--- title: DataOps Principle Assessment description: This assessment helps companies assess the current state of data operation and helps your ate current capabilities to strategize the DataOps better --- [![Xenonstack Logo](https://www.xenonstack.com/hubfs/xs-logo.svg)](https://www.xenonstack.com/) - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) Types of Data Sources in Design/Architecture? ( That are planned or already there in Existing Platform.) - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) Different Data Domains expected to ingest ? - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) What is the expected Data Velocity ? - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) Is Data encryption being used in pipelines ? - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) What practices for PII data detection and masking the data are planned or being followed in Architecture: - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) Data Cleaning Practices in the process. - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) What type of Design/Architecture is being used as part of Master Data Management: - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) Is Data Cataloging applied in the pipeline: - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) Data results will be captured in which of the following type: - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) How the end-users will use the Data: - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) What Data Quality checkers applied to ensure veracity of data for the pipeline? - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) What dimensions of data quality assures the veracity in data in the pipeline? - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) Any Data Quality Reports in Design/ Architecture: - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) Any data observability tools in Design/ Architecture: - ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) ![Selected Image](https://www.xenonstack.com/hubfs/assessment-tick.svg) List down all data compliance models in Design/Architecture: [![Xenonstack Logo](https://www.xenonstack.com/hubfs/xs-logo.svg)](https://www.xenonstack.com/) 1/15 [![Facebook](https://www.xenonstack.com/hubfs/xs-facebook-icon.svg)](https://www.facebook.com/XenonStack) [![Twitter](https://www.xenonstack.com/hubfs/xs-twitter-icon.svg)](https://twitter.com/xenonstack) [![Linkedin](https://www.xenonstack.com/hubfs/xs-linkedin-icon.svg)](https://www.linkedin.com/company/xenonstack/) [![Mail](https://www.xenonstack.com/hubfs/xs-mail-icon.svg)](mailto:?subject=Check%20out%20https://www.xenonstack.com/readiness-assessment/dataops-principle/%20&body=Check%20out%20https://www.xenonstack.com/readiness-assessment/dataops-principle/) ![assessment-icon](https://www.xenonstack.com/hubfs/xs-assessment-icon.svg) # DataOps Principles Assessment Types of Data Sources in Design/Architecture? ( That are planned or already there in Existing Platform.) ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Stream Source \[Kinesis, Kafka\] Storage Source \[FTP, SFTP, AWS S3 Bucket\] Databases as a Source \[MySQL, Postgres\] API Source with Polling Mechanism \[Rest API\] API Event Source Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) Different Data Domains expected to ingest ? ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Documents CRM Conversational E-Commerce Logs Events Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) What is the expected Data Velocity ? ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more x KB/s x MB/s x GB/s other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) Is Data encryption being used in pipelines ? ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Yes No What practices for PII data detection and masking the data are planned or being followed in Architecture: ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Rule based Schema Based Automatic PII Data Detection Custom Models Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) Data Cleaning Practices in the process. ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Duplication Removal Format Filters Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) What type of Design/Architecture is being used as part of Master Data Management: ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Metadata (Description/Definitions of Sources, Columns, Configurations.) Hierarchical Data (Descriptions of real world relationships of platform units.) Reference Data (Description of Data Objects, e.g. countries, currencies, time zones, payment terms, etc.) Not applicable Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) Is Data Cataloging applied in the pipeline: ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png)Know more Yes No Data results will be captured in which of the following type: ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Analytical Reports / Reporting Dashboards KPIs Forecasting Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) How the end-users will use the Data: ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Through KPIs Through Reports Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) What Data Quality checkers applied to ensure veracity of data for the pipeline? ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Data Quality Reports Real-time data Filtering Data Observability Data Profiling Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) What dimensions of data quality assures the veracity in data in the pipeline? ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Completeness Consistency Timeliness Uniqueness Validity Accuracy Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) Any Data Quality Reports in Design/Architecture: ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) Any data observability tools in Design/Architecture: ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Monte Carlo Databand Honeycomb Acceldata Datafold DataDog Other Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) List down all data compliance models in Design/Architecture: ![Tooltip Icon](https://www.xenonstack.com/hubfs/tooltip-icon.png) Know more Use only alphabets. ![Unselected Image](https://www.xenonstack.com/hubfs/astrics.svg) Some required questions are incomplete You must complete all questions before submitting. Un-attempted questions have \* symbol. ![left arrow](https://www.xenonstack.com/hubfs/assessment-left-button.svg) ![Right arrow](https://www.xenonstack.com/hubfs/assessment-right-button.svg) ![Left arrow](https://www.xenonstack.com/hubfs/assessment-left-button.svg) ![Right arrow](https://www.xenonstack.com/hubfs/assessment-right-button.svg) Fill in Details First Name Last Name Email ID Company Captcha Text captcha text ![Refresh Icon](https://www.xenonstack.com/hs-fs/hubfs/captcha-refresh.png?width=20&height=20&name=captcha-refresh.png) Submit We appreciate you for taking DataOps Principles Questionnaire 100 / 100 Your score is 100 / 100. Your organization is perfect Towards data scalability and protection. Our data expert started analyzing your response and get back to you with detailed insight and solutions. 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