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sireesha ramisetti

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Data Architecture and Big Objects Design – Salesforce Course in Telugu

In enterprise Salesforce implementations, data is the foundation of everything—automation, analytics, integrations, and user experience. As organizations scale, managing large volumes of data efficiently becomes a major challenge. This is where Salesforce Data Architecture and Big Objects Design play a crucial role. In this blog, we explore how Salesforce data architecture works, when to use Big Objects, and why these concepts are essential topics in a Salesforce course.

What Is Salesforce Data Architecture?

Salesforce Data Architecture refers to how data is structured, stored, related, accessed, and secured within the Salesforce platform. A well-designed data architecture ensures that applications are scalable, performant, and easy to maintain over time.

Good data architecture helps organizations:

Handle growing data volumes efficiently

Maintain fast query and report performance

Ensure data accuracy and consistency

Support long-term business growth

Without proper planning, even powerful Salesforce features can fail under heavy data load.

Overview of Salesforce Data Model

Salesforce stores data in objects, which are similar to tables in a relational database.

Types of Objects in Salesforce

Standard Objects: Account, Contact, Lead, Opportunity, Case

Custom Objects: Created to meet specific business requirements

External Objects: Used to access external data via Salesforce Connect

Big Objects: Designed for extremely large datasets

Objects are connected using relationships such as Lookup and Master-Detail, forming a complete data model.

Why Proper Data Architecture Matters

Poor data architecture leads to serious issues such as:

Slow SOQL query performance

Storage limits being reached quickly

Inaccurate reports and dashboards

Difficult system maintenance

A well-planned architecture, on the other hand, provides:

Clean and normalized data

Optimized performance

Secure and controlled data access

Flexibility for future enhancements

This is especially critical in enterprise Salesforce environments.

Salesforce Data Modeling Best Practices

  1. Choosing Between Standard and Custom Objects

Before creating a custom object, always evaluate whether a standard object can meet the requirement. Standard objects come with built-in features, reporting support, and scalability benefits.

Custom objects should be created only when necessary.

  1. Designing Relationships Carefully

Salesforce supports two primary relationship types:

Master-Detail Relationship

Strong dependency between records

Supports roll-up summary fields

Child records inherit ownership and security

Lookup Relationship

Loosely coupled relationship

More flexible

Independent security and ownership

Choosing the wrong relationship can cause data loss or security issues.

  1. Field-Level Optimization

Avoid creating unnecessary fields. Too many fields can impact performance and usability.

Best practices include:

Making only essential fields mandatory

Using Field-Level Security to protect sensitive data

Avoiding duplicate or unused fields

What Are Big Objects in Salesforce?

Big Objects are special Salesforce objects designed to store and manage extremely large data volumes—up to billions of records. They are optimized for scale rather than frequent updates or real-time reporting.

Common Use Cases for Big Objects

Event and activity logs

IoT sensor data

Audit and compliance records

Historical transaction archives

Big Objects are ideal for long-term, read-heavy data storage.

When Should You Use Big Objects?

Big Objects are suitable when:

Data volume is very high

Records are rarely updated or deleted

Data is mostly accessed asynchronously

Long-term retention is required

They are not recommended for transactional data that requires frequent updates, complex reporting, or real-time UI access.

Key Big Objects Design Principles

  1. Index Design Is Mandatory

Every Big Object must have at least one custom index defined. Queries can only be performed using indexed fields.

A poor indexing strategy can make data retrieval inefficient or impossible.

  1. Data Access Patterns

Big Objects are primarily accessed through:

Asynchronous Apex

Batch processing

APIs

They are not designed for heavy UI interaction or standard Salesforce reports.

  1. SOQL Limitations

Big Objects come with several query restrictions:

WHERE clauses must use indexed fields

Limited support for joins and aggregations

No standard reporting support

These limitations must be considered during the design phase.

Big Objects vs Custom Objects
Feature Custom Objects Big Objects
Data Volume Limited by org limits Extremely large
CRUD Operations Full support Limited
Reporting Fully supported Very limited
Best Use Case Transactional data Historical / archive data
Real-World Enterprise Example

Consider a financial services company that generates millions of transaction logs daily. Regulatory requirements mandate storing this data for more than 10 years.

A common solution:

Recent transactions stored in Custom Objects

Older historical data archived in Big Objects

This approach ensures:

High system performance

Optimized storage usage

Regulatory compliance

What You Learn in a Salesforce Course

In a Salesforce course focused on Data Architecture and Big Objects, learners gain:

Strong data modeling fundamentals

Best practices for scalable Salesforce design

Hands-on experience with Big Objects

Enterprise-level architectural thinking

Interview-ready real-world scenarios

These skills are especially valuable for large-scale implementations.

Career Importance

Salesforce professionals with data architecture expertise are in high demand.

Common roles include:

Salesforce Administrator

Salesforce Consultant

Salesforce Solution Architect

Understanding Big Objects is a strong differentiator in enterprise Salesforce projects.

Conclusion

Data Architecture and Big Objects Design are critical for building scalable, high-performance Salesforce solutions. While good data modeling ensures system stability and usability, Big Objects help organizations manage massive data volumes efficiently. Mastering these concepts through a structured Salesforce course prepares professionals for complex, real-world challenges and long-term career growth in the Salesforce ecosystem.

https://courses.frontlinesedutech.com/salesforce-course-in-telugu-by-flm/

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