR Bot for a Bank Using Advanced Microsoft Bot Framework Technologies 7. Intelligent Bots with Microsoft Bot Framework and Service Fabric 8. Developing Intelligent Facial Expression Identification Bot for IoT Using Azure and Power BI 9. Publishing a Bot to Skype, Slack, Facebook, and the GroupMe Channel

Storing the bot conversation (new account info) data in an Azure SQL database

We are maintaining the state or bot conversation of the user. For this, we will use an Azure SQL database. We save all the transactions that the user performs, such as registering a new user, credit card payments, checking their balance, and so on. These are the steps for storing the bot conversation in the Azure SQL database:

  1. In the Azure portal, create a new Azure SQL database. To see how to create a new SQL database in Azure, follow the steps shown at https://docs.microsoft.com/en-us/azure/sql-database/sql-database-create-databases.
  2. After the successful creation of a database in Azure, you have to create a table in it. For that, you have to open your SQL database in Visual Studio 2015.
  3. Next, create a table using the following commands:
    CREATE TABLE [dbo].[Accountant_Information] (
[Id] NVARCHAR (128...
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