All About ETL Testing, Data Migration & Data Warehouse Testing

blog - iCEDQ
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, load) engineers, information technology (IT), and quality assurance/governance.…

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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

“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 process of all businesses. Bernard Marr, in his article titled…

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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

How 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 is becoming expensive   License Cost for on-premise install  The complexity of…

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