All About ETL Testing, Data Migration & Data Warehouse Testing

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DataOps Implementation Guide-iCEDQ

DataOps Implementation Guide

DataOps For Big Data, ETL, Data Migration, Business Intelligence ReportingDon’t be Siloed… Adopt DataOps 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…

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Migrating Database-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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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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AML Software Implementation & Production Monitoring with iCEDQ DataOps Platform-iCEDQ

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 as FATCA, trade restrictions, sanctions, and watch list. However, if…

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What Are The Challenges Of A Data Factory-iCEDQ

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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