Search: join-data-table

Automation of Fields Capture Custom Table Data Configure Automation Type for Pipeline Configure Fields for Data Extraction

[6] Customize Data Extract

Customizing Data Extract

* [[Automation of Fields>>path:/bin/view/akaBot%20Vision/Customizing%20Data%20Extract/Automation%20of%20Fields%20in%20akaBot%20Vision/]] * [[Capture Custom Table Data>>path:/bin/view/akaBot%20Vision

/Configure%20Automation%20Type%20for%20Pipeline%20/]] * [[Configure Fields for Data Extraction>>path:/bin

, data tables or other types of collections. (* for Mandatory) Properties Input Values (IEnumerable)*- Iterate through the data and process each piece of information individually. Able to input variable

it, the data of this activity will be shown in the log. Be careful, consider data security before using

" %) ((( RCA.Activities.Core.ForEach == **Description** == This activity allows you to loop through arrays, lists, data tables

) == **Properties** == **Input** * **Values (IEnumerable)***- Iterate through the data and process each piece

. E.g: [389861710] For Each < T > * **Public (Checkbox)** - If you check it, the data of this activity

documents to extract data. Staff can create a new learning model by following these below steps: Step 1

choose base model, staff will have to create form fields and table from scratch Step 5: Click "Save

. With the Form Fields, staff should label both "Label" and "Value" for each field if having enough data

, send the learning models to production and use them to run on actual documents to extract data. Staff

||cursorshover="true"]] * If staff doesn't choose base model, staff will have to create form fields and table

" for each field if having enough data in documents. This helps the model will extract data more exactly

Each Pipeline defines the structure of Data fields that akaBot Vision extracts. Description When editing this structure you have two options: Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data

[3] Configure Fields for Data Extraction

Customizing Data Extract

Configuring Fields for Data Extraction

="wikigeneratedid" id="HParagraph1" %) Each Pipeline defines the structure of Data fields that akaBot Vision

options: * Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data without any additional training

Table Tabs Well Data Include components used to collect data Hidden Container Data map Data grid Edit

the ability to collect user data UI components are divided into 5 main groups, based on their functions

to fill in. Then click Save when you are done. The below table describes frequently used configure

|((( * HTML element * Content * Columns * Field set * Panel * Table * Tabs * Well ))) |Data|Include components used to collect data|((( * Hidden * Container * Data map * Data grid * Edit grid * Tree ))) |Premium

provide users the ability to collect user data [[image:1695034818758-663.png||height="379" width="1014

I. About Data Service Data Service is a persistent data storage service that brings powerful no-code data modeling and storage capabilities to your Robotic Process Automation (RPA) projects. Data Service allows you to securely store and manage your business data within akaBot. Here's what you can do

[1] About Data Service

hỗ trợ khôi phục sau sự cố. Mô hình này bao gồm 02 Data Center: Primary Data Center và DR Data Center (ở trạng thái Inactive và sẽ được kích hoạt khi cần) Primary Data Center: Thành phần của Primary Data Center này bao gồm các máy chứa các thành phần sau: Thành phần Số lượng Mục đích akaBot Agent

Data Service

[1] About Data Service

== **I. About Data Service** == Data Service is a persistent data storage service that brings powerful no-code data modeling and storage capabilities to your Robotic Process Automation (RPA) projects. Data Service allows you to securely store and manage your business data within akaBot. Here's what you

. (* For Mandatory) Properties Misc Public (Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. Display Name (String) - The name

property. Values (IEnumberable)*- The data collections that you want akaBot to execute.

) == **Properties** == **Misc** * **Public (Checkbox)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. * **Display Name (String

that can be add in the expression property. * **Values (IEnumberable)***- The data collections that you

) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security

) == **Properties** == **Misc** * **Public (Checkbox)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. * **Display Name (String) **- The name

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(Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data

"]] (* for Mandatory) == **Properties** == **Misc** * **Public (Checkbox) **- If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. * **Display Name

-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content ))) {{toc depth="4" start="2

and structure your code better. E.g: [410342694] While Public (Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. Condition (Boolean

and structure your code better. E.g: [410342694] While * **Public (Checkbox)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. * **Condition

" %) ((( Table of Content ))) {{toc depth="4" start="2"/}} ))) #end {{/velocity}} )))