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Glossary

The definitive list of essential terms and definitions for Data, DevOps, Engineering, and QA teams.

 

California Consumer Privacy Act (CCPA)

What is the California Consumer Privacy Act (CCPA)? The California Consumer Privacy...

 

California Privacy Rights Act (CPRA)

What is the California Privacy Rights Act? The California Privacy Rights Act...

 

CI/CD Pipeline

What is the CI/CD Pipeline? Continuous Integration (CI) and Continuous Delivery (CD)...

 

Continuous Compliance

What is Continuous Compliance? Continuous compliance is an approach that integrates compliance...

 

Continuous Delivery

What is Continuous Delivery? Continuous Delivery (CD) is a software development approach...

 

Continuous Integration

What is Continuous Integration? Continuous integration (CI) is a software development practice...

 

Data Anonymization

What is Data Anonymization? Data anonymization is the process of altering or...

 

Data De-identification

What is Data De-identification? Data de-identification is the process of removing or...

 

Data Governance

What is Data Governance? Data governance refers to the comprehensive framework for...

FAQ

How does Accelario help businesses with data management?

Accelario provides solutions for effective data management, including data masking, compliance with regulatory privacy requirements, and optimization of test environments to improve performance.

Why is data anonymization important in the software development lifecycle?

Data anonymization is critical in the SDLC to protect sensitive information and ensure compliance with data protection regulations, such as GDPR and CCPA. By anonymizing data used for testing and development, organizations can mitigate the risk of exposing personal information while still utilizing realistic datasets. This practice not only protects user privacy but also builds trust with customers and stakeholders.

 

How does database virtualization improve the SDLC process?

Database virtualization allows teams to create virtual copies of databases without the need for physical replication. This approach significantly reduces provisioning time and resource overhead, enabling developers to quickly access the data they need for testing and development. By utilizing virtualized environments, teams can accelerate their workflows, reduce costs, and maintain high quality in their software development efforts.

 

What types of data does Accelario support, and how does it impact testing?

Accelario supports structured, unstructured, and semi-structured data, allowing teams to handle various data formats seamlessly throughout the SDLC. This flexibility ensures that developers and testers can access the most appropriate data types for their specific needs, leading to more effective testing and improved software quality. By providing access to diverse datasets, Accelario empowers teams to conduct comprehensive testing that accurately reflects real-world scenarios.