INFOSYS CLOUD VALIDATION SOLUTION @ AZURE - Native Data Validation Automation Solution QA challenges in Cloud Data Modernization

01 02 03 04 05

Huge velocity Validation of Lack of data Ensuring data Ensuring data and varied legacy systems testing solutions integrity during accuracy variety of data data while to support new movement between moving to cloud technology - across numerous visualization Server less, Data technical layers layer and Pipelines, etc. backend system

Infosys Cloud Data Validation Solution

A best in class cloud native data validation automation solution that helps streamline and accelerate testing of / Data Analytics platforms. This is a UI-based automated and approach for accelerated data validation. Infosys Cloud Data Validation Solution

Benefits of Infosys Cloud Data Validation Solution Infosys solution helps in accelerated validation of Data Integration / Data Analytics platforms by bringing open Unified source technologies and Azure Services platform for All types of day-to-day together. It provides comprehensive all data validations can be performed technical approach for data validation validations under one umbrella. Standalone between source and target databases / scripts in any technology can be files like data quality checks, data easily invoked and integrated. reconciliation checks and data validation checks. Supports micro services Flexible to add new The solution is capable of validating data architecture. New features can features for use cases like: be built on any technology and can be integrated with the Easy to reconfigure the • Modernization of Legacy Data solution. underlying cloud Warehouse to Cloud Data components which can help Warehouse Better align to customer’s choice of • Application Modernization – Data customization cloud infrastructure modernization to Cloud Storage • New Data Lake hosted on Cloud Data validation time can be significantly brought down by • Migration of on-premise Data Lake to nearly 50%. Supports Improves Cloud and BI Reporting concurrent testing. productivity • Migration of dashboards to Cloud based platform Key solution components

Infosys Cloud Data Validation Solution is a native solution catering to the industry needs of data validations. Its core components and features for Azure are depicted below:

Native Components Process Hadoop Discover, Azure Kubernetes Service specific formats for understand the (For container orchestration) early validation nature and quality of the data sources Data sanity Databricks and decompression (Spark Cluster to process Big Data)

Relational Data Store Simulates Standardize (Application DB Server) positive and Test data generation MODULES Data conversion the format for negative test reconciliation Azure Virtual Network Data at attribute (Secure interaction between Azure level resources)

Integration with JIRA Azure Storage Account Data comparison (Binary Large Object Storage) and ALM Reconcile the Establish two-way source and target connection to data for straight and Azure Container Registry (Secure Container to store Docker update defect derived moves. images) details Solution features

Columnar and Pattern retrieval Row-based results Batch mode operations

• Results are available with a columnar • Comparison, conversion and • Distinct patterns of a column in target view, row view and a summarized view. compression can happen in a batch can be extracted and reconciled against User can choose the mode of the view mode in any desired combination. its counterpart in source. in the user specified path. Status can be monitored at runtime.

Eliminates the need for SQL Test data simulation Nested file validations syntactical knowledge

• Solution can simulate test data needed • User has provision to generate SQL • Solution can process complex files such for validations, considering both query automatically as Nested JSON, Nested XML etc. The negative and positive business rules namespaces in the XML file would be automatically triggered. THANK YOU

© 2020 Infosys Limited, Bengaluru, India. All Rights Reserved. Infosys believes the information in this document is accurate as of its publication date; such information is subject to change without notice. Infosys acknowledges the proprietary rights of other companies to the trademarks, product names and such other intellectual property rights mentioned in this document. Except as expressly permitted, neither this documentation nor any part of it may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, printing, photocopying, recording or otherwise, without the prior permission of Infosys Limited and/ or any named intellectual property rights holders under this document.