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...
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....
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...
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,...
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...
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. Reimplementation can be a complex project...
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....
The customer offers a survey related product and the configuration/setup is driven primarily by database level configurations across many tables. They provide a means for customers to develop using a “Development” database, once everything looks good, ...
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...

Data Quality

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

Synthetic Data

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

ETL Testing

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

BI Validation

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.
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DataOps Suite

End-to-End Data Testing Automation

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ETL Validator

Automate your Data Reconciliation & ETL/ELT testing

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BI Validator

Automate functional regression & performance testing of BI reports

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DQ Monitor

Monitor quality of data being Ingested or at rest using DQ rules & AI

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Test Data Manager

Maintain data privacy by generating realistic synthetic data using AI

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