Search: remove-data-column

, analyzing, and displaying logs produced by akaBot Centers. 5 Redis Cache In-memory data structure store used

on top of Apache Lucene and released under an Apache license. It is Java-based and can ingest data as well as search and index document files in diverse formats. Logstash is a data collection engine

Centers. |5|Redis Cache|(% style="width:690px" %)In-memory data structure store used as a database, cache

and released under an Apache license. It is Java-based and can ingest data as well as search and index document files in diverse formats. 1. **Logstash** is a data collection engine that unifies data from multiple

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 records, DDL Rights are right to work with data base definition type… - After click “Apply”, you

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

to this schema, we select all access rights for specific data base in this scenario, - **Object** **Rights** are right to work with any records, **DDL** **Rights** are right to work with data base definition type

code : document.querySelectorAll(".breadcrumb-tree").forEach(el => { el.setAttribute('data-responsive', 'false'); if (el.parentElement.classList.contains('dropdown-menu

'; } }); document.querySelectorAll("#leftPanels > .xtree[data-responsive]").forEach(el => { el.setAttribute('data-responsive

> .xcontent #xwikicontent .akb-navigation { display: grid; grid-template-columns: 1fr 1fr 1fr; gap

, analyzing, and displaying logs produced by akaBot Centers. 5 Redis Cache In-memory data structure store used

license. It is Java-based and can ingest data as well as search and index document files in diverse formats. Logstash is a data collection engine that unifies data from multiple sources, offers database

, and displaying logs produced by akaBot Centers. |5|Redis Cache|(% style="width:690px" %)In-memory data structure

an Apache license. It is Java-based and can ingest data as well as search and index document files in diverse formats. 1. **Logstash** is a data collection engine that unifies data from multiple sources

and data type for each column Step 6: Click "Save" button Table of Content

on the line of "Form Field" Step 2: Input the field name on "Label" field and choose data type for field on "Data Type" field Step 3: (This step is optional) Turn on button "Required" to set require for field

column name and data type for each column ))) [[image:image-20221028164801-15.png||cursorshover="true

the field name on "Label" field and choose data type for field on "Data Type" field ))) [[image:image

the table name on "Label" field and choose data type is "Table". ))) [[image:image-20221028164141-11.png

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

fields by clicking button "Add field" or remove fields by unticking some fields. If staff doesn't

" button Note: Staff can not add, remove and configure fields after saving. So please check carefully

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

button "Add field" or remove fields by unticking some fields. [[image:image-20230213141833-4.png

" %) ((( **Step 5**: Click "Save" button ))) (% class="box warningmessage" %) ((( Note: Staff can not add, remove

After importing the document successfully and the data extraction process is successfully finished

, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you

Shortcuts When reviewing documents in akaBot Vision, there are multiple ways of moving between data fields

="wikigeneratedid" %) After importing the document successfully and the data extraction process is successfully

with this status in the “To review” tab in the user interface. [[image:image-20220420193327-1.png||data-xwiki

in each field that has been detected incorrectly [[image:image-20220420193327-2.png||data-xwiki-image

1. Create an Account Note: Although akaBot Vision currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any

customizable, so you can add/group/remove pipelines as needed. Table of Content

currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any structured document including receipts, purchase orders, shipping

-20220420182302-1.png||alt="image-20220420183141-4.png" data-xwiki-image-style-alignment="center"]] **Step 2

. This is supported for the majority of the connector catalog. 6. Data filters When you define an event for your trigger, you can add more specific filtering. With Data filters, you can configure triggers that match specific data patterns. This means fewer launches of your robot and not having to apply additional

mechanism. This is supported for the majority of the connector catalog. == **6. Data filters** == When you define an event for your trigger, you can add more specific filtering. With **Data filters**, you can configure triggers that match specific data patterns. This means fewer launches of your robot and not having

of the CSV file E.g: “C:\CSVFolder\clientList.csv” 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

Column Names (Checkbox)- Specifies if the first row in the CSV file should be considered a header row

” **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 of this activity

” * **Include Column Names (Checkbox)**- Specifies if the first row in the CSV file should be considered