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Data Cloud consultant (Data 360) with real-world scenarios.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Management information systems.
- Cloud computing.
- Business--Data processing.
- Business.
- Big data.
- Physical Description:
- 1 online resource (1 video file (12 hr., 53 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Birmingham, United Kingdom] : Packt Publishing, 2026.
- Summary:
- In this 12-hour course, you will learn how to design and implement end-to-end Salesforce Data Cloud (Data 360) solutions using real-world enterprise scenarios. It provides a practical, hands-on approach to unifying customer data, building scalable data models, and enabling intelligent business insights. This course also helps you master advanced Data Cloud capabilities such as identity resolution, segmentation, activation, and AI-powered data processing. What I will be able to do after this course Design scalable data models in Salesforce Data Cloud Ingest and transform data from multiple enterprise sources Implement identity resolution for unified customer profiles Build segmentation and activation workflows for business use Apply RAG and Document AI for intelligent data processing Course Instructor(s) Ankit Jain is a Salesforce Architect with 11+ years of experience designing enterprise-grade Salesforce solutions for startups and Fortune 500 companies. He is an 11x Salesforce Certified professional and accredited expert specializing in Sales Cloud, Service Cloud, and CPQ. He is also a certified trainer focused on mentoring professionals and delivering impactful Salesforce education programs. Who is it for? This course is designed for data engineers, Salesforce developers, solution architects, and CRM professionals working with enterprise data platforms. It is best suited for learners with basic knowledge of databases, CRM systems, and cloud concepts who want to build advanced Customer 360 solutions using Salesforce Data Cloud.
- Notes:
- OCLC-licensed vendor bibliographic record.
- ISBN:
- 9781808495137
- OCLC:
- 1602840422
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