All About ETL Testing, Data Migration & Data Warehouse Testing

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What is BI Testing and the Importance of BI Report Testing

What Is BI Testing and the Importance of BI Report Testing Reports and dashboards are extensively used to make business decisions. These decisions later form the basis for the company’s growth and success. If BI reports are wrong, then decisions taken based on these reports will also be wrong. Inaccurate reports affect the organization’s credibility…

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What Are The Challenges Of A Data Factory

What Are The Challenges Of A Data Factory

What Are The Challenges Of A Data Factory DataOps Platform for Integrated Data Testing & Production Monitoring DataOps is a set of practices and tools used by Big Data teams to increase velocity, reliability, and quality of data analytics. It emphasizes communication, collaboration, integration, automation, measurement and cooperation between data scientists, analysts, data/ETL (extract, transform,…

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The Data Migration Process & the Potential Risks

The Data Migration Process & the Potential Risks

The Data Migration Process & the Potential Risks What is Data Migration? Data migration is the process of transferring data from one system to another system, known as the target system, using a variety of tools and techniques. Below are the different types of migrations which are encountered in different enterprises: Database Migration: This involves…

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QA Challenges in Data Integration Projects

QA Challenges in Data Integration Projects

QA Challenges in Data Integration Projects Download Whitepaper from here QA Challenges Data Integration Projects Quality Assurance (QA) is a very important component of any data-centric application project.  Projects such as data warehouse, data migration, ETL, Data Lakes and MDM are no exception. The Majority of these projects are the multi-year and multi-million dollar in nature…

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A Practical Guide for Data Centric Testing Automated ETL Testing-iCEDQ

A Practical Guide for Data Centric Testing: Automated ETL Testing

A Practical Guide for Data Centric Testing: Automated ETL Testing “Information is the oil of the 21st century, and analytics is the combustion engine”- Peter Sondergaard, Senior Vice President, Gartner Big Data and Business Intelligence are becoming an increasingly important source of statistical information which is used as a vital part of the critical decision-making…

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Migrating Database to Redshift, Snowflake, Azure DW and Test with iCEDQ

Migrating Database to Redshift, Snowflake, Azure DW and Test with iCEDQ

Migrating Database to Redshift, Snowflake, Azure DW and Test with iCEDQHow to Migrate to Redshift, Snowflake, Azure Data Warehouse and Test with iCEDQ Many companies are migrating database actively for multiple reasons  End of life (Ex. Netezza)  Database cannot handle big data  Companies moving the database to the cloud (ex. Redshift, Vertica, Snowflake, Azure, etc.)  In-house database maintenance…

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iCEDQ - Auditing & Monitoring Platform - Rules embedded in production jobs

iCEDQ your Gatekeeper for Data Issues

iCEDQ your Gatekeeper for Data Issues The Challenges: Today’s organizations have thousands of data integration (ETL) processes constantly moving silos of data from various operational and/or external data sources to downstream applications. Since the downstream system doesn’t have control over incoming data or the process, it can cause serious data issues due to: The quality of…

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