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General / Introductory Q: What is flat file data validation? A: Flat file validation ensures that data stored in files like CSV, JSON, Parquet, Excel, or fixed-width/delimited formats is complete, accurate, and formatted correctly before being processed or loaded into target systems. Q: Why is validating flat files important in ETL and data pipelines? A: Flat files often act as staging or transfer formats in ETL pipelines. Errors in these files can cause downstream mismatches, data loss, or compliance failures. Q: What are the common types of flat files used in enterprises? A: Fixed-width, delimited (CSV/TSV), JSON, Parquet (columnar), and Excel (XLS/XLSX) are the most common flat file formats in data pipelines. Q: What are the challenges of validating flat file data compared to databases? A: Challenges include inconsistent delimiters, schema drift, nested JSON, Excel formatting quirks, and large file sizes. Process & Concepts Q: How do you validate the structure and format of flat files?  A: By checking column order, data types, delimiters, and encoding against expected schema definitions. Q: How do you validate schema definitions for flat files?  A: By comparing file headers (or predefined schema) with database table definitions or metadata repositories. Q: How do you handle header/footer rows in flat files during validation?  A: By excluding metadata rows and validating only the data content. Q: How do you validate JSON and nested data structures?  A: By parsing JSON hierarchies, validating keys, and comparing nested values to expected outputs. Q: How do you validate Parquet files used in big data pipelines?  A: By validating schema definitions and row-level values across columnar storage.
Q. How do you validate Excel files with multiple sheets and formats?  A: By validating sheet-by-sheet, handling merged cells, and mapping data ranges correctly. Q. How do you ensure completeness when loading flat files into databases or lakes?  A: By checking row counts, primary keys, and field-level data before and after load. Q: What methods exist for handling nulls, blanks, or special characters in flat files?  A: By defining validation rules to catch invalid or unexpected representations of nulls and special characters. Test Design & Execution Q: How do you design test cases for validating flat file data?  A: Define tests for schema checks, row counts, field-level accuracy, duplicate detection, and edge cases. Q: What scenarios should be tested for fixed-width vs. delimited files?  A: Fixed-width: field positions and padding; Delimited: delimiter consistency, escaping, and missing columns. Q: How do you validate data integrity between flat files and target databases?  A: By reconciling row counts, keys, and cell-level values between source files and loaded tables. Q: How do you handle duplicate or missing records in flat files?  A: By applying uniqueness rules and completeness checks before processing. Q: How do you validate incremental vs. full loads from flat files?  A: Incremental loads validate deltas; full loads validate complete data replacement. Q: How do you test performance and scalability for large flat files?  A: By validating parallel loads, partitioning large files, and measuring throughput. Automation & Tools Q: What tools support automated validation of flat files?  A: Purpose-built platforms (QuerySurge, RightData, DataGaps, Talend) and open-source frameworks. Q: How do you automate flat file-to-database validation?  A: By scheduling validation jobs and embedding them into ETL/ELT workflows. Q: How do you validate streaming/real-time ingestion of flat files into data lakes?  A: By validating events or micro-batches during ingestion before they are processed downstream. Q: Which tools provide prebuilt connectors for JSON, Parquet, and Excel validation?  A: Only specialized platforms; most open-source tools require custom parsing. Q: How do you integrate flat file validation into CI/CD or DataOps pipelines?  A: By embedding validations into Jenkins, GitLab, or Azure DevOps workflows. Compliance & Governance Q: How do you validate sensitive data in flat files?  A: By applying masking, encryption, and strict validation rules for PII/PHI.
Q: How do you generate audit trails for flat file validation?  A: By logging every test execution, result, and exception.
Q: What are best practices for flat file validation in regulated industries?  A: Automate validations, enforce governance, secure files, and document results for regulators.
Additional Questions Q: How do you parse and validate hierarchical or nested JSON structures?  A: By extracting nested elements, flattening as needed, and validating relationships across arrays and objects. Q: How do you reconcile Parquet files against relational database targets?  A: By validating Parquet schema and values against relational tables using batch or partitioned comparisons. Q: What are common data quality issues in flat files and how do you detect them?  A: Missing headers, incorrect delimiters, encoding mismatches, null handling, duplicates, schema drift. Q: How do you validate metadata (file size, row count, checksum) to ensure file integrity?  A: By comparing file-level metadata to expectations or control totals.

General / Introduction Q: What types of flat files does QuerySurge support? A: Flat files come in many formats, from simple delimited files to structured JSON and columnar Parquet. A comprehensive testing solution must handle them all. Q: Can QuerySurge validate flat files against relational databases, cloud data warehouses, big data lakes, and BI tools? A: Yes. Flat files are often staging sources before loading into databases, data warehouses, data lakes, or BI platforms, so validation across these targets is essential. Q: Why use QuerySurge instead of manual scripts for flat file validation? A: Manual scripts are error-prone, time-consuming, and lack reporting or compliance features. Capabilities & Features Q: How does QuerySurge handle schema validation for flat files (column order, data types, delimiters)? A: Schema mismatches are a common source of data errors when processing flat files. Q: Can QuerySurge parse and validate nested JSON structures? A: JSON often contains complex nested objects that are hard to validate with basic tools. Q: Does QuerySurge support Parquet file validation for big data pipelines? A: Parquet is widely used in data lakes and big data frameworks, requiring validation at scale. Q: Can QuerySurge validate Excel files with multiple sheets and formats? A: Excel is common for business data exchange but introduces complexity with sheets, merged cells, and formatting quirks. Q: How does QuerySurge check for completeness (row counts, missing records) when loading flat files? A: Completeness checks ensure no data is lost during ETL processes. Q: Can QuerySurge detect duplicates, nulls, and special character issues in flat files? A: Yes. These are common data quality issues in file-based data exchanges. Q: Does QuerySurge validate file-level metadata (size, checksum, row count)? A: Metadata checks ensure file integrity before ingestion. Automation & Workflow Q: How does QuerySurge automate flat file-to-database validation? A: By running automated comparisons between file contents and database targets after ETL jobs. Q: Can QuerySurge schedule recurring validations for incoming flat files? A: Yes. Many organizations receive files daily or hourly that must be validated. Q: Does QuerySurge support on-demand validation when new files arrive? A: On-demand validation is critical for ad-hoc or unexpected file arrivals. Q: How does QuerySurge integrate flat file validation into CI/CD or DataOps pipelines? A: Validation must fit into automated DevOps workflows for continuous quality gates. Q: Can QuerySurge provide automated reconciliation between flat files and multiple target systems? A: Enterprises often load files into more than one system, requiring multi-target validation. Performance & Scalability Q: How does QuerySurge handle very large flat files (gigabytes/terabytes)? A: Large file sizes require efficient parsing and distributed validation. Q: Can QuerySurge run validations in parallel for multiple files? A: Enterprises often need to validate multiple feeds at once. Q: How fast is QuerySurge when validating Parquet files against data warehouses? A: Speed depends on parallelism and efficient data comparisons. Compliance & Reporting Q: Does QuerySurge generate audit trails for flat file validations? A: Audit trails are critical in regulated industries to prove testing occurred. Q: Can QuerySurge produce compliance-ready reports for regulated industries (finance, healthcare, government)? A: Yes. Reports must be regulator-ready and demonstrate validation coverage. Q: How does QuerySurge secure sensitive flat file data during validation? A: Security requires encryption, controlled access, and governance. Competitive & ROI Q: How does QuerySurge compare to custom Python/SQL scripts for flat file validation? A: Scripts lack scalability, automation, dashboards, and compliance reporting. Q: Why choose QuerySurge over competitors like Talend, Tricentis, Informatica, RightData, iCEDQ, or DataGaps for flat file testing? A: Competitors often require more manual setup, cover fewer file types, or lack BI/reporting coverage. Q: What ROI do enterprises see from automating flat file validation with QuerySurge? A: Automation reduces manual testing effort, accelerates releases, and prevents costly data issues.

Q: How is setup done for Source/Target? A: QuerySurge has a Connection Wizard in the Administrative view to take you through the process of setting up connections to your Source and Target data sources. Q: QuerySurge Agents — what are they? Where are they deployed in the environment? A: The QuerySurge Agent is the component of the architecture that actually executes queries against Source and Target data sources, returning the results to QuerySurge. Agents are deployed in a hub-and-spoke relationship to the QuerySurge application server. Q: Are there any syntax limitations for writing QueryPairs? A: There are no syntax limitations. Any query syntax that you put in QuerySurge will be executed as-is. You may use all ANSI SQL syntax plus any custom syntax your database or data source supports. Q: Can I use my existing SQL queries in QuerySurge as QueryPairs? A: Absolutely — most testing groups already have SQL for their current testing process. This SQL can be either be used directly in QuerySurge or tweaked for QuerySurge to give you a jump-start in implementing your automated data testing effort. Q: Do I have to manually run my tests, or can I schedule them to run? A: You can schedule runs in QuerySurge either by creating a QuerySurge Scenario, which lets you schedule based on time, or you may use the QuerySurge execution API, which lets you schedule based on events external to QuerySurge. Q: Is there an API to support the kick-off of an execution run? A: Yes! The QuerySurge execution API lets you schedule based on events external to QuerySurge. The API is provided as a RESTful API that you can deploy in your environment and call into QuerySurge’s execution engine from external processes. The full DevOps for Data module also has 60+ other calls that allow you to do everything the QuerySurge interface allows you to do. Q: What is the typical learning curve for a new QuerySurge user? Are there education services available? A: QuerySurge provides a clean, intuitive workflow for all the major tasks, and our users find it easy to move their work into QuerySurge quickly. QuerySurge also provides a Knowledge Base of articles, self-paced training, free certification exams, and a built-in tutorial. Q: Do I need to know SQL to use QuerySurge? A: It does help, but QuerySurge offers lots of ways to generate tests without knowing SQL. QuerySurge AI, our generative artificial intelligence module, automatically creates data validation tests, including transformational tests, based on data mappings. Test creation happens in minutes, converting data mappings into tests written in the data store’s native SQL with little to no human intervention from this low-code or no-code solution. QuerySurge’s Query Wizard generates simple SQL queries for your straightforward tests, performing table-to-table, column-to-column, and row count compares. SQL knowledge will help you craft queries for your more complex tests. See our course offerings to jump-start your use of QuerySurge. Q: Does QuerySurge provide version control for the QueryPairs? A: QuerySurge retains history for your QueryPairs and your Suites. You can see all revisions on each QueryPair, who made the revision, and when it was performed. You can also generate reports on QueryPair and Suite history for project audit or other management purposes. Q: Can I share my reports with others? A: Absolutely. QuerySurge reports can be exported either in pdf format or in Excel format for either sharing with co-workers of for documentation purposes. Q: How is setup done for Source/Target? A: QuerySurge has a Connection Wizard in the Administrative view to take you through the process of setting up connections to your Source and Target data sources. Q: What else can I do with your API? A: QuerySurge’s DevOps for Data is our full API that brings DevOps automation to data testing . It enables faster, smarter validation at every stage of your pipeline with 100+ calls and live Swagger documentation.

Q: If I run into an issue with QuerySurge, how can I get help? A: Either visit our Knowledge Base & Community Forums (https://querysurge.zendesk.com/hc/en-us) or click on the Orange Button on the bottom left of our website! These are the quickest ways to get information or log a ticket within our system. Q: Does QuerySurge have offices outside of the United States? A: While the QuerySurge team is located in the U.S., we support customers globally. We also have built an extensive partner ecosystem that is located in every locale in the world. For information on our partners, please visit our Partner page here» Q: What can I do if I require another service not currently covered by traditional support? A: Customers, Alliance Partners, and prospective customers in Proofs-of-Concept (POC) often ask us for help with coding issues, short-term training, and other tasks not covered by our support services. QuerySurge’s Premium Services fulfill these needs. Premium Services provides: Assistance with coding in SQL, HQL, API calls, and functionsHow To sessions for using various functions and featuresJumpStart or Training sessionsAdministration, including installation, creating/modifying/deleting users & connections, installing updates, setting up server backups and moves And any other service not covered by traditional support.

Q: Can I get trained on QuerySurge? A: Sure! We have a full range of self-paced and instructor-led (in the cloud) training. We offer self-paced training courses, along with certifications and digital badges. Courses include Certified ETL Tester, QuerySurge Certified Practitioner​, Certified BI Tester, QuerySurge Certified Administrator, Certified DevOps for Data Tester, and Certified DevOps for Data Practitioner. Q: What are the options for training course delivery? A: We have 2 delivery options: Free self-paced trainingLive, instructor-led training in the Cloud (there is a cost for this item) Class size requirements apply. Q: Do you offer a formal certification for QuerySurge? A: Yes we do! Our professional certifications, along with digital badges from Credly, provide secure, verifiable evidence of skills and expertise that can be easily shared with your professional network. Learn about data validation and ETL Testing with self-paced training and certification guides through the QuerySurge Content and Training Portal, built on Moodle, the most trusted eLearning solution that empowers educators.Earn your digital badge from Credly, the leading platform for managing digital credentials, trusted by top companies like IBM, Oracle, Microsoft, and more.Inform your social network by posting your digital badge to LinkedIn, X (Formerly Twitter), Facebook, or sharing via email, website, or email signature. Self-paced training and certifications are free for customers and partners.

Q: What can I install on for a trial? A: You can install QuerySurge on most desktops or even laptops. Resources (memory, disk space) are important for QuerySurge! The more you have, the more you can do during your trial. Q: Which features are disabled in a trial? A: The features that are disabled in a 15-day trial are BI Tester, DevOps for Data, Import/Export, Ready for Analytics, and QuerySync. If you would like to try these features, BI Tester and DevOps for Data have their own downloads and all are available in a Proof-of-Concept. See all variations of trials here» Q: Do I need to install QuerySurge in my own environment to try it? A: Nope! You can try QuerySurge in a Hosted Cloud Trial – our environment and our data, but you’ll be up and running with QuerySurge in minutes. See what else the Cloud trial has to offer and sign up. Q: My company would like to formally evaluate QuerySurge – do you offer support during trials? A: Sign-up for a QuerySurge Proof-of-Concept. You can use QuerySurge for 45 days with weekly support sessions and regular communication from your dedicated account team. See more about what you’ll get with a PoC and sign up. Q: If I have any questions or issues during my trial, what is the best way to get an answer? A: Most users will start by searching our Knowledge Base, which is available on our web site at the top menu or through the Orange Help button at the bottom left of every page of our web site. From there you can either search for information or reach out to our support team directly. To view the Knowledge Base, click here»

Q: How does the licensing work? A: QuerySurge offers flexible licensing to suit the diverse needs of our customers: Both subscription and perpetual licensesBoth named users and floating usersBoth full users and participant usersBoth on-premises and in-the-cloud installationPricing per user – both individual user and discounted package dealsExcellent maintenance & support servicesPremium Services for any services not covered by traditional support See our transparent Licensing & Pricing section for all the details. Q: Do we need to acquire licenses for each Source/Target technology, or is this included with QuerySurge? A: Nope! We use standard drivers for all Source/Target technologies, and if we don’t ship with a driver you want, you can deploy it yourself. No additional licensing is required.

Q: Does QuerySurge have robust reporting? A: QuerySurge provides Data Analytics Dashboard and Data Intelligence Reports that cover the lifecycle of your data testing. Monitor project status and performance trends with customizable dashboards and interactive widgets. Dive into specific data points for detailed insights. Leverage a variety of configurable Data Intelligence Reports, from summary views to in-depth audits, including root cause analysis at the column level. Tailor reports by date, asset type, or execution, and export them as Excel or PDF. Integrate with test management or CI/CD tools for streamlined reporting. Q: Does QuerySurge support custom reporting options? A: QuerySurge reporting is highly customizable with multiple filters on most reports. Q: Can my reports be distributed and/or exported to others? A: Reports can generally be exported to a pdf or Excel format. Q: Can QuerySurge notify me by email about executions? A: Absolutely. QuerySurge has an email notification feature that lets you set up custom email notifications to other QuerySurge users about executions, including execution outcomes and metrics, based on triggers of your own choosing. Q: Can I create my own reports? A: Absolutely! QuerySurge’s Ready for Analytics helps you to seamlessly integrate your preferred Business Intelligence and Analytics tool with QuerySurge to gain deeper, real-time insights into your data validation and ETL testing workflows.​Ready-for-Analytics provides your team with direct, secure access to the QuerySurge database, empowering QA Engineers, Data Analysts, and Business Users to analyze testing results using any industry-leading business intelligence (BI) platform.

Q: What types of integration does QuerySurge have? A: QuerySurge connects to over 200 technologies via data connectors, enabling validation across various data sources. These include traditional databases, Hadoop and NoSQL stores, cloud platforms, flat files, JSON, and Excel, business intelligence tools, CRMs and ERPs, and anything else that stores data. See the full list here. QuerySurge integrates seamlessly into DevOps pipelines and virtually all CI/CD tools. Q: How can I integrate with other software tools? A: QuerySurge supports Webhooks, providing real-time integrations with your DevOps, CI/CD, and alerting tools. Webhooks are like a digital messenger. When something happens in QuerySurge (like a test finishes), it sends a quick alert to another application, like Slack, Jira, Azure DevOps, or Jenkins, so you don’t have to check manually. QuerySurge’s DevOps for Data has over 100+ API calls with hundreds of customizable parameters, that provide you with the ability to connect to any other APIs. Q: Are there API options? A: As mentioned above, QuerySurge provides RESTful API access. QuerySurge integrates with virtually all DevOps and DataOps solutions in the marketplace. Testers can dynamically generate, execute, and update tests and data stores utilizing 100+ API calls with almost 100 different properties. See our DevOps for Data offering. Q: Does QuerySurge integrate with any Test Management tool? A: QuerySurge currently integrates with Atlassian Jira, Microsoft Azure DevOps, OpenText ALM (formerly HP), and IBM Engineering Test Management (ETM). Through Webhooks, QuerySurge integrates with Microsoft Teams, Slack, GitHub, GitLab, and TestRail. And through the DevOps for Data API, QuerySurge can integrate with virtually any other software that also has an API. Q: Can QuerySurge be automatically launched by another tool? A: Through the API, QuerySurge can be automatically launched by any ETL tool, Scheduler or Automated Build software that has command line API access. For a list of software we integrate with, please visit our DevOps, CD/CI page here»

Q: Are there any data size limitations? A: QuerySurge imposes no data size limitations on queries. However, the hardware that you deploy QuerySurge on will impose its own limitations. More hardware resources will give you greater flexibility with QuerySurge. Q: What technologies are supported? A: QuerySurge supports all Hadoop and NoSQL data stores, Data Warehouses, traditional databases, flat files, XML, Excel, mainframe, JSON and any other JDBC compliant data structure through data connectors. For a full list of technologies supported, click here» Q: Does QuerySurge test unstructured data? A: If your unstructured data is in a datastore that can accommodate JDBC connectivity, we should be able to handle it. Contact us if you would like to discuss specifics. Q: What kinds of data can QuerySurge test? A: QuerySurge can test most of the standard data types that are common to current data stores and databases. This includes CLOB and BLOB data types.

Q: What technologies are supported? A: QuerySurge supports data lakes, data warehouses, traditional databases, flat files, XML, Excel, mainframe, JSON, and any other JDBC-compliant data structure through data connectors. For a complete list of technologies supported, click here» Q: How do you configure the connections of the databases for source to target? A: All database connections can be configured using QuerySurge’s built-in Connection wizard. You will have the option to access this wizard when installing the application. Q: Are the database connections set up on a per-user basis? A: No. Once a Connection has been set up in the application, all authorized QuerySurge users can build queries using any connection. Q: How does QuerySurge handle flat file querying? A: QuerySurge ships with a flat file data connector that makes your files ​“look” like database tables to QuerySurge. You can then query your files using a standard SQL dialect. Q: How does QuerySurge handle XML file querying? A: We have an XML file data connector that makes your XMLs ​“look” like database tables to QuerySurge. You query your files using a standard SQL dialect. Contact us for information. Q: Does QuerySurge support data comparison from a flat file to data in a database? A: Yes, QuerySurge is built for this! Through our data connectors, you can query flat file vs. database, excel file vs. database, XML file vs. database, flat file vs. flat file, Hadoop/Hive vs. database, Hadoop/Hive vs. flat file, etc. in any combination.

Q: What can I install on for a trial? A: For a QuerySurge trial, the specifications can be found here» Q: What can I install on for production deployment? A: Our recommended production deployment specifications can be found here» Q: Does the QuerySurge Agent need to be deployed on my database servers? A: No – in fact, we do not recommend deploying Agents on your database servers. Agents should be deployed in your environment in a hub-and-spoke relationship to the QuerySurge application server. Any boxes or VMs with sufficient resources (see questions above) to perform QuerySurge tasks can be used, including the Testers’ desktops. Q: I have queries in my trial installation of QuerySurge that I want to use after I purchase a license. Can I keep them? A: Yes. If you deployed your Trial installation on the same hardware as you plan for your production QuerySurge installation, you’re all set – all we need to do is apply your new license to your existing QuerySurge instance. Everything else stays the same.
If you need to move your queries from your trial QuerySurge instance to your ​“permanent” QuerySurge installation, please contact us or get in touch with your account manager. We’ll be happy to help you! Q: Does QuerySurge install locally for each user, or is it a web-based application? A: QuerySurge is a pure Web 2.0 application with a database server behind an app server. Users can access the software through any supported browser (Chrome, FireFox, Edge, and Safari). Q: Where can I get help if I have issues during installation? A: Most users will start by searching our Knowledge base, which is available on our web site at the top menu or through the Orange Help button at the bottom left of every page of our web site. From there you can either search for information or reach out to our support team directly. To view the Knowledge Base, click here»

Q: What is QuerySurge’s architecture? A: QuerySurge consists of the following components: The QuerySurge Application Server (Tomcat)The QuerySurge Database (MySQL)QuerySurge Agent(s) – a minimum of one must be deployedQuerySurge Execution API (optional)
For more information and a detailed look at the QuerySurge product Architecture components, see this page: http://www.querysurge.com/product-tour/product-architecture Q: What is an Agent? A: The QuerySurge Agent is the component of the architecture that actually executes queries against Source and Target data sources, returning the results to QuerySurge. Agents are deployed in a hub-and-spoke relationship to the QuerySurge application server, as you can see in the QuerySurge product architecture diagram. Q: How many Agents will I need? A: For a QuerySurge Trial or a POC, one agent is normally sufficient.

For production deployment, the answer is dependent on multiple factors (your Source/Target data base/data source products, the hardware Source/Target are deployed on, your style of query-writing) and is best determined as you gain more experience with QuerySurge in your own environment. Q: Do I need to use my own backend database? A: Nope! QuerySurge comes with its own embedded database. We handle the database licensing, so deploying QuerySurge will not affect any licensing that your organization currently has.

Q: Does QuerySurge use Artificial Intelligence (AI) to support its testing? A: Yes it does! QuerySurge AI is a generative Artificial Intelligence solution that simplifies and speeds up ETL testing. It creates data validation tests, including transformational tests, based on data mappings. The average data warehouse project has between 250 to 1,500 data mappings and test creation for each mapping requires approximately 1 hour per test. With QuerySurge AI, test creation happens quickly, converting data mappings into tests written in the data store’s native SQL with little to no human intervention, reducing the need for people skilled in SQL, and providing a huge return-on-investment (ROI). Q: Is the QuerySurge AI model installed behind my firewall or is it in a cloud? A: QuerySurge AI provides a flexible implementation with 2 models – Cloud and Core. Whether you require rapid cloud deployment or an on-premises model for complete control, QuerySurge AI offers two powerful implementation options tailored to your specific needs. QuerySurge AI Cloud is fully hosted in the cloud, requires no hardware, provides rapid deployment with minimal setup, and is ideal for teams seeking fast results with minimal IT overhead.QuerySurge AI Core is installed within your environment, provides full control over your data and configuration, requires server installation (it runs on GPUs or CPUs), and is designed for organizations with strict compliance or security policies.

Q: What use cases are supported?
Data Warehouse & ETL Testing: Automate the data validation & testing of Data Warehouses and the ETL process.Big Data Testing: Test any Big Data implementation, whether it be Hadoop or NoSQL data store from all major vendors.DevOps for Data / Continuous Testing: Dynamically create data validation tests and integrate with other solutions in your DataOps pipeline.Data Migration Testing: Migrating from legacy systems to a new system, from one vendor to another, or from on-prem to the cloud.BI Report Testing: Retrieve data from reports and validate that data against a source or target data or another report.Enterprise App / ERP Testing: Automate the testing of data feeds into/out of ERP, CRM, HR system, or any large enterprise system. Q: Does QuerySurge use artificial intelligence to support its testing? A: Yes it does! QuerySurge AI is a generative Artificial Intelligence solution that simplifies and speeds up ETL testing. It creates data validation tests, including transformational tests, based on data mappings. The average data warehouse project has between 250 to 1,500 data mappings and test creation for each mapping requires approximately 1 hour per test. With QuerySurge AI, test creation happens in minutes, converting data mappings into tests written in the data store’s native SQL with little to no human intervention, reducing the need for people skilled in SQL. Q: What data pain points does QuerySurge solve? A: QuerySurge solves the following data challenges: The need for improved data quality.
QuerySurge can find data issues such as missing data, truncated data, type mismatches, null translations, wrong translations, misplaced data, extra records, not enough records, transformation logic errors, sequence generator errors, undocumented requirements, duplicate records, numeric precision errors, and rejected rows. The ability to test across diverse platforms.
Whether a Big Data lake, Data Warehouse, traditional database, NoSQL document store, BI reports, flat files, JSON files, SOAP or restful web services, XML, mainframe files, or any other data store. The need to analyze your data, looking for anomalies.
QuerySurge’s Data Analytics Dashboard and Data Intelligence Reports cover the lifecycle of your data testing process by reporting on trends, finding problematic areas and providing root cause analysis. Also, Ready for Analytics helps you to integrate your preferred Business Intelligence tool with QuerySurge to gain deeper, real-time insights into your data validation and ETL testing workflows.​The need to speed up your data validation and ETL testing through automation.
You can leverage artificial intelligence to easily automate your data testing. Automation can kick off your tests, perform the data validation, and provide automated emailed reports of the results to your entire team, while updating your change management system. QuerySurge can validate up to 100% of all data up to 1,000 x faster than traditional testing. The ability to integrate data validation into you CI/CD DataOps pipeline.
QuerySurge integrates with most Data Integration/ETL solutions, Build/Configuration solutions, and QA/ Change Management solutions through our the industry’s most extensive RESTful API.