iCEDQ – An Automation Testing Tool

Data Warehouse/ETL Testing

Data warehouse testing is a process of verifying data loaded in a data warehouse to ensure the data meets the business requirements. This is done by certifying data transformations, integrations, execution, and scheduling order of various data processes.

Extract, transform, and load (ETL) Testing is the process of verifying the combined data from multiple sources into a large, central repository called a data warehouse.

Conventional Testing tools are designed for UI-based applications, whereas a data warehouse testing tool is purposefully built for data-centric systems and designed to automate data warehouse testing and generating results. It is also used during the development phase of DWH.

iCEDQ

Integrity Check Engine For Data Quality (iCEDQ) is one of the tools used for data warehouse testing which aims to overcome some of the challenges associated with conventional methods of data warehouse testing, such as manual testing, time-consuming processes, and the potential for human error.

It is an Automation Platform with a rules-based auditing approach enabling organizations to automate various test strategies like ETL Testing, Data Migration Testing, Big Data Testing, BI Testing, and Production Data Monitoring.

It tests data transformation processes and ensures compliance with business rules in a Data Warehouse.

Qualities of iCEDQ

Let us see some of the traits where testing extends its uses.

Automation

It is a data testing and monitoring platform for all sizes of files and databases. It automates ETL Testing and helps maintain the sanctity of your data by making sure everything is valid.

Design

It is designed with a greater ability to identify any data issues in and across structured and semi-structured data.

Uniqueness

Testing And Monitoring:

Its unique in-memory engine with support for SQL, Apache Groovy, Java, and APIs allows organizations to implement end-to-end automation for Data Testing and Monitoring.

User Friendly Design:

This tool provides customers an easy way to set up an automated solution for end-to-end testing of their data-centric projects and it provides Email Support to its customers

Supported Platforms:

Mostly widely used by Enterprises and Business Users and used in platforms like Web apps and Windows. Does not support MAC, Android, and IOS.

Execution Speed:

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New Big Data Edition test 1.7 Billion rows in less than 2 minutes and Recon Rule with around 20 expressions for 1.7 billion rows in less than 30 minutes.

With a myriad of capabilities, iCEDQ seamlessly empowers users to automate data testing, ensuring versatility and reliability for diverse data-centric projects.

Features:

• Performance Metrics and Dashboard provides a comprehensive overview of system performance and visualizes key metrics for enhanced monitoring and analysis.
• Data Analysis, Test and data quality management ensures the accuracy, reliability, and effectiveness of data within a system.
• Testing approaches such as requirements-based testing and parameterized testing involve passing new parameter values during the execution of rules.
• Move and copy test cases and supports parallel execution.
• The Rule Wizard automatically generates a set of rules through a simple drag-and-drop feature, reducing user effort by almost 90%.
• Highly scalable in-memory engine to evaluate billions of records.
• Connect to Databases, Files, APIs, and BI Reports. Over 50 connectors are available.
• Enables DataOps by allowing integration with any Scheduling, GIT, or DevOps tool.
• Integration with enterprise products like Slack, Jira, ServiceNow, Alation, and Manta.
• Single Sign-On, Advanced RBAC, and Encryption features.
• Use the built-in Dashboard or enterprise reporting tools like Tableau, Power BI, and Qlik to generate reports for deeper insights.
• Deploy anywhere: On-Premises, AWS, Azure, or GCP.

Testing with iCEDQ:

ETL Testing:

There are few data validations and reconciliation the business data and validation can be done in ETL/Big data testing.

• ETL Reconciliation – Bridging the data integrity gap
• Source & Target Data Validation – Ensuring accuracy in the ETL pipeline
• Business Validation & Reconciliation – Aligning data with business rules

Migration Testing:

iCEDQ ensures accuracy by validating all data migrated from the legacy system to the new one.

Production Data Monitoring:

iCEDQ is mainly used for support projects to monitor after migrating to the PROD environment. It continuously monitors ETL jobs and notifies the data issues through a mail trigger.

Why iCEDQ?

Reduces project timeline by 33%, increases test coverage by 200%, and improves productivity by 70%.

In addition to its automation capabilities, iCEDQ offers unparalleled advantages, streamlining data testing processes, enhancing accuracy, and facilitating efficient management of diverse datasets. Moreover, the platform empowers users with comprehensive data quality insights, ensuring robust and reliable Data-Centric project outcomes.

Rule Types:

Users can create different types of rules in iCEDQ to automate the testing of their Data-Centric projects. Each rule performs a different type of test cases for the different datasets.

By leveraging iCEDQ, users can establish diverse rules, enabling testing automation for their Data-Centric projects. Tailoring each rule within the system to execute distinct test cases caters to the specific requirements of different datasets.

iCEDQ System Requirements

iCEDQ’s technical specifications and system requirements to determine if it’s compatible with the operating system and other software.

To successfully deploy iCEDQ, it is essential to consider its system requirements. Notably, the platform demands specific configurations and resources, ensuring optimal performance. Additionally, adherence to these requirements guarantees seamless integration, robust functionality, and efficient utilization of iCEDQ for comprehensive data testing and quality assurance.

iCEDQ Editions:

It Provides Standard and Server Editions.

Hence, iCEDQ is a powerful Data Mitigation and ETL/Data Warehouse Testing Automation Solution designed to give users total control over how they verify and compare data sets. With iCEDQ, they can build various types of tests or rules for data set validation and comparison.

Resources related to iCEDQ – https://icedq.com/resources