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Glossary

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

 

Data Provisioning

What is Data Provisioning? Data provisioning plays a pivotal role in ensuring...

 

Data Refresh

What is Data Refresh? Data refresh refers to the process of updating...

 

Database Virtualization

What is Database Virtualization? Database virtualization is a technology that enables the...

 

DataOps (Data Operations)

What is DataOps (Data Operations)? DataOps—short for Data Operations—is a set of...

 

DevOps

What is DevOps? DevOps is a collaborative approach that combines software development...

 

General Data Protection Regulation (GDPR)

What is General Data Protection Regulation (GDPR)? The General Data Protection Regulation...

 

Health Insurance Portability and Accountability Act (HIPAA)

What is the Health Insurance Portability and Accountability Act (HIPAA)? The Health...

 

Personal Identifiable Information (PII)

What is Personal Identifiable Information (PII)? Personal Identifiable Information (PII) refers to...

 

Production Data

The information—such as user records, transactions, logs, and configurations—which is essential 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.