Data360 | Salesforce Trailblazer Community

How to delete Opportunity_Home stream in datacloud

I am trying to ingest opportunity object into data cloud but i saw that there is already a stream called Opportunity_Home whose status is needs activation ,when i tried to activate it im getting the error Error notification.

CDP: Unable to activate the data streams.

So i just went ahead and created a new data stream for opportunity which got automatically tagged to Opportunity_Home and deployed it successfully but the stream still remains the same with status needs activation.

I tried to delete the data stream but saw that there are mappings which i cant remove as You can’t delete a component deployed from a managed-package data kit.

I found that this particular stream came from a bundle in the SalesDK package what should i do i tried redeploying the package still nothing happened.

#Data Cloud #Data360 #Salesforce Developer

3 réponses

Tushar Jadav (Biztech IT Consultancy PVT LTD)
29 oct., 06:49
@Fahima V L

Review this:
https://help.salesforce.com/s/articleView?id=005389034&type=1

https://trailhead.salesforce.com/trailblazer-community/feed/0D54S00000PlIc7SAF

27 oct., 15:31

Data Kit deployment fails: “data lake object already exists in this org and is linked to a data stream”

Hi everyone,

I’m trying to deploy a Tableau Next dashboard from Production to a UAT sandbox using a Data Kit and change sets. The steps I followed:

Added the dashboard (with semantic model, workspace and visualizations) to a new Data Kit in Prod.
Created an outbound change set with the Data Kit components and their dependencies, then deployed it in UAT. I had to create two custom DMOs manually in UAT because they couldn’t be added to the change set.
Deployed the Data Kit in UAT.

The kit deployment fails with:

Deployment has failed due to user exception. Error: The BotDefinition_Home data lake object already exists in this org and is linked to a data stream. To deploy this data kit, rename the object in the source org or remove the conflicting object from the target org.

UAT already has its own CRM data streams (BotDefinition, User, Lead, Contact, Opportunity...). After removing BotDefinition_Home from the kit in UAT, I get the same error for User_Home, and so on.

Any idea how can I solve this issue ?

#Data Cloud #Tableau #Data360

1 réponse

Ibra Valio (Datasphere)
28 oct., 19:12
Hi Meriem, looks like the kit is trying to create DLOs that already exist in UAT. Since those are linked to active data streams, I wouldn't delete them. I'd try keeping the existing UAT streams and deploying only the dashboard dependencies that are missing. You may need to split the deployment into smaller kits to find the conflicts.

27 oct., 23:21

Salesfore Data cloud Kit

I am trying to create a Devops Data kit in my partial sandbox and trying to deploy it in Uat sandbox using change sets. The Data kit creation was successful and I also deployed it successfully in my Uat but when I try tk deploy the Data kit I got the below error.”Your organization's data cannot be pasted here. Only 160 characters are allowed.” I did the verify CRM connection multiple times and there are no issues around that but not sure why this is happening

#Data360

2 réponses

George Taylor (MicroSoft)
28 oct., 12:34
I’ve seen connection issues like this happen even when the CRM verification looks fine. Since you’re deploying from a partial sandbox to UAT, I’d double-check that the Data Stream is using the correct CRM connection in UAT and that it’s properly authenticated there. If everything looks good, try re-authenticating the connection and deploying again.

27 oct., 23:27

Data cloud Kit

I am trying to create a Devops Data kit in my partial sandbox and trying to deploy it in Uat sandbox using change sets. The Data kit creation was successful and I also deployed it successfully in my Uat but when I try to deploy the Data kit I got the below error.”The salesforce CRM is no longer authenticated. Verify and re authenticate the connection then deploy the Data stream.I did the verify CRM connection multiple times and there are no issues around that but not sure why this is happening.

#Data360

3 réponses

Vishal Soni (MIDCAI CONSULTING)
28 oct., 01:18
Hi @Kavyasri Dacharla

I’ve seen this error come up even when the CRM connection verifies fine. It usually isn’t really about authentication. Here’s what I’d check in the UAT org:
Connector permission set access. The “Data Cloud Salesforce Connector” permission set in UAT needs read access to every object and field in the data stream. If a field from your partial sandbox is missing or has no FLS in UAT, the deploy fails with this misleading auth error. This is the most common cause I’ve seen.
The deploying user. Deploy the data stream as a Data Cloud Admin. Ideally use the same user who set up the CRM connection in UAT.
The connection itself. In Data Cloud Setup > Salesforce CRM, try a full disconnect and reconnect of the home org rather than just verifying it. Then redeploy from Data Kits.
Deploy order. After the change set lands, deploy the data stream from the data kit inside Data Cloud. Pick the UAT CRM connection when it prompts you.

If it still fails after all that, raise a support case with the data kit name and the error.

28 oct., 10:30

Data Cloud Ingestion Category?

If am going to ingest Asset obj which category it should be included ...profile...engagement ,,,or other ?

#Data360

2 réponses

Umar Umar
28 oct., 10:38
I would put Asset under Other rather than Profile or Engagement, since it describes a product a customer owns rather than the customer themselves or a timed interaction with them. That is how I have approached similar catalog-type objects, and then I would link Asset back to the related Account or Individual so you can still segment on ownership. If your Asset rows are mainly tracking changes over time, I would double-check the event date field before forcing it into Engagement, because that category works best for interaction events.

13 oct., 04:01

Getting started with Salesforce Data Cloud (now Data 360)? Here’s the path I recommend.

I keep getting asked how to break into Data Cloud. Here’s what I’d do if I were starting today:

Learn the basics on Trailhead: https://trailhead.salesforce.com/en/search?keywords=data%20cloud
Get hands-on with a free Developer Edition org. It now includes Data Cloud: https://developer.salesforce.com/signup
Attend a Data Cloud workshop to build an end to end project: https://developer.salesforce.com/workshops/data-cloud-workshop
Get certified as a Data Cloud Consultant: https://trailhead.salesforce.com/credentials/datacloudconsultant

Data Cloud is still one of the most underinvested skills in the Salesforce ecosystem, and it’s the data foundation Agentforce runs on. Now is a good time to get in.

Questions? Drop them below.

#Salesforce #Data360 #Trailhead #DataBlazers

2 commentaires

Tolulope Adekoya
28 oct., 05:13
Thanks for the insight.

19 oct., 12:03

Trailhead「Create a Data Graph」の Challenge が Active ですが合格しません

Trailhead のモジュール「Data Graphs in Data 360」の単元「Create a Data Graph」で、ハンズオン Challenge に合格できず困っています。

■ 表示されるエラー

Challenge は Data Cloud ではまだ完了していません

Make sure the my_test_dg data graph is saved, built, and active. If the Last Run Status still shows 'Processing', wait a few more minutes.

■ データグラフの状態（Data Graphs の一覧）

・Data Graph Label / API Name：my_test_dg

・Primary DMO：Individual

・Data Space：default

・Status：Active

・Last Run Status：Success

・Type：Standard Data Graph

・Schedule：Weekly

・Record Count：1,467

■ データグラフの構成

・Individual（主 DMO）：Birth Date、Created Date、First Name、Last Name

・Contact Point Address（Individual の下）

・Account Contact（Contact Point Address の下）：Account、Contact Email、Last Activity Date

■ 実施したこと

・ブラウザのキャッシュクリア

・データグラフの再構築（Save and Build）

・データグラフを削除し、教材の手順通りに作り直し

・Challenge 欄の「起動」ボタンから開いた組織で作業していることを確認

・ステータスが Active / Success になり、処理中のアイコンが消えてから Challenge を確認

・Trailheadを言語設定を英語に変更し確認

■ 環境

・Data Cloud Playground（期限：2026/10/20 午前9:00 JST）

同じ現象に遭遇された方や、解決方法をご存じの方がいらっしゃいましたら、ご教示いただけますと幸いです。

よろしくお願いいたします。

Trailhead「Create a Data Graph」の Challenge が Active ですが合格しません

#Trailhead Challenges #Trailhead #Data Cloud #Data360 #Salesforce Developer #Salesforce_developer

1 réponse

Keiji Otsubo
20 oct., 07:35
@ikeda shintaro さん

同じエラーの投稿がありますね。バックエンドで何か障害が発生しているかもしれません。

https://trailhead.salesforce.com/trailblazer-community/feed/0D5KX00000pQR4V0AW

19 oct., 07:30

Regarding Data 360 workshops

Ingest, Harmonize, and Unify Data with Data 360 - SDC001 did anyone knows the order of attending data360 workshops after this ?

#Data360

6 réponses

Mohammed Shaan Hashim C M (Tenarai)
19 oct., 08:11

If you plan for workshop refer -
https://trailheadacademy.salesforce.com/classes/sdc101-discover-salesforce-data-cloud-fundamentals . This has all content required.

The one you mentioned is paid but there are some thats free for standard plans thats what am looking for

9 sept., 07:05

Which Salesforce skill do you think will be the most important for professionals in the next 2–3 years: Agentforce, Data 360, Apex/LWC, Integration, or something else? Why?

After many years of working with Salesforce, one change I’m seeing clearly is the shift from traditional CRM automation toward AI-driven, agent-based solutions.

With Agentforce, Data 360, Flow, Apex, and AI agents becoming more connected, I’d love to hear from the Trailblazer Community:

What Salesforce skill do you believe will be the most important for professionals over the next 2–3 years — Agentforce, Data 360, Apex/LWC, Integration, or something else?

And more importantly, why?

Looking forward to learning from your experiences and perspectives.

#Salesforce #TrailblazerCommunity #Agentforce #Data360 #Salesforce_developer #Salesforceadmins

4 réponses

Venkat Yadav (SFDCINDIA)
16 oct., 07:47
Thanks, @Vishal Soni, @Robbie Duncan, @Kundan Kumar Jha
for sharing your thoughts!

I agree that Data 360 is becoming an important skill, especially as Agentforce depends on accurate and trusted data.
At the same time, I feel Apex, Flow, LWC, and Integration will continue to play an important role in real-time projects.
Robbie also raised a good point about AI and context engineering. Knowing how to guide and evaluate AI agents will become increasingly valuable.

My view is that learning one technology is not enough anymore. Understanding how Data 360, Agentforce, and other Salesforce technologies work together will be the real advantage.

Thanks again for making this a valuable discussion!