I was recently featured on the LambdaTest Experience (XP) Series podcast, discussing how AI and Machine Learning (AI/ML) can revolutionize data quality & ETL testing. My conversation with Kavya, Director of Product Marketing at LambdaTest, explored the challenges of traditional data testing and how AI/ML...
I was recently featured on th...
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In today's data-driven world, organizations rely on a complex ecosystem of data sources, transformations, and pipelines to generate valuable insights. But with this complexity comes a challenge: understanding the origin and flow of data. This is where data lineage comes in.In our ETL Testing series...
In today's data-driven world,...
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Have you ever been scrolling through social media and come across a post that seems completely out of place? Maybe it's a friend suddenly posting about skydiving (when they're terrified of heights) or an ad for a product you've never even considered. These unexpected occurrences...
Have you ever been scrolling ...
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In our previous articles of ETL Testing Series, we explored the different stages of ETL testing, emphasizing the importance of verifying data integrity throughout the transformation pipeline and various aspect of Data Quality Testing. Today, we'll delve deeper into a powerful tool for data...
In our previous articles of ...
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In today's data-driven world, the quality of information is paramount. Data quality testing ensures the accuracy, consistency, and completeness of data before it's used for analysis or decision-making. Imagine navigating a road trip with an unreliable map; flawed data can lead to similarly wrong turns....
In today's data-driven world,...
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As a tester, We need to ensure the accuracy and consistency of information flowing through the ETL pipeline. In previous article we explored Testing of Extraction process but In the heart of this process lies the transformation layer, where raw data gets sculpted into meaningful...
As a tester, We need to ensur...
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In this article, we will focus on testing of the first step of the ETL process: Extraction. We will explore what extraction is, different types of sources, how to test the extraction process, the support QA needs from developers or product teams, and best practices...
In this article, we will focus...
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Data integration is a critical process in any organization that deals with large volumes of data. Extract, Transform and Load (ETL) is a popular approach used in data integration, where data is first extracted from various sources, then loaded into a target system, and finally...
Data integration is a critical...
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