All About ETL Testing, Data Migration & Data Warehouse Testing

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AML Software Implementation & Production Monitoring with iCEDQ DataOps Platform

AML Software Implementation & Production Monitoring with iCEDQ DataOps Platform

AML Software Implementation & Production Monitoring with iCEDQ DataOps Platform iCEDQ accelerates AML software implementation and prevents false positive signals in AML operations. AML software is a downstream system that consumes data from multiple sources. AML software analyzes data based on compliance models.  This results in suspicious activity reports. Further, they also monitor data for regulations such…

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Auditing -The Missing Element in Data Management and Data Governance

Auditing -The Missing Element in Data Management and Data Governance

Auditing -The Missing Element in Data Management and Data Governance Perhaps the most astonishing fact, however, is that IT has been blind for so long to the need for monitoring and metering (Auditing) for data health, and yet this fundamental engineering concept.  For instance, Figure 1 illustrates a centrifugal steam engine governor. Figure 1: The…

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Data Migration Testing Techniques to Migrate Data Successfully-iCEDQ

Data Migration Testing Techniques to Migrate Data Successfully

Data Migration Testing Techniques to Migrate Data Successfully We discussed the potential risks involved with the data migration process in our last iCEDQ insight. As previously mentioned, data migration is an important process where data from one system is transferred to a new, target system. The threat of data loss, data corruption, extended downtime, and…

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DataOps Implementation Guide-iCEDQ

DataOps Implementation Guide

DataOps Implementation Guide DataOps For Big Data, ETL, Data Migration, Business Intelligence Reporting Data-centric projects are becoming both bigger in size and complexity, which makes execution that much more difficult.  This not only creates delays in project execution but also results in poor data quality.  More and more projects are facing: Longer time to Market…

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ETL Development vs. ETL Testing-iCEDQ

ETL Development & ETL Testing – a Pipeline for Data Warehouse Testing

ETL Development & ETL Testing – a Pipeline for Data Warehouse Testing ETL is a process of extracting (E), transforming (T) and loading (L) the data into the data warehouse or any other data-centric system. The process involved in developing these ETL processes is time consuming and usually follows the steps below: 1. Understand the…

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etl-testing-and-data-quality-governance-software-iCEDQ

ETL Testing and Data Quality Governance Software – The Missing Link

ETL Testing and Data Quality Governance Software – The Missing Link Data has become critical to the business. Hence, enterprises are investing time, money and resources in data-centric systems such as data warehouse, MDM, CRM & migration projects. However, all research done by independent agencies indicates that There is such a high failure/delays in implementations…

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ETL Testing Vs. Application Testing – The Fundamental Difference-iCEDQ

ETL Testing Vs. Application Testing – The Fundamental Difference

ETL Testing Vs. Application Testing – The Fundamental Difference At the core, quality is the measurement of deviation between what is expected vs. actual. In quality assurance practice, we implement a set of tests to measure this deviation. The extent of the deviation indicates the quality of the software. In any application testing, there are…

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Agile Data Warehouse Testing & Data Migration Testing

Agile Data Warehouse Testing & Data Migration Testing

Agile Data Warehouse Testing & Data Migration Testing Automate data warehouse etl testing and migration testing the agile way from Sandesh Gawande   Development of a data warehouse, ETL, data migration or conversion always faces an ever-decreasing timeline. These implementations can take years to complete and users are not ready to wait that long. The…

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