Search: remove-data-row

, 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

%20Row/">Add Data Row</a> <a href="/bin/view/Activities/Data%20Table/Activities/Build%20Data%20Table/">Build Data Row</a> <br> <a class="akb-more" href="/bin/view/Activities/Data

Column</a> <a href="/bin/view/Activities/Data%20Table/Activities/Add%20Data%20Row/">Add Data Row

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

code : body.space-Main #globalsearch { display: none; } body.space-Main #xdocFooter, body.space-Main .xcontent > hr, body.space-Main #hierarchy, body.space-Main .row.document-header { display: none !important; } body.space-Main #mainContentArea > div.xcontent > .row { margin: 0; } body.space-Main

This page details the Task (Job), Workflow, Queue, and Robot (Agent) data that Insights ingests

belongs to. Agent Id The row ID of the Agent that executed the job. Job Id The row ID

for job execution. Workflow ID The row ID of the workflow. OU ID The row ID of the organization

Insights data model

Insight data model

(Job),** **Workflow, Queue**, and **Robot (Agent)** data that Insights ingests. == **Task

" %)((( The row ID of the Agent that executed the job. ))) |(% style="width:242px" %)((( Job Id )))|(% style="width:890px" %)((( The row ID of the job event in the Center database ))) |(% style="width:242px

, 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

collectively referred to as the “Parties” or individually as a “Party”.“  Content” means any data, whether

to the akaBot Vision Solution with the purpose of processing them and extracting Parsed Data.  “Parsing Rule(s

algorithm what nature and kind of data the Client wants to pull out from the Processed Documents.  “Parsed

may remove Processed Documents, Content, Parsed Content and Accounts containing data that the Service

”.“  \\Content” means any data, whether personal or not, contained in the Processed Document sent by the Client

Parsed Data.  \\“Parsing Rule(s)” means the collection of simple instructions, standard or tailored

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

, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you can click "+" icon To delete a row, you can click "x" icon To add a new row at the end of the table

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

or remove rows in a table * To insert a row, you can click "+" icon * To delete a row, you can click "x

="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

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