Type 2 Slowly Changing Dimensions are used in the Data Warehouses for tracking changes to the data by preserving historical values. This is achieved by creating a new record in the dimension whenever a value in the set of key columns is modified and maint ...
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 ...
Data Testing Automation for Salesforce using ETL Validator
Over the last few years, the Salesforce platform has become an incredible force in the market for various reasons. Of course, the most obvious use case is for the CRM capabilities. In addition, many organizations have started using the power of the force ...
Database (Backend) Testing for Oracle R12 Upgrade
Oracle E-Business Suite (EBS) R12 is a significant new version with valuable new features and capabilities. Although there is an upgrade path from EBS 11i to R12, most companies reimplement R12 and migrate the data from their 11i instance. Reimplemen ...
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. Though the article i ...
ETL Validator for Testing Transactional Systems
Most of the use cases that we encounter are for DW scenarios. However, recently, we are also seeing many scenarios for testing transactional systems. This blog is to highlight on one such example. The customer offers a survey related product and the conf ...
Why ETL Validator when there is Python?
I am not sure if you ever wrote Python but it is one of the coolest language out there. Easy to learn, easy to write and do yeah, easy to read! Writing code in Python is something I enjoy when I want to get a break from my routine job of putting together ...
Difference between ETL and Database Testing
ETL testing applies to Data Warehouses or Data integration projects while Database Testing applies to any database holding data (typically transaction systems). Here are the high level tests done in each: ETL Testing : Primary goal is to check if the dat ...
Database Testing – Ensure acceptable variance in Data differences
At a recent event, one of the prospects at the attendees came over to our booth and asked me to demonstrate a use case that was kind of interesting. I got a similar request from another prospect recently and thought that it might be a good idea to bl ...