Dragonfly doc updates

assets/other/training-company.csv

@@ -0,0 +1,11 @@
+company_id,company_name
+1,Brown-Nitzsche
+2,Green-Gleason
+3,Runolfsson and Sons
+4,"Schoen, Bashirian and Roob"
+5,Schmidt-Rohan
+6,Boehm-Mayert
+7,Ratke-McLaughlin
+8,Goldner Inc
+9,"Reichert, Parisian and Torphy"
+10,Monahan Group

assets/other/training-data.csv

@@ -37,24 +37,24 @@ id,first_name,last_name,email,job_title
 36,Lukas,Greenwood,[email protected],General Manager
 37,Sindee,Gotcliff,[email protected],Database Administrator
 38,Mersey,Aspin,[email protected],Database Administrator
-39,Alis,Baly,abaly12@salon.com,Database Administrator
+39,Alis,Baly,abaly12@dropbox.com,Database Administrator
 40,Ervin,Tann,[email protected],Acountant
 41,Glad,Formilli,[email protected],Acountant
 42,Guthry,De Stoop,[email protected],Acountant
 43,Alissa,Fearon,[email protected],Acountant
 44,Sibella,Preston,[email protected],Acountant
-45,Davidde,Scamaden,dscamaden18@bloglovin.com,Acountant
+45,Davidde,Scamaden,dscamaden18@dropbox.com,Acountant
 46,Keefe,Purdom,[email protected],Automation Specialist
 47,Ward,Leaman,[email protected],Automation Specialist
 48,Eberhard,Francesc,[email protected],Recruiter
-49,Denni,Laye,dlaye1c@wix.com,Account Executive
+49,Denni,Laye,dlaye1c@dropbox.com,Account Executive
 50,Filberto,Regi,[email protected],Account Executive
 51,Lamond,Acosta,[email protected],VP Sales
 52,Nance,Tween,[email protected],Assistant Manager
-53,Haily,Lesper,hlesper1g@t-online.de,Assistant Manager
+53,Haily,Lesper,hlesper1g@dropbox.com,Assistant Manager
 54,Gustavo,McPeck,[email protected],Assistant Manager
 55,Zack,Cauderlie,[email protected],Assistant Manager
-56,Sloan,Pinfold,spinfold1j@tinypic.com,Help Desk Operator
+56,Sloan,Pinfold,spinfold1j@dropbox.com,Help Desk Operator
 57,Dion,Feldfisher,[email protected],Help Desk Operator
 58,Franchot,Kelshaw,[email protected],Senior Quality Engineer
 59,Merla,Benallack,[email protected],Senior Quality Engineer
@@ -65,14 +65,14 @@ id,first_name,last_name,email,job_title
 64,Jsandye,Satchell,[email protected],Senior Editor
 65,Lauree,Vauls,[email protected],Senior Editor
 66,Troy,Raittie,[email protected],Product Manager
-67,Ertha,Doelle,edoelle1u@salon.com,Product Manager
+67,Ertha,Doelle,edoelle1u@dropbox.com,Product Manager
 68,Gracie,Vigours,[email protected],Product Manager
 69,Sallee,Disdel,[email protected],Help Desk Operator
 70,Way,Leet,[email protected],Information Systems Manager
 71,Sammy,Laughrey,[email protected],Information Systems Manager
 72,Kristina,Taffs,[email protected],Help Desk Operator
 73,Abe,MacGilmartin,[email protected],Help Desk Operator
-74,Yvonne,Marder,ymarder21@photobucket.com,Help Desk Operator
+74,Yvonne,Marder,ymarder21@dropbox.com,Help Desk Operator
 75,Rachel,Bulcock,[email protected],Help Desk Operator
 76,Jamey,Monelle,[email protected],Help Desk Operator
 77,Kyle,Orans,[email protected],Accounting Assistant
@@ -81,12 +81,12 @@ id,first_name,last_name,email,job_title
 80,Wallache,Surman,[email protected],Accounting Assistant
 81,Josiah,Legat,[email protected],Accounting Assistant
 82,Karla,Spykins,[email protected],Software Developer
-83,Georas,Nehls,gnehls2a@example.com,Software Developer
+83,Georas,Nehls,gnehls2a@dropbox.com,Software Developer
 84,Hewie,Tremmil,[email protected],Software Developer
 85,Cristobal,Broggini,[email protected],Project Manager
 86,Leilah,Parnaby,[email protected],Project Manager
 87,Mureil,Groger,[email protected],Legal Assistant
-88,Irwinn,Meehan,imeehan2f@cbslocal.com,Legal Assistant
+88,Irwinn,Meehan,imeehan2f@dropbox.com,Legal Assistant
 89,Rafferty,Goodings,[email protected],Legal Assistant
 90,Mathias,Matschoss,[email protected],Quality Engineer
 91,Anna-maria,Petrakov,[email protected],Account Representative
@@ -96,25 +96,25 @@ id,first_name,last_name,email,job_title
 95,Farand,Elfitt,[email protected],Accountant
 96,Earvin,Tash,[email protected],Accountant
 97,Jenilee,Fishly,[email protected],Research Assistant
-98,Beckie,Martinson,bmartinson2p@symantec.com,Research Assistant
+98,Beckie,Martinson,bmartinson2p@dropbox.com,Research Assistant
 99,Lilla,Kingsworth,[email protected],Research Assistant
 100,Kyla,Ferreri,[email protected],Marketing Assistant
 101,Eddy,Shuard,[email protected],Marketing Assistant
 102,Nels,Bembrick,[email protected],Marketing Assistant
 103,Marshal,Calverley,[email protected],Marketing Assistant
 104,Jacquenetta,Sparshott,[email protected],Marketing Assistant
 105,Wesley,Volett,[email protected],Software Test Engineer
-106,Hesther,Hamflett,hhamflett2x@usa.gov,Software Test Engineer
+106,Hesther,Hamflett,hhamflett2x@dropbox.com,Software Test Engineer
 107,Halli,Predohl,[email protected],Software Test Engineer
 108,Dominique,Wikey,[email protected],Software Test Engineer
 109,Basil,Ganning,[email protected],Software Test Engineer
 110,Berny,Duke,[email protected],Technical Writer
-111,Vinny,Sprowles,vsprowles32@csmonitor.com,Technical Writer
+111,Vinny,Sprowles,vsprowles32@dropbox.com,Technical Writer
 112,Aldrich,Jendricke,[email protected],Technical Writer
 113,Odessa,Horsley,[email protected],Technical Writer
 114,Tine,Guillond,[email protected],Technical Writer
 115,Mahala,Hamshar,[email protected],Computer Systems Analyst
-116,Matilde,Lemme,mlemme37@shinystat.com,Computer Systems Analyst
+116,Matilde,Lemme,mlemme37@dropbox.com,Computer Systems Analyst
 117,Kimberley,Tiffney,[email protected],Computer Systems Analyst
 118,Evie,Mostin,[email protected],Computer Systems Analyst
 119,Kristel,Warrell,[email protected],Computer Systems Analyst
@@ -123,8 +123,8 @@ id,first_name,last_name,email,job_title
 122,Esra,Brevetor,[email protected],Senior Quality Engineer
 123,Korney,Stych,[email protected],Senior Quality Engineer
 124,Bea,Dottridge,[email protected],Senior Quality Engineer
-125,Paton,Duggan,pduggan3g@example.com,Senior Quality Engineer
-126,Anthe,O'Cooney,aocooney3h@desdev.cn,Senior Quality Engineer
+125,Paton,Duggan,pduggan3g@dropbox.com,Senior Quality Engineer
+126,Anthe,O'Cooney,aocooney3h@dropbox.com,Senior Quality Engineer
 127,Gianina,Farrey,[email protected],Senior Quality Engineer
 128,Erina,Borton,[email protected],Sales Representative
 129,Yvon,Cutforth,[email protected],Sales Representative

assets/other/training-employee.csv

@@ -0,0 +1,21 @@
+employee_id,first_name,last_name,company_id
+1,Binni,Lindblom,2
+2,Aldric,Green,2
+3,Thaxter,Geale,2
+4,Dyanne,Scotchmore,2
+5,Gustavo,Fox,5
+6,Iago,Latour,5
+7,Hynda,Bertholin,7
+8,Gayelord,Mapes,7
+9,Miller,Bunner,7
+10,Coralyn,Durbyn,7
+11,Lonnie,Kield,8
+12,Sheree,Daines,8
+13,Nan,Eastby,8
+14,Benito,Yurocjhin,10
+15,Klarrisa,Ianne,10
+16,Marylynne,Docwra,10
+17,Armin,Mallabar,10
+18,Alexia,Athow,10
+19,Ava,Gullen,10
+20,Lyssa,Darlasson,10

docs/010-getting-started/020-data-ingestion.md

@@ -17,7 +17,7 @@ Ingesting data to CluedIn involves three basic steps: importing, mapping, and pr
 <iframe src="https://player.vimeo.com/video/843840937?badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479" frameborder="0" allow="autoplay; fullscreen; picture-in-picture" allowfullscreen title="Getting started with data ingestion in CluedIn"></iframe>
 </div>
 
-In this guide, you will learn how to import a file into CluedIn, create a mapping, process the data, and perform data searches.
+In this guide, you will learn how to import a file into CluedIn, create a mapping, process the data, and search for golden records.
 
 **File for practice:** <a href="../../../assets/other/training-data.csv" download>training-data.csv</a>
 
@@ -29,9 +29,9 @@ A CSV (comma-separated values) file format allows data to be saved in a tabular
 
 **To import a file**
 
-1. On the home page, in the **Integrations** section, select **Import From Files**.
+1. On the navigation pane, go to **Ingestion**, and then in the **Files** section, select **Add**.
 
-    ![import-a-file-1.png](../../assets/images/getting-started/data-ingestion/import-a-file-1.png)
+    ![files-add.png](../../assets/images/getting-started/data-ingestion/files-add.png)
 
 1. In the **Add Files** section, add the file. You may drag the file or select the file from the computer.
 
@@ -49,9 +49,7 @@ After you uploaded the file, you can view the data from the file as a table with
 
 **To view imported data**
 
-1. On the home page, in the **Integrations** section, select **View All Data Sources**.
-
-    Alternatively, on the navigation pane, go to **Integrations** > **Data Sources**.
+1. On the navigation pane, go to **Ingestion** > **Sources**.
 
 1. Find and expand the group that you created in the previous procedure.
 
@@ -89,11 +87,11 @@ Mapping is the process of creating a semantic layer for your data so that CluedI
 
 1. Select **Next**.
 
-1. In **Entity Type**, enter the name of a new entity type and select **Create**. An entity type is a specific business object within the organization. A well-named entity type is global and should not be changed (for example, Person, Organization, Car) across sources.
+1. In **Business Domain**, enter the name of a new business domain and select **Create**. A business domain is a specific business object within the organization. A well-named business domain is global and should not be changed (for example, Person, Organization, Car) across sources.
 
-    The **Entity Type Code** is created automatically; it is a string that represents the entity type in code (for example, in clues).
+    The **Business Domain Identifier** is created automatically; it is a string that represents the business domain in code (for example, in clues).
 
-1. In **Icon**, select the visual representation of the entity type.
+1. In **Icon**, select the visual representation of the business domain.
 
     ![create-mapping-3.png](../../assets/images/getting-started/data-ingestion/create-mapping-3.png)
 
@@ -103,7 +101,7 @@ Mapping is the process of creating a semantic layer for your data so that CluedI
 
     ![create-mapping-4.png](../../assets/images/getting-started/data-ingestion/create-mapping-4.png)
 
-1. In **Origin**, make sure that the selected field is appropriate for generating a unique identifier (Entity Origin Code) for each record.
+1. In **Primary Identifier**, review the field that was selected automatically for generating a unique identifier for each record.
 
     ![create-mapping-5.png](../../assets/images/getting-started/data-ingestion/create-mapping-5.png)
 
@@ -131,7 +129,7 @@ Processing turns your data into golden records that can be cleaned, deduplicated
 
 1. Select **Process**.
 
-1. Review information about records that will be processed. Pay attention to the **Origin Entity Code Status** and **Code Status** sections. If there are duplicates, they will be merged during processing.
+1. Review information about records that will be processed. Pay attention to the **Primary Identifier Status** section. If there are duplicates, they will be merged during processing.
 
     ![process-data-2.png](../../assets/images/getting-started/data-ingestion/process-data-2.png)
 

docs/010-getting-started/030-manual-data-cleaning.md

@@ -35,19 +35,21 @@ Finding the data that needs to be cleaned involves defining search filters and s
 
 1. In the search field, select the search icon. Then, select **Filter**.
 
-1. In the **Entity Types** dropdown list, select the entity type to filter the records.
+1. In the **Business Domains** dropdown list, select the business domain to filter the records.
 
     ![find-data-1.png](../../assets/images/getting-started/data-cleaning/find-data-1.png)
 
-    As a result, all records with the selected entity type are displayed on the page. By default, the search results are shown in the following columns: **Name**, **Entity Type**, and **Description**.
+    As a result, all records with the selected business domain are displayed on the page. By default, the search results are shown in the following columns: **Name**, **Business Domain**, and **Description**.
 
 1. To find the specific values that you want to fix, add the corresponding column to the list of search results:
 
     1. In the upper-right corner, select **Column Options**.
 
     1. Select **Add columns** > **Vocabulary**.
 
-    1. In the search field, enter the name of the vocabulary and start the search. In the search results, select the needed vocabulary key.
+    1. In the **Vocabulary Keys** section, expand the vocabulary that contains the needed vocabulary key, and then select the checkbox next to it.
+
+    1. Move the vocabulary key to the **Selected Vocabulary Keys** section using the arrow pointing to the right.
 
         ![find-data-2.png](../../assets/images/getting-started/data-cleaning/find-data-2.png)
 
@@ -71,7 +73,7 @@ After you have found the data that needs to be cleaned, create a clean project.
 
 **To create a clean project**
 
-1. In the upper-right corner of the search results page, select the ellipsis button, and then select **Clean**.
+1. In the upper-right corner of the search results page, open the three-dot menu, and then select **Clean**.
 
     ![create-a-clean-project-1.png](../../assets/images/getting-started/data-cleaning/create-a-clean-project-1.png)
 
@@ -101,7 +103,7 @@ After you have found the data that needs to be cleaned, create a clean project.
 
     ![modify-data-2.png](../../assets/images/getting-started/data-cleaning/modify-data-2.png)
 
-1. In the upper-right corner, select **Process**. In the confirmation dialog box, select **Skip stale data** and clear the **Enable rules auto generation** checkbox. Then, confirm that you want to process the data.
+1. In the upper-right corner, select **Process**. In the confirmation dialog box, select **Skip** and leave the **Enable automatic generation of data part rules** checkbox cleared. Then, confirm that you want to process the data.
 
     ![modify-data-3.png](../../assets/images/getting-started/data-cleaning/modify-data-3.png)
 

docs/010-getting-started/040-deduplication.md

@@ -25,35 +25,29 @@ In this guide, you will learn how to deduplicate the data that you have ingested
 
 ## Create deduplication project
 
-As a first step, you need to create a deduplication project that allows you to check for duplicates that belong to a certain entity type.
+As a first step, you need to create a deduplication project that allows you to check for duplicates that belong to a certain business domain.
 
 **To create a deduplication project**
 
 1. On the navigation pane, go to **Management**. Then, select **Deduplication**.
 
-    ![create-dedup-project-1.png](../../assets/images/getting-started/deduplication/create-dedup-project-1.png)
-
 1. Select **Create Deduplication Project**.
 
 1. On the **Create Deduplication Project** pane, do the following:
 
     1. Enter the name of the deduplication project.
 
-    1. Select the entity type that you want to use as a filter for all records.
+    1. Select the business domain that you want to use as a filter for all records.
 
         ![dedup-2.png](../../assets/images/getting-started/deduplication/dedup-2.png)
 
     1. In the lower-right corner, select **Create**.
 
-    You created the deduplication project.
-
-    ![dedup-3.png](../../assets/images/getting-started/deduplication/dedup-3.png)
-
-    Now, you can proceed to define the rules for checking duplicates within the selected entity type.
+    You created the deduplication project. Now, you can proceed to define the rules for checking duplicates within the selected business domain.
 
 ## Configure matching rule
 
-When creating a matching rule, you need to specify certain criteria. CluedIn uses these criteria to check for matching values among records belonging to the selected entity type.
+When creating a matching rule, you need to specify certain criteria. CluedIn uses these criteria to check for matching values among records belonging to the selected business domain.
 
 **To configure a matching rule**
 
@@ -87,8 +81,6 @@ When creating a matching rule, you need to specify certain criteria. CluedIn use
 
     The status of the deduplication project becomes **Ready to generate**.
 
-    ![dedup-7.png](../../assets/images/getting-started/deduplication/dedup-7.png)
-
 1. In the upper-right corner, select **Generate Results**. Then, confirm that you want to generate the results for the deduplication project.
 
     {:.important}
@@ -130,19 +122,14 @@ The process of fixing duplicates involves reviewing the values from duplicate re
 
     1. Review the group that will be merged and select **Next**.
 
-    1. Select an option to handle the data merging process if more recent data becomes available for the entity. Then, select **Confirm**.
+    1. Select an option to handle the data merging process if more recent data becomes available for the golden record. Then, select **Confirm**.
 
         ![dedup-12.png](../../assets/images/getting-started/deduplication/dedup-12.png)
 
-        {:.important}
-        The process of merging data may take some time.
-
-        After the process is completed, you will receive a notification. As a result, the duplicate records have been merged into one record.
-
-    You fixed the duplicate records.
+    The process of merging data may take some time. After the process is completed, you will receive a notification. As a result, the duplicate records have been merged into one record.
 
 {:.important}
-All changes to the data records in CluedIn are tracked. You can search for the needed data record and on the **Topology** pane, you can view the visual representation of the records that were merged through the deduplication process.
+All changes to golden records in CluedIn are tracked. You can search for the needed golden record and on the **Topology** pane, you can view the visual representation of the records that were merged through the deduplication process.
 
 ## Results & next steps