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Validation of Salesforce Objects, Uploads and Updates

Salesforce is a cloud-based CRM platform that helps businesses manage and analyze customer interactions and data throughout the customer lifecycle. It is used to store and organize information about customers, such as their contact details, communication history, and preferences....
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Datagaps Data Validation and Migration To Snowflake

This article describes ways in which we can test the data movement between Snowflake and on-premises data and between instances of Snowflake itself. We will also provide some benchmarks for doing comparison testing for large volumes of data moved into Snowflake....
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Validation Of Complex and Hierarchical JSON and XML files

While most google searches for “JSON Validation” led to validation tools and articles that focus on structure, a severely under-looked topic is about validating the data within these complex files. The same applies to XML files....
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Cloud Data Migration Challenges: How to Validate ETL, Data & Analytics Before Cutover

We’ve recently seen an uptick in data validation inquiries with Cloud Data Migration projects. Obviously, this is driven by the undeniable success and cost savings associated with moving to the Cloud. We are well past the Hype Cycle of the Trough of Disillusionment as described by Gartner....
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ETL Validator for Data Migration Testing

Recently, I stumbled upon a relatively old article on Data Migration from TDWI that explains what it is, how it is different from other integration patterns, popular techniques and the typical challenges associated with this pattern....
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Power BI Bookmarks: Development, Configuration, and Testing Best Practices

Tableau, Power BI, OBIEE, Cognos, Qlikview, Looker, Micro Strategy, and other developing BI Visualization technologies have pushed business intelligence reporting to the next level in recent years. We mostly employed Excel and Web pages for reporting in the early years of this decade....
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Top 5 Must Haves In Your Data Testing Platform

No matter how many new features an application has, how clean the user interface is, or even how fast the content is delivered across the Internet, if the data is inaccurate on incomplete, the product will fail. A company that uses corrupt or incorrect data cannot function: errors will disrupt...
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Connecting to Mongo DB using Apache Drill in ETL Validator

Over the last few years, we have been working with a number of customers across various industries such as Life Sciences, Financial Services, Higher Education etc. While the problems related to data testing are similar across industries and JSON and flat files are very common,...
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Why ETL Validator when there is Python?

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What Are Data Quality Dimensions?

The Data Quality dimensions provide a way to categorize data validation rules and measure data quality. There are seven data quality dimensions that are commonly used to measure data quality....

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