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Data-Quality-Dimensions-25

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....
continuous-Data-Validation-06

How to Perform Continuous Data Validation?

In this session, Andrew Cardno, one of the adjunct faculty at TDWI talked about the importance of validating data from the whole to the part, which means that the metrics or total should be validated before reconciling the detailed data or drill-downs. For example, revenue totals by product...
Pitfall-of-Cloud-data-migration-24-1

Pitfalls of Cloud Data Migration

This statistic shows a grim picture of wasted effort. But to replace CapEx with OpEx cloud data migration and cloud migration, in general, is a popular solution. Enterprises are looking for ways to scale data storage, due to AI and ML and given the volume of data being generated and...
Automating-Big-Data-Testing-05-05

How Do You Automate Big Data Testing? Everything To Know

Big Data has passed the tipping point. It’s no longer a fringe interest being practiced by data scientists. The Big Data industry is currently on track to be worth $77 billion by 2023....
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Bookmarks Development and Testing

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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Slicers Testing in Power BI Report

One of our clients decided to change their reporting platform to Power BI and started rebuilding their reports. However, they had a large number of reports. The implementation process began with the planning of the development phase....
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DataOps Suite: Validate Rest API Response

DataFlow is a powerful application using which you can easily perform end-to-end automation of a data migration process. In DataFlow, there are different kinds of components to serve different purposes. One of them is the Code Component. It supports three kinds of languages....
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Testing Type 2 Slowly Changing Dimensions using ETL Validator

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 maintaining start and end date for...
Connecting-to-Mongo-DB-using-Apache-Drill-in-ETL-

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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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 platform to build and deploy custom...

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