Matching Pairs Data Validation TermsOnline version Test your knowledge with Data Validation Terminologies! by Amber Deremiah 1 Data Reliability 2 Data Security 3 Data Transformation 4 Data Integrity 5 Data Entry 6 Data Cleansing 7 Data Quality 8 Data Profiling If and how one accessess systems, tables, rows (records) and columns (fields). Degree to which data meets requirements Changes to data from one system and/or purpose to another. Maintaining accuracy and consistency of data Analyzing data to understand its quality The ability of data to be consistently accurate over time. Process of correcting or removing errors in data Process of putting information into an electronic medium. 1 Data Validation 2 Data Validation Plan 3 Data Analysis 4 Data Validation Rules 5 Data Scenarios Ensuring data accuracy Criteria used to validate data Data elements that differentiate the various situations in your model, and have the same composition as the intended 'live' data. Inspecting, cleansing, transforming, and modeling data to discover useful, informing conclusions and support decision making. Document outlining data validation approach 1 Test Suite 2 Test Case 3 Test Scenario 4 Test Result 5 Test Strategy 6 Test Plan 7 Test Step Document that describe the test design and how to perform testing The actual vs the expected result for any Test Step, Case or Suite. Document that defines the logical groupings or collection of test cases, across multiple scenarios. Describes how a feature or function should work and what to expect holistically. Document that covers the end-to-end functionality from an end-user perspective. Specific instructions to test a particular function or feature, denoting how to test and what to expect specifically Document that defines the test scope, objective, approach, and emphasis of a software testing initiative
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