DATPROF Summer Academy of 2021

July 14, 2021

Hello test data enthusiast,

Welcome to our DATPROF Test Data Summer Acadamy of 2021. We’ll help you get through the slow summer time with some interesting feature reviews. Every few days we’ll introduce a new feature review and share some new interesting information. We are starting with the feature ‘Deterministic Data Masking’ within DATPROF Privacy.

Feature review 1: Deterministic data masking

As you may already know, earlier this year we added a new feature in DATPROF Privacy, called ‘Deterministic Masking’. With the help of this new feature you’re able to mask your data consistently over multiple systems. That was already possible, but with this feature translation tables aren’t needed anymore – which makes it even easier to do. Want to know how?

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tutorial how to mask test data

Static vs dynamic data masking

What do these methods look like, what are the characteristics, pros and cons?
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Data masking in Salesforce

Protect the customer data in your Salesforce sandboxes by masking these environments.
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Feature review 2: Multi-column correlated data replacement and generation

As part of the Test Data Provisioning framework, DATPROF Privacy remediates existing data content using data masking or data generation techniques. But what happens when you have a set of columns in a table that have related content, for instance town, county, state and zip code? It’s for this reason that we’ve developed our new Privacy generator feature “Value from multi-column seed file”. 

This technique allows you to match one or more columns in a table with corresponding columns in a pre-prepared .CSV file and will result in realistically related replacement or generated values in the row. processes. DATPROF is independent and uses its global partner network to bring these solutions to its customers around the world. DATPROF simplifies getting the right test data in the right place at the right time.

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what is test data

Data masking vs. Synthetic Data

What are the pros and cons of test data masking in relation to synthetic test data?
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Synthetic test data

Synthetic test data is ‘fake/dummy’ data that can be used for development and testing.
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Feature review 3: Synthetic Data Generator

As part of the Test Data Provisioning framework, DATPROF Privacy remediates existing data content using data masking techniques. But what happens when a new application module or functionality is being introduced and it needs new data content for unit testing?
What happens if a new or existing module needs to be

tested against a far larger volume of data than currently exists in any of the existing environments? It’s for this reason that the Privacy “Synthetic Data Generator” feature exists.

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Data Masking Project Plan

Synthetic test data

Synthetic test data is ‘fake/dummy’ data that can be used for development and testing.
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Masking project plan

masking plan is critical to a successful anonymization project and that’s what this document is designed to help you with.
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About DATPROF

Software specialist DATPROF was founded in 2009 and exclusively focuses upon the provision of test data management solutions. With a broad range of clients in both the public and private sector, DATPROF has an extensive track record in delivering a comprehensive software suite consisting of sensitive data discovery and remediation as well as delivering referentially intact subsets for use in the test, development and QA processes. DATPROF is independent and uses its global partner network to bring these solutions to its customers around the world. DATPROF simplifies getting the right test data in the right place at the right time.

Data Masking

DATPROF Privacy

Data Automation

DATPROF Runtime

Data Discovery

DATPROF Analyze