Automated Data Testing

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Automated Data Testing What You Need to Know
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• You've decided to automate data testing for your
  business, but how do you choose which tools to
  use? We've broken down the process into four key
  areas Requirements, Methods, Tools, and Costs.
  Read on for a brief explanation of these four key
  areas. Then, determine which tools best fit your
  needs. And don't forget to check out our articles
  on other aspects of automated data testing.

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Requirements

• Before automating data tests, you must have clear
  and concise requirements. These requirements
  should cover nonfunctional as well as functional
  requirements. For example, you should check
  whether all supported file formats can be
  uploaded without losing data. The test data
  should also determine the types of files that can
  be uploaded without any problems. For example,
  suppose you want to upload a data file with two
  columns, a single header and no special
  characters.

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Methods

• There are many different ways to create test data
  for an application. The test data may be actual
  data from a previous operation or it may be
  artificial data generated specifically for the
  purpose of testing. In any case, it should be
  stored in a sequential format and be easily
  modify able. For example, you could use any text
  editor to add new data. If you need to make
  changes to the data, you can modify the code to
  update the test files.

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Tools

• There are many tools for automating data testing.
  These tools can perform a variety of tasks,
  including ETL (end-to-end) data transformation,
  loading, and data validation. These tools can be
  deployed on-premise or in the cloud and are
  designed to streamline data quality assurance
  processes. Users can perform queries on any data
  source, analyze data and metadata, transform
  data, snapshot data to aid data reconciliation,
  and generate reports and defect management
  tickets.

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Costs

• The cost of an automated testing tool is not the
  only expense to consider. In many cases,
  additional costs are required for customer
  support or ongoing training to use the tool.
  Additionally, costs can increase over time if the
  tool undergoes constant changes. These costs can
  be avoided if you use an appropriate architecture
  and write appropriate test cases. Additionally,
  hiring someone to perform automated testing can
  cost money, as you will need to hire someone to
  perform the work for you. Additional costs
  include recruiting and ramp-up time. If youre
  interested to read out about test data generation
  then visit the link.

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Implementation

• There are several key steps to implement
  automated data testing. First, define your goals
  for automated testing. Then, determine the scope
  and level of coverage of your tests. Then, select
  the automated test tool. Finally, execute your
  test automation scripts. The end result should be
  an automated test report with details of the
  tests. This process can be repeated as needed to
  maintain automation efficiency. Ultimately,
  implementing automated data testing will save you
  time and money.