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Robotic Process Automation with Automation Anywhere

Robotic Process Automation with Automation Anywhere

By : Mahey
4.5 (2)
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Robotic Process Automation with Automation Anywhere

Robotic Process Automation with Automation Anywhere

4.5 (2)
By: Mahey

Overview of this book

With an increase in the number of organizations deploying RPA solutions, Robotic Process Automation (RPA) is quickly becoming the most desired skill set for both developers starting their career and seasoned professionals. This book will show you how to use Automation Anywhere A2019, one of the leading platforms used widely for RPA. Starting with an introduction to RPA and Automation Anywhere, the book will guide you through the registration, installation, and configuration of the Bot agent and Control Room. With the help of easy-to-follow instructions, you’ll build your first bot and discover how you can automate tasks with Excel, Word, emails, XML, and PDF files. You’ll learn from practical examples based on real-world business scenarios, and gain insights into building more robust and resilient bots, executing external scripts such as VBScripts and Python, and adding error handling routines. By the end of this RPA book, you’ll have developed the skills required to install and configure an RPA platform confidently and have a solid understanding of how to build complex and robust, yet performant, bots.
Table of Contents (20 chapters)
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Reading data from databases

Naturally, the next stage is to access the data from our database. In this section, you will learn how to execute a SQL Select statement to retrieve data. A Select statement is commonly used among most databases.

Before we move on to the next section, let's disable our actions from the previous section. To do this, just click on the three dots on line 2, select the Disable action, and then click on Save. This is designed to ensure that it doesn't interfere as we proceed with reading the data.

To read data, we will need to create a Record type variable to store each record. In the following walk-through, you will run an aggregated Select statement against the sample Microsoft Access database in the GitHub repository. This Access database has a table called tblSales, and the structure of the table is shown in the following screenshot:

Figure 15.20 – Access database – table structure

For this walk-through...

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