If you’re integrating and migrating data to a new system using an Extract, Transform, and Load (ETL) process, it’s important to be sure that your data quality is high. One of the best ways to do this is with ETL testing, which evaluates whether your data is complete, accurate, and...
Using TestGrid’s cross-browser testing capabilities, you can ensure your end users get the best user experience. While manual cross-browser testing requires time, TestGrid’s automated cross-browser testing allows you to build tests in a scriptless manner and have them run automatically across br...
Support for CI/CD enables you to develop and deliver your extract, transform, load (ETL) processes incrementally before you publish. Azure Data Factory provides for CI/CD of your data pipelines by using: Azure DevOps GitHub Note Continuous integration means automatically testing each change made ...
MySQL is an open source relational database management system (RDBMS) that’s used to store and manage data. Its reliability, performance, scalability, and ease of use make MySQL a popular choice for developers. In fact, you’ll find it at the heart of demanding, high-traffic applications ...
Performance Testing Database Testing Mobile Application Testing A/B testing. For a quick look at the most often performed tests on a typical web application, check out: =>180+ Sample Test Cases for Testing Web and Desktop Applications
To get a balanced view of your client’s performance, you need to combine both quantitative and qualitative KPIs. One will show you objective performance, while the others will give you deeper insight into why those numbers look the way they do. For example, if website traffic (quantitative...
In this article, we demonstrated how to use out-of-the-box expectations in Great Expectations to test your Pandas ETL data pipeline.Join Medium to read more stories like this!Reference [1] https://greatexpectations.io/ [2] Titanic Dataset. Author: Frank E. Harrell Jr., Thomas Cason. ...
Method 2: Manual ETL Process to Set up Oracle to Snowflake Integration In this method, you can convert your Oracle data to a CSV file using SQL plus and then transform it according to the compatibility. You then can stage the files in S3 and ultimately load them into Snowflake using the...
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The most prominent ETL tools to transfer data from Postgres to Kafka include: Airbyte Fivetran Stitch Matillion Talend Data Integration These tools help in extracting data from Postgres and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Kafka and other...