検索：output-data-table

, 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

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

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

if you want to public it. Remember to consider data security requirement before using it. Display name

with a specific url. Default value is False Output Output Browser (Browser) - Output of the activity with type = ‘Browser’. Not allow whitespace in the output’s name. Stores all the information regarding your browser

” **Misc** * **Public (Checkbox)** - Check if you want to public it. Remember to consider data security

value is False **Output** * **Output Browser (Browser) **- Output of the activity with type = ‘Browser’. Not allow whitespace in the output’s name. Stores all the information regarding your browser

runs silently to compute the following output scores Idea Score - expressed as % (from 0 to 100

; Degree to which the input data is structured; The upcoming process changes; Suitability: This score helps

of digitization; Degree to which the input data is structured. Readiness score: This score helps with determining

output scores * **Idea Score** - expressed as % (from 0 to 100% - the higher the better

the input data is structured; ** The upcoming process changes; * **Suitability: **This score helps

of digitization; ** Degree to which the input data is structured. * **Readiness score**: This score helps

transactions in the queue. File size limited to 256kb by default. No 7 Output Data JSON schema for the output data of all transactions in the queue. File size limited to 256kb by default. No 8 Analytics Data JSON schema for the output data of all transactions in the queue. File size limited to 256kb

to 256kb by default.|No| |7|Output Data|JSON schema for the output data of all transactions in the queue.| |File size limited to 256kb by default.|No| |8|Analytics Data|JSON schema for the output data of all

that you want to be processed by akaBot Agents. Queue items can store different types of data

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

environment variables by typing command echo %JAVA_HOME%, the output should be a path that point to jdk 11 ex

Account” (2) Enter data for Login tab including: Login Name, Password as bellowed, leave authentication

all access rights for specific data base in this scenario, - Object Rights are right to work with any

}} #if ($xcontext.action != 'export') (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content

by typing command **echo %JAVA_HOME%**, the output should be a path that point to jdk 11 ex: **C:\Program

-101.png]] * Enter data for Login tab including: Login Name, Password as bellowed, leave