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Data conversion can also suffer from inexactitude, the result of converting between formats that are conceptually different. The WYSIWYG paradigm, extant in word processors and desktop publishing applications, versus the structural-descriptive paradigm, found in SGML , XML and many applications derived therefrom, like HTML and MathML , is one ...
Migration addresses the possible obsolescence of the data carrier, but does not address that certain technologies that use the data may be abandoned altogether, leaving migration useless. Time-consuming – migration is a continual process, which must be repeated every time a medium reaches obsolescence, for all data objects stored on a certain ...
If the data is being persisted in a modern database then Change Data Capture is a simple matter of permissions. Two techniques are in common use: Tracking changes using database triggers; Reading the transaction log as, or shortly after, it is written. If the data is not in a modern database, CDC becomes a programming challenge.
Test data are sets of inputs or information used to verify the correctness, performance, and reliability of software systems. Test data encompass various types, such as positive and negative scenarios, edge cases, and realistic user scenarios, and aims to exercise different aspects of the software to uncover bugs and validate its behavior.
Data warehousing procedures usually subdivide a big ETL process into smaller pieces running sequentially or in parallel. To keep track of data flows, it makes sense to tag each data row with "row_id", and tag each piece of the process with "run_id". In case of a failure, having these IDs help to roll back and rerun the failed piece.
Schema migration allows for fixing mistakes and adapting the data as requirements change. They are an essential part of software evolution, especially in agile environments (see below). Applying a schema migration to a production database is always a risk. Development and test databases tend to be smaller and cleaner.
Migrations can be written in SQL (database-specific syntax such as PL/SQL, T-SQL, etc is supported) or Java (for advanced data transformations or dealing with LOBs). It has a command-line client, a Java API (also works on Android ) for migrating the database on application startup, a Maven plugin, and a Gradle plugin.
Level Test Design (LTD): Detailing test cases and the expected results as well as test pass criteria. Level Test Case (LTC): Specifying the test data for use in running the test cases identified in the Level Test Design. Level Test Procedure (LTPr): Detailing how to run each test, including any set-up preconditions and the steps that need to be ...