Salesforce Certified Data Architect Training

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Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Salesforce Certified Data Architect Training Course Overview

The Salesforce Certified Data Architect Training by Multisoft Systems is meticulously designed to equip professionals with essential skills in Salesforce data architecture and management. This comprehensive course covers core areas such as data modeling, integration, migration, governance, and best practices in managing complex Salesforce data environments. Participants will gain deep insights into designing robust data solutions and learn how to efficiently resolve intricate business challenges related to data integrity, quality, and security. Led by industry-certified trainers, the course emphasizes practical hands-on experience alongside theoretical knowledge. Participants will engage in real-world scenarios, interactive exercises, and case studies that reinforce understanding of Salesforce's sophisticated data architecture landscape. The curriculum aligns with Salesforce certification requirements, ensuring participants gain both the theoretical knowledge and practical expertise required to excel in the certification exam.

Upon completion, professionals will confidently manage complex Salesforce data ecosystems, optimize performance, and implement secure, scalable data solutions. Whether you are a Salesforce developer, administrator, or aspiring data architect, this training enhances your capabilities, setting you apart in a competitive job market. Join Multisoft Systems to become a recognized expert in Salesforce data architecture and boost your career prospects with an industry-recognized certification.

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Salesforce Certified Data Architect Training Course curriculum

Curriculum Designed by Experts

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The Salesforce Certified Data Architect Training by Multisoft Systems is meticulously designed to equip professionals with essential skills in Salesforce data architecture and management. This comprehensive course covers core areas such as data modeling, integration, migration, governance, and best practices in managing complex Salesforce data environments. Participants will gain deep insights into designing robust data solutions and learn how to efficiently resolve intricate business challenges related to data integrity, quality, and security. Led by industry-certified trainers, the course emphasizes practical hands-on experience alongside theoretical knowledge. Participants will engage in real-world scenarios, interactive exercises, and case studies that reinforce understanding of Salesforce's sophisticated data architecture landscape. The curriculum aligns with Salesforce certification requirements, ensuring participants gain both the theoretical knowledge and practical expertise required to excel in the certification exam.

Upon completion, professionals will confidently manage complex Salesforce data ecosystems, optimize performance, and implement secure, scalable data solutions. Whether you are a Salesforce developer, administrator, or aspiring data architect, this training enhances your capabilities, setting you apart in a competitive job market. Join Multisoft Systems to become a recognized expert in Salesforce data architecture and boost your career prospects with an industry-recognized certification.

  • Understand the principles of Salesforce data architecture, including object relationships, schema design, and data modeling techniques.
  • Learn effective strategies for seamless integration of external data sources into Salesforce, as well as secure and efficient data migration practices.
  • Implement robust data governance frameworks, ensuring data quality, compliance, security, and effective data lifecycle management.
  • Identify best practices to optimize data performance, enhance system efficiency, and troubleshoot common data-related issues.
  • Grasp Salesforce data security models, including encryption, data masking, permission sets, and regulatory compliance.

Course Prerequisite

  • Fundamental knowledge of Salesforce CRM functionality
  • Basic understanding of database concepts and data modeling
  • Familiarity with Salesforce administration or development

Course Target Audience

  • Salesforce Administrators
  • Salesforce Developers
  • Data Architects
  • Data Analysts
  • CRM Specialists
  • IT Consultants
  • Business Analysts
  • Enterprise Architects
  • Database Professionals
  • IT Managers

Course Content

  • Compare and contrast various techniques and considerations for designing a data model for the Customer 360 Platform. (for example, objects, fields & relationships, object features).
  • Given a scenario, recommend approaches and techniques to design a scalable data model that obeys the current security and sharing model.
  • Compare and contrast various techniques, approaches and considerations for capturing and managing business and technical metadata (for example, business dictionary, data lineage, taxonomy, data classification).
  • Compare and contrast the different reasons for implementing big objects versus standard/custom objects within a production instance, alongside the unique pros and cons of utilizing big objects in a Salesforce data model.
  • Given a customer scenario, recommend approaches and techniques to avoid data skew (record locking, sharing calculation issues, and excessive child to parent relationships).

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  • Compare and contrast the various techniques, approaches and considerations for implementing master data management (MDM) Solutions (for example, MDM implementation styles; harmonizing and consolidating data from multiple sources; establishing data survivorship rules, thresholds and weights; leveraging external reference data for enrichment; canonical modeling techniques, hierarchy management).
  • Given a customer scenario, recommend and use techniques for establishing a "golden record" or "system of truth" for the customer domain in a single org.
  • Given a customer scenario, recommend approaches and techniques for consolidating data attributes from multiple sources. Discuss criteria and methodology for picking the winning attributes.
  • Given a customer scenario, recommend appropriate approaches and techniques to capture and maintain customer reference and metadata to preserve traceability and establish a common context for business rules.

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  • Given a customer scenario, recommend appropriate combination of Salesforce license types to effectively leverage standard and custom objects to meet business needs.
  • Given a customer scenario, recommend techniques to ensure data is persisted in a consistent manner. 
  • Given a scenario with multiple systems of interaction, describe techniques to represent a single view of the customer on the Salesforce Platform.
  • Given a customer scenario, recommend a design to effectively consolidate and/or leverage data from multiple Salesforce instances.

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  • Given a customer scenario, recommend an approach for designing a General Data Protection Regulation (GDPR) compliant data model. Discuss the various options to identify, classify, and protect personal and sensitive information. 
  • Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program. 

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  • Given a customer scenario, design a data model that scales considering LDV and solution performance.
  • Given a customer scenario, recommend a data archiving and purging plan that is optimal for the customer's data storage management needs.
  • Given a customer scenario, decide when to use virtualized data and describe virtualized data options.

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  • Given a customer scenario, recommend appropriate techniques and methods for ensuring high data quality at load time. 
  • Compare and contrast various techniques for improving performance when migrating LDVs into Salesforce.
  • Compare and contrast various techniques and considerations for exporting data from Salesforce.

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Salesforce Certified Data Architect Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Salesforce Certified Data Architect Corporate Training

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Salesforce Certified Data Architect Training FAQ's

Salesforce professionals such as administrators, developers, data analysts, CRM specialists, and architects aiming for Data Architect certification should enroll.

Participants should have basic Salesforce knowledge, familiarity with CRM concepts, and foundational experience in database or IT management.

Yes, after completing the training, you'll receive an industry-recognized certification from Multisoft Systems.

Yes, the course includes hands-on practical exercises, case studies, and real-world projects.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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