<?xml version="1.0" encoding="UTF-8" ?><!-- generator=Zoho Sites --><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><atom:link href="https://www.peoplewoo.com/blogs/tag/dataengineering/feed" rel="self" type="application/rss+xml"/><title>Peoplewoo - Blogs #DataEngineering</title><description>Peoplewoo - Blogs #DataEngineering</description><link>https://www.peoplewoo.com/blogs/tag/dataengineering</link><lastBuildDate>Fri, 10 Jul 2026 16:53:35 +0530</lastBuildDate><generator>http://zoho.com/sites/</generator><item><title><![CDATA[Mapping Data Streams To DLOs and DMOs In Data 360 | Peoplewoo Skills]]></title><link>https://www.peoplewoo.com/blogs/post/mapping-data-streams-to-dlos-and-dmos-in-data-360-peoplewoo-skills</link><description><![CDATA[<img align="left" hspace="5" src="https://www.peoplewoo.com/WhatsApp Image 2026-06-25 at 4.56.59 PM.jpeg"/>This guide explains how Salesforce Data Cloud connects raw customer data from different sources and combines it into a single, unified profile.]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_jjDxp8U2Q72HDuqMLmRfCA" data-element-type="section" class="zpsection "><style type="text/css"></style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_09ITXzcxSmOkk-D02TyA1Q" data-element-type="row" class="zprow zprow-container zpalign-items- zpjustify-content- " data-equal-column=""><style type="text/css"></style><div data-element-id="elm_ezBAGXyKS6yD60f-XEc5gA" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"></style><div data-element-id="elm_BjwDUaxu09ffZWxWiosv5w" data-element-type="iframe" class="zpelement zpelem-iframe "><style type="text/css"></style><div class="zpiframe-container zpiframe-align-center"><iframe class="zpiframe " src="https://www.youtube.com/embed/Q7Fst93sKeI?si=PqOsDy3EjfvyW4SF" width="560" height="315" align="center" allowfullscreen frameBorder="0" title="Mapping Data Streams to DLOs &amp; DMOs in Data 360"></iframe></div>
</div><div data-element-id="elm_F8hD-a3dQ5SeDc9Rl65V0g" data-element-type="text" class="zpelement zpelem-text "><style></style><div class="zptext zptext-align-center zptext-align-mobile-center zptext-align-tablet-center " data-editor="true"><h1 style="text-align:justify;"><span style="font-size:20px;">Raw Data to Customer 360</span></h1><div><h2 style="text-align:justify;"></h2><p style="text-align:justify;">Unlocking a true 360-degree view of your customer requires pulling data from various platforms into one centralized hub. In Salesforce Data Cloud, this architectural journey follows a seamless path from raw source data to a unified profile.</p><p style="text-align:justify;">Here is a quick, easy guide to understanding how your data moves through the cloud.</p><p style="text-align:justify;"><br/></p></div><h2 style="text-align:justify;"><span style="font-size:20px;">1. Connecting Data via Data Streams</span></h2><div><h2 style="text-align:justify;"></h2><p style="text-align:justify;">Every source system contains native assets known as Data<b></b>Source<b></b>Objects<b></b>(DSOs)—think of standard objects like Leads, Contacts, or Accounts. To bring this data into Data Cloud, you must establish a Data<b></b>Stream.</p><ul><li><p style="text-align:justify;"><b>Starter Bundles:</b> Salesforce provides pre-built bundles for Sales and Service Cloud, allowing you to install and connect standard objects instantly.</p></li><li><p style="text-align:justify;"><b>Custom Objects:</b> For unique data sitting outside of standard bundles, you can manually ingest them by selecting the &quot;All Objects&quot; option.</p></li></ul><h3 style="text-align:justify;"><br/></h3><h2 style="text-align:justify;"><span style="font-size:20px;">2. Categorizing Your Data</span></h2><p style="text-align:justify;">When data streams are configured, the data must be classified into one of three categories. These categories are vital for setting up rules around how data is handled later:</p><ul><li><p style="text-align:justify;"><b>Profile:</b> Contains Personal Identifiable Information (PII) like names, phone numbers, and addresses.</p></li><li><p style="text-align:justify;"><b>Engagement:</b> Tracks real-time or batch behavioral data, such as email opens, link clicks, or website visits.</p></li><li><p style="text-align:justify;"><b>Other:</b> Reserved for auxiliary data that does not fit into profile or engagement definitions.</p></li></ul><h3 style="text-align:justify;"><span style="font-size:20px;"><br/></span></h3><h3 style="text-align:justify;"><span style="font-size:20px;">3. From Data Lake Objects (DLO) to Data Model Objects (DMO)</span></h3><p style="text-align:justify;">Creating a data stream automatically generates a Data Lake Object (DLO). Think of a DLO as the physical container that holds your raw data.</p><p style="text-align:justify;">To make this raw data usable, you must map the DLO to a Data Model Object (DMO) within the standard Customer 360 model. While starter bundles map fields like <i>Contact Point Phone</i> or <i>Contact Point Email</i> automatically, custom data requires manual mapping to organize it correctly.</p><h3 style="text-align:justify;"><br/></h3><h2 style="text-align:justify;"><span style="font-size:20px;">4. Unifying Profiles with the Individual Object</span></h2><p style="text-align:justify;">A single customer might exist as a Lead in one Salesforce org, a Contact in another, and a subscriber in Marketing Cloud. To prevent duplicate profiles, Data Cloud maps all profile data to a core standard DMO called the Individual<b></b>Object.</p><p style="text-align:justify;">By linking various system IDs to a single Individual ID, Data Cloud resolves identities across multiple connected orgs, creating a singular, unified source of truth for your entire enterprise.</p></div><p></p><div style="text-align:justify;"><br/></div><p></p></div>
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