#DataCloud

[mk-wizard]

Transformers Excerpts: Grandpa Bunny

Ratchet walks in and sees six seekerling younglings in the medbay around Cyclonus...

Ratchet: What the...? Cyclonus, what is this class doing here? Cyclonus: Huh? It's not a class. These are my seven grandchildren. Ratchet: Seven? I see six. *Cyclonus faces him revealing that he's holding a sparkling*... Oh. Cyclonus: Ratchet, meet my grandchildren Acidstorm, Novastorm, Sunstorm, Ramjet, Thrust, Raindrop and this is little Datacloud. Say hello, younglings. Kids: Hello, Dr. Ratchet. Datacloud: *looks at Ratchet curiously* Cyclonus: I did give notice that I would be watching my grandchildren today and you were fine with it. Ratchet: I didn't think you meant ALL the grandchild all at once from all four of your offspring! I thought you meant the kids from ONE. Cyclonus: They are all from one. Thundercracker specifically. Ratchet:... ALL of these are his?! Cyclonus: Mm-hmm. Ratchet:.... I suspect Thundercracker has some rabbit in him. Sunstorm: Hey, grandpa, is he really a doctor like you? Cyclonus: Yes, why? Sunstorm: Because he's fat. Aren't doctors supposed to be fit? Cyclonus: Sunstorm, that is not a kind a way to speak. Dr. Ratchet is fit, but he is built different from me and also no one looks the way they were when they were young. Ratchet: Thanks, Cyclonus... I think...!! Hey! Don't go through my drawers! Raindrop: *she opens one drawer* Ooh! Candy! I found candy! And goodies and stuff!

All the seekerlings gather around with Datacloud reaching...

Ratchet: Hey! Stop! That's mine! Datacloud: Me cake. Cyclonus: *his face becomes stern and he stomps the way a rabbit does to assert dominance making all the seekerlings freeze and look at him* Put those back. Now. *they obey and come back to him* Shame on all of you. You all know better than to take things that aren't yours and what did I tell you about spoiling your meals? Seekerlings: Sorry, grandpa. Cyclonus: Apologize to Dr. Ratchet. Those snacks belong to him. Seekerlings: *bow down* Sorry, Dr. Ratchet. Cyclonus: *eases* That's better. Now, let's go elsewhere. I think you've seen enough of the medbay. Ratchet: *watches him lead the way and they all walk single file nicely*... Whoa. I've never seen you like that before, Cyclonus. Cyclonus: You forget that I raised quadruplets.

[getoncrm]

Agentforce by GetOnCRM: AI + Salesforce in Slack Wins ₹15 Lakh at TDX 2025

Agentforce is a smart AI assistant that brings Salesforce CRM into Slack, letting teams access data, flows, and customer info using natural language. Built by GetOnCRM, it won the Best Use of Slack award at TDX 2025. It is revolutionizing the healthcare, retail, and finance industries with its real-time updates and secure integration with Data Cloud and Trust Layer.

[getoncrm-salesforce-insights]

From Code to TDX Champion: Agentforce in Slack

The rise of conversational AI in enterprise tools isn’t a concept anymore—it’s real, and it’s happening in Slack. At GetOnCRM, we took that idea and built something powerful: Agentforce, an intelligent Slack assistant powered by Salesforce services.

This wasn’t just an internal tool. It became a game-changer at Salesforce TDX 2025, where Agentforce earned the award for Best Use of Slack. Why? Because it connects Salesforce Data Cloud, Flows, Apex, and Slack SDK into one seamless experience. From checking customer profiles to viewing real-time updates—everything runs in Slack through natural conversation.

Agentforce is more than a demo. It's proof that AI-powered Salesforce integrations can simplify workflows, boost productivity, and scale across teams—whether in healthcare, finance, or retail. Built on the Atlas Reasoning Engine and secured by Salesforce’s Trust Layer, it delivers context-aware results without compromising compliance.

👉 Want to learn how we built it and what made Agentforce a ₹15 lakh TDX winner?

[salesforces-stuff]

Data Streams in Salesforce Data Cloud: Enhancing Real-Time Data Integration

​Salesforce Data Cloud's Data Streams feature enhances real-time data integration by allowing organizations to seamlessly connect and unify data from various sources. This capability enables businesses to create comprehensive customer profiles, leading to more personalized and effective customer interactions. By integrating disparate data streams, companies can gain deeper insights into customer behaviors and preferences, facilitating informed decision-making and improved customer engagement strategies. The implementation of Data Streams within Salesforce Data Cloud ensures that data remains current and accessible, supporting agile responses to market changes and customer needs. This integration ultimately drives operational efficiency and fosters stronger customer relationships.​ View More

[valuec]

https://kairaalexander.hashnode.dev/salesforce-data-cloud-what-it-is-and-how-it-works

[govindhtech]

How Einstein 1 And Data Cloud Enable AI-driven Results

The artificial intelligence capabilities of Einstein 1 have already generated a great deal of hype and development, which will be a significant emphasis of Dreamforce 2024. A corresponding focus has also been observed on the Data Cloud, which is the mechanism that combines data from many sources to enable this AI magic. However, precisely how do the two cooperate? Does Einstein 1 need to be enabled with Data Cloud?

Data Unification: Data Cloud as the Basis

Salesforce has made significant investments in Data Cloud over the last few years. As a result, it went from being a mid-tier customer data platform to the Leader position in the Gartner Magic Quadrant for 2023. Ultimately, it is clear that inside the Salesforce ecosystem, Cloudera Data Platform (CDP) offers the strongest basis for a complete data solution.

Data Cloud absorbs and unifies data from throughout the company to release data that has become imprisoned. Data can be included and connected to the Salesforce data model with more than 200 native connectors, such as those for AWS, Snowflake, and IBM Db2. As a result, it may be used for analytics, Customer 360 profiles, marketing campaigns, and sophisticated AI features.

To put it simply, you can do more with your data the better it is. This necessitates a careful examination of the data prior to Data Cloud ingestion: Do you possess the information points required for customization? Do the various data sources employ the same formats required for sophisticated analytics? Are you able to train the AI models with enough data?

Recall that your teams will still require proper usage of the data after it has been imported and mapped in Data Cloud. This could entail using a “two in a box” approach to work with a partner in order to quickly absorb and put those lessons into practice. On the other hand, it necessitates extensive training, change management, and a readiness to embrace the new instruments. Teams must have documentation such as a “Data Dictionary for Marketers” in order to completely comprehend the data points they are utilizing in their campaigns.

Improved AI tools are offered by Einstein 1 Studio

Once Data Cloud is operational, you can utilize Einstein 1 Studio, which houses Salesforce’s most advanced and potent AI tools.

Salesforce’s low-code platform for integrating AI throughout its product line is called Einstein 1 Studio, and it can only be accessed through Data Cloud. Salesforce is making significant investments in the Einstein 1 Studio roadmap, and with each new release, the features get better. As of early September 2024, when this article is written, Einstein 1 Studio is made up of three parts:

Prompt builder

Salesforce users may integrate these generative AI capabilities into any item, including contact records, by creating reusable AI prompts with the prompt builder. AI commands such as record summarization, enhanced analytics, and suggested offers and actions are triggered by these prompts.

Copilot builder

Salesforce copilots are artificial intelligence interfaces that are generative and based on natural language processing. They are designed to enhance customer experiences and increase productivity, both internally and externally. In addition to triggering actions and updates using Apex and Flow, Copilot Builder lets you personalize the built-in Copilot functions with prompt builder features like summarizations and AI-driven search.

Model builder

Businesses can utilize the standard large language models from Salesforce by utilizing the Bring Your Own Model (BYOM) option. If they want to employ the ideal AI model for their company, they can also integrate their own, such as SageMaker, OpenAI, or IBM Granite. Furthermore, a new model can be constructed using Model Builder and reliable Data Cloud data.

How can you determine which model produces the greatest outcomes? You can test and validate responses with the BYOM tool, and you should also take a look at this model comparison tool.

As Salesforce continues to make significant investments in this field, expect to see frequent updates and new features.

Salesforce AI features in the absence of Data Cloud

If you haven’t yet utilized Data Cloud or absorbed a significant amount of data, Salesforce nevertheless offers a range of artificial intelligence functionalities. These can be accessed using Tableau, Sales Cloud, Service Cloud, Marketing Cloud, and Commerce Cloud. These built-in AI features include suggestions for products, generative AI content, and case and call summary. The potential for AI outputs increases with the quality and coherence of the data.

This is a really useful feature, and you ought to utilize Salesforce’s AI capabilities in the following ways:

Optimization of campaigns

Marketing campaign subject lines and message copy can be created using Einstein Generative AI, and Einstein Copy Insights can even compare the suggested copy to past campaigns to estimate engagement rates. This feature extends beyond Marketing Cloud; depending on CRM record data, it may also suggest AI-generated copy for Sales Cloud messages.

Recommendations

Based on CRM data, product catalogs, and past behavior, Einstein Recommendations can be utilized across clouds to suggest goods, information, and engagement tactics. The recommendation could take many different forms, such as customized copy depending on the situation or a recommendation for a product that is the next best offer.

Search and self-service

Based on the query’s natural language processing, past interactions, and a variety of tool data points, Einstein Search offers customized search results. Based on Salesforce’s foundation of security and trust, Einstein Article Answers can enable self-service by promoting responses from a chosen knowledge base.

Advanced analytics

Although Tableau CRM (previously Einstein Analytics), a specialized analytics visualization and insights tool, is available from Salesforce, Salesforce itself has AI-based advanced analytics capabilities built in. Numerous reports and dashboards, such as Einstein Lead Scoring, sales summary, and marketing campaigns, emphasize these business-focused advanced analytics.

AI, Data, CRM, and Trust

Salesforce offers strong tools within the Salesforce ecosystem thanks to its focus on Einstein 1 as “CRM + AI + Data + Trust.” The only way to improve these tools is to use Data Cloud as the primary tool for activating, combining, and aggregating data. You should anticipate considerably more improvement from this in the future. The AI industry is changing at an astonishing rate, and Salesforce is still setting the standard with its investments and methods.

Einstein 1 pricing

Pricing for Einstein 1 is offered in two editions:

Einstein 1 for Sales:

Cost: $500 per month for each user

Features: Consists of all the features found in Sales Cloud Unlimited Edition plus Data Cloud, Sales Planning, Maps, Revenue Intelligence, Generative AI, Enablement, Slack, and Slack Sales Elevate.

Einstein 1 for Service:

Cost: $500 per month for each user

Features: All the features of Service Cloud Unlimited Edition plus Data Cloud, Digital Engagement, Feedback Management, Self-Service, Slack, and CRM Analytics are included. Generative AI is also included.

Remember that these are list rates, and that actual pricing may change based on things like the quantity of users, the features that are needed, and any deals that may have been worked out.

Read more on Govindhtech.com

[archiuppu]

SALESFORCE DATA CLOUD EMPOWERING THE SUCCESS ACTIVITY

[conscendotechnologies]

Unveiling The Potential Of Salesforce Data Cloud Empowering Data-Driven Decision-Making

In today’s dynamic business landscape, data reigns supreme as a strategic asset driving innovation and competitive advantage. Recognizing the pivotal role data plays in business success, Salesforce introduces Data Cloud — a revolutionary platform within its extensive suite of offerings. Let’s delve into the intricacies of Data Cloud and explore how it empowers organizations to harness the full potential of their data assets.

Understanding Data Cloud Data Cloud stands as a cornerstone of Salesforce’s comprehensive suite, serving as a robust data platform that aggregates and integrates vast volumes of external data from diverse sources. This platform equips businesses with invaluable insights, enabling them to enrich customer profiles, enhance targeting capabilities, and make informed decisions across various operational functions.

Key Features and Capabilities 1. Data Enrichment: Data Cloud facilitates the enrichment of existing customer data by seamlessly integrating external sources such as demographic information, firmographics, and social media profiles. This enriched data provides organizations with a holistic view of their customers, enabling personalized and targeted marketing efforts.

2. Audience Segmentation: With Data Cloud, businesses can segment their customer base more effectively based on diverse criteria including demographics, behavior, and preferences. These segmented audiences pave the way for tailored marketing campaigns, resulting in heightened engagement and conversion rates.

3. Predictive Analytics: Leveraging advanced analytics capabilities, Data Cloud empowers organizations to uncover valuable insights and trends concealed within their data repositories. By identifying patterns and predicting future outcomes, businesses can make proactive decisions and stay ahead of market trends.

4. Integration with Salesforce Products: Data Cloud seamlessly integrates with other Salesforce products such as Sales Cloud and Marketing Cloud, ensuring a unified view of customer data across the organization. This integration fosters consistency, accuracy, and collaboration between different teams.

Real-World Applications Data Cloud finds applications across various industries, including:

Marketing Optimization: Businesses leverage Data Cloud to gain deeper insights into their target audience, personalize marketing messages, and optimize campaign performance.

Sales Enablement: Sales teams utilize enriched customer data to identify high-value prospects, prioritize leads, and tailor sales pitches for maximum impact.

Customer Service Enhancement: Customer service teams harness Data Cloud to access comprehensive customer profiles, anticipate needs, and deliver personalized support experiences.

Conclusion In the fiercely competitive business landscape, data emerges as a strategic asset that drives growth, innovation, and competitive advantage. Salesforce’s Data Cloud empowers organizations to unlock the full potential of their data assets, enabling smarter decision-making, enhanced customer experiences, and sustainable business success.

Whether you’re striving to enrich customer profiles, segment audiences, or unlock valuable insights, Data Cloud offers a comprehensive solution to meet your data needs. Embrace the power of Data Cloud and embark on a journey of data-driven decision-making in today’s digital era. www.conscendo.io

[unifydata]

94% of businesses believe they can extract more value from their data. Discover how @Salesforce Data Cloud makes this easy, offering actionable insights that help businesses achieve their goals. Learn why Data Cloud is leading the #CDP field: https://unify.agency/what-is-salesforce-data-cloud/

[cybersecurityict]

Drilling Data Management Systems Market Navigates a New Era of Predictive Exploration

The Drilling data management systems market was valued at USD 3.7 billion in 2023 and is expected to reach USD 12.7 billion by 2032, growing at a CAGR of  14.79% from 2024-2032.

Drilling Data Management Systems Market is witnessing significant transformation as energy companies aim to optimize operational efficiency and make data-driven decisions. With the increasing complexity of drilling activities and demand for precision, these systems are becoming essential for tracking real-time performance, reducing downtime, and managing costs effectively.

U.S. Market Sees Rapid Adoption of Real-Time Data Solutions for Drilling Efficiency

Drilling Data Management Systems Market continues to evolve with the integration of cloud computing, IoT, and advanced analytics. As the industry shifts towards digital oilfields, organizations are investing in scalable and intelligent solutions that ensure safe, efficient, and environmentally compliant drilling operations.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6647 

Market Keyplayers:

Schlumberger – Petrel E&P Software Platform

Halliburton – DecisionSpace Well Engineering

Baker Hughes – JewelSuite Subsurface Modeling

Emerson – Paradigm Geolog

Kongsberg Digital – SiteCom

Pason Systems – DataHub

Weatherford – Centro Digital Well Delivery

CGG – GeoSoftware

PetroVue – PetroVue Analytics Platform

Katalyst Data Management – iGlass

Peloton – WellView

IDS – DrillNet

DataCloud – MinePortal

TDE Group – tde proNova

NOV – NOVOS

Market Analysis

The Drilling Data Management Systems Market is gaining traction due to the growing need for accurate data integration, performance monitoring, and regulatory compliance. As drilling operations become more data-intensive, the ability to consolidate and analyze vast volumes of data in real time is critical. North America, particularly the U.S., leads in adoption due to its extensive oil & gas activities and early implementation of digital infrastructure. Meanwhile, Europe is investing in sustainable drilling technologies, boosting the demand for data management platforms that support environmental goals.

Market Trends

Growing integration of AI and machine learning for predictive analytics

Rise in cloud-based platforms offering scalable and remote accessibility

Increased demand for real-time drilling data visualization

Expansion of edge computing for on-site data processing

Enhanced cybersecurity features to protect sensitive operational data

Adoption of mobile dashboards and automated reporting tools

Demand for interoperability between legacy systems and new platforms

Market Scope

The scope of the drilling data management systems market extends across upstream oil & gas sectors, where efficient data collection and analysis are pivotal. As energy exploration enters more challenging environments, these systems offer a critical edge.

Real-time data acquisition from drilling sites

Integration with IoT-enabled sensors and control systems

Predictive maintenance powered by historical data

Customizable dashboards and alert systems

Advanced compliance reporting to meet regulatory standards

Seamless collaboration across global drilling teams

Forecast Outlook

The future of the Drilling Data Management Systems Market looks promising as energy companies move towards full-scale digitization of operations. The increasing focus on sustainability, safety, and efficiency is expected to drive innovation in data management technologies. Adoption will be further propelled by the need to reduce costs, improve well integrity, and make smarter, faster drilling decisions. Both U.S. and European markets will remain instrumental in shaping this evolution through continuous investments in tech-driven exploration strategies.

Access Complete Report: https://www.snsinsider.com/reports/drilling-data-management-systems-market-6647 

Conclusion

As the global energy sector navigates a digital revolution, drilling data management systems have emerged as a cornerstone of modern oilfield operations. From the shale basins of Texas to the offshore rigs of the North Sea, these platforms empower organizations to transform raw data into actionable insights. With rising complexity and expectations, embracing intelligent data systems isn’t just a trend—it’s a competitive imperative for a safer, smarter, and more profitable drilling future.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Related Reports:

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Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[getoncrm]

Data transformation awaits! Salesforce Data Cloud is your key to more intelligent business insights and AI-driven success. Swipe through our carousel to see how!

[naveenkumar1234]

#Visualpath#SalesforceDataCloud Training Institute and gain hands-on experience through real-time projects. Learn from certified trainers with over a decade of industry expertise and develop practical skills to excel in Salesforce #DataCloud Course Online. Our comprehensive training is available worldwide, including in Hyderabad, the USA, UK, Canada, Dubai, Australia, and more. Book a free demo today Call +91-9989971070.

WhatsApp: https://www.whatsapp.com/catalog/919989971070

Visit our Blog: https://visualpathblogs.com/

Visit: https://www.visualpath.in/salesforce-data-cloud-training.html

#SalesforceDataCloud#DataCloud#Salesforce#SalesforceCRM#SalesforceInnovation#SalesforcePartners#SalesforceExperts#SalesforceSolutions#salesforcegrowth#salesforcecdp#datacloudintegration#salesforcedevelopers#salesforcemarketingcloud#SalesforceExperts#SalesforceEinstein#SalesforceSuccess#salesforcetransformation#salesforceecosystem#SalesforceIntegration

[ldsjf]

La pollution numérique : mythe ou réalité?

Lorsqu’on parle d’enjeux environnementaux, le premier réflexe de plusieurs est de mettre la faute sur l’industrie minière, la surconsommation ou encore le textile. Pourtant, l’industrie numérique a elle aussi un impact considérable sur la santé de notre planète. Dans notre société hyperconnectée, où téléviseurs, téléphones intelligents et ordinateurs, pour n’en nommer que quelques-uns, font partie intégrante de notre quotidien, serions-nous vraiment capables de nous en départir ? Si cette perspective semble peu réaliste, une prise de conscience des conséquences de nos usages d’appareils numériques est néanmoins essentielle pour réduire notre empreinte écologique.

Mais qu’est-ce que la pollution numérique ? Il s’agit d’un terme qui « désigne toutes les formes de pollution engendrées par le secteur informatique : émissions de gaz à effet de serre, contamination chimique, érosion de la biodiversité, production de déchets électroniques » (GreenPeace, 2024). Elle survient tout au long du cycle de vie des appareils numériques, de leur fabrication à leur usage, en passant par le stockage des données.

Une pollution bien ancrée dans nos habitudes

Notre utilisation quotidienne des appareils électroniques et de l’Internet a un impact significatif sur l’environnement. La pollution numérique comprend deux aspects : la production d’appareils électroniques et le fonctionnement du réseau Internet.

La production d’appareils électroniques nécessite des matériaux rares et coûteux à extraire, ce qui entraîne une pollution environnementale. Plus un appareil est grand et complexe, plus il a d’impact sur l’environnement. Cela inclut les combustibles fossiles, l’eau et les ressources, qu’elles soient naturelles ou humaines. Par exemple, produire un ordinateur nécessite 2,5 tonnes de matières premières et génère 350 kg de CO₂. Cela s’applique à tous vos appareils électroniques ! L’exploitation minière peut avoir des conséquences graves, comme en République démocratique du Congo, où elle finance la guerre civile, ou au Brésil, où elle pollue les rivières des Waimiri-Atroari. En Chine, l’exploitation minière engendre des rejets toxiques dans l’air, l’eau et les sols.

La production et l’utilisation quotidienne de matériel électronique ont un impact environnemental important, tout comme le stockage de données en ligne et les activités sur Internet. Les centres de données, qui hébergent ces données, fonctionnent souvent avec des énergies fossiles très consommatrices d’énergie. Regarder une seule vidéo TikTok peut augmenter les émissions de gaz à effet de serre. La lecture continue de vidéos sur le web, représentant 60 % du trafic, est responsable de 1 % des émissions mondiales.

Des solutions innovantes et accessibles

Face à ces défis, des solutions existent. Hydro-Québec se distingue en utilisant l’énergie renouvelable de ses barrages pour alimenter ses centres de données. Le Québec est ainsi un leader dans la transition numérique verte. En 2019, la province a d’ailleurs été nommée « Data Center Location of the Year » par les Datacloud Global Awards.

Pour le commun des mortels, le parcours ludique de 30 jours d’Ecoist Club sensibilise aux répercussions numériques. Il encourage des comportements respectueux de l’environnement et permet de mesurer son empreinte carbone. Certes, c’est simulateur en ligne qui génère lui aussi des gaz à effet de serre, mais il permet tout de même de prendre conscience de nos habitudes néfastes pour l’environnement.

Trucs et astuces pour réduire notre empreinte au quotidien

Il est aussi possible de diminuer notre pollution numérique grâce à de simples ajustements dans nos habitudes :

Préférer la messagerie instantanée aux courriels, qui consomment davantage d’énergie pour leur transmission et leur stockage.

Réduire la résolution des vidéos, ou les visionner sur un ordinateur plutôt que sur une télévision, qui est plus énergivore.

Utiliser le Wi-Fi ou une connexion filaire, moins gourmand en énergie que le réseau cellulaire.

Taper directement le nom des sites dans la barre d’adresse ou utiliser les favoris, afin de limiter le nombre de recherches sur les moteurs, qui émettent jusqu’à quatre fois plus de GES qu’un accès direct.

Limiter le stockage sur le cloud, en conservant uniquement les fichiers nécessaires sur des disques locaux ou externes.

Prolonger la durée de vie de nos appareils en les réparant plutôt qu’en les remplaçant, ou en optant pour des appareils de seconde main.

Changer nos habitudes

Pour plusieurs, la dépendance à la technologie est perçue comme un mal pour un bien. Dans un monde où les montres intelligentes, tablettes et autres gadgets sont omniprésents, se passer de cette hyperconnectivité semble difficile, voire impossible. Pourtant, mieux utiliser ces technologies ne signifie pas renoncer à leur confort, mais plutôt en faire un usage plus éclairé.

Avec des actions collectives et individuelles, nous pouvons transformer nos habitudes pour réduire notre empreinte écologique numérique. Chaque geste, aussi petit soit-il, contribue à protéger notre environnement. Dans une société où l’innovation technologique progresse à une vitesse fulgurante, il est temps d’adopter une approche tout aussi rapide pour minimiser son impact environnemental.

Bibliographie

Pollution numérique : Comment la réduire ? (s. d.). Greenpeace France. Consulté le 26 novembre 2024 à l’adresse https://www.greenpeace.fr/la-pollution-numerique/

Diminuer la pollution numérique, c’est possible. (s. d.). Hydro-Québec. Consulté le 26 novembre 2024 à l’adresse https://www.hydroquebec.com/a/decarboner.html

J.-F. C. (2020, janvier 7). Vérification faite : Le streaming, aussi polluant que tous les avions du monde? Le Soleil. Consulté le 26 novembre 2024 à l’adresse https://www.lesoleil.com/2020/01/08/verification-faite-le-streaming-aussi-polluant-que-tous-les-avions-du-monde-7acb2bf064ed0ba0d6b6bdb6b9e3f13d/

[certspots]

Salesforce Data Cloud Consultant Certification Dumps Questions#datacloud