Codoid’s ETL & Data Analytics testing services include source to target and data quality validations. An ETL tool Extracts the data from heterogeneous data sources (like relational databases, CSV, spreadsheets, etc.), Transforms the data (applying calculations, mapping data fields, etc.), and Loads it into a Data Warehouse system. You can then use various Business Intelligence (BI) tools to generate meaningful reports, dashboards, and visualizations
Support for Big Data is growing continually and exponentially. Most ETL tools now provide data integration solution for Big Data.
The primary objective of ETL testing is to identify and mitigate data quality issues and general errors that occur before processing of data for analytical reporting. ETL can pollute the entire system if it is done wrong.
Being industry experts in analytics testing, we have the acumen in performing activities ranging from Reviewing Data model right up to Data integrity and quality checks in the target system.
Our Testing Process
At Codoid, we understand the perils that your analytics reports can face. With the know-how of both proprietary and open-source tools, our Data Analytics & ETL testing services include,
Production Data Validation
It’s essential that your data warehouse is of maximum competitive advantage to your business. Our ETL Testing and Validation techniques ensure Production reconciliation so that your business information is correct, reliable and consistent.
Application Upgrade Testing
Technology changes every day. And your Data warehouse must adapt to the changes to be compliant, embrace new security & performance upgrades. Considerable effort in pre and post upgrade can be saved with our systematic testing approach towards migrating previous data into the new repository and the like.
Data correctness is a vital check to be performed during and post the data transformation process. Our automated testing procedure not only validates the end-to-end data but also outlines remediation to prevent future data corruption.
Testing for Data Completeness
Once the data is validated with the help of Validation testing, we verify that all the data is accurately loaded into the data warehouse by comparing validation counts, aggregates, and Spot checks between random Actual and Target data on a timely basis.
Metadata protects the Data quality. Our automated metadata testing procedure includes close check on Data type, Data length, Index /Constraint, etc.
Data Transformation Testing
Data transformation testing can get complicated at times since multiple SQL queries may need to be run to verify all transformation rules conform to the business rules. Our techniques ensure saving time on this tedious task.
Quality Testing/Reference & Syntax tests
Our data quality testing services help prevent syntax issues (dirty data), and errors caused due to incorrect reference types (data model). Data quality is affected due to bad data (Ex- invalid characters, invalid patterns, etc.) or Data model (Ex- data types, precision, Null, etc.)
Navigation/GUI testing is equally important to ensure all aspects of front-end reports are covered, and corrective measures are applied.
Consulting & Partnering
With increasing data complexity and advancement in technology, it’s imperative to incorporate and apply the right testing strategy. We partner with our clients to identify the best fit model.
We leave no stone unturned in our pursuit to offer the best class testing services spanning all parameters, leveraging high-end tools and automation testing.
Help speed time to market for your software product and systems. Proven testing methodologies that have helped thousands of our valuable clients scale up their operations.
Enables better savings and visible returns on your investment.
Our testing practice and ability to gain insight into your system assures you peace of mind and let you focus on your core business.
Our skilled experts with hands-on data-centric testing collaborate with clients to Strategize, Plan and execute, taking into account the business context and specific needs.
Data Analytics Testing