#datavalidationchallenges search results

𝗛𝗼𝘄 𝘁𝗼 𝗦𝗼𝗹𝘃𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 - 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗣𝗿𝗼𝗰𝗲𝘀𝘀. Most people think data analysis is just running code and making charts. It’s not. It’s a structured problem-solving process. Here’s the framework that actually works. 🧵…

iam_daniiell's tweet image. 𝗛𝗼𝘄 𝘁𝗼 𝗦𝗼𝗹𝘃𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 - 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗣𝗿𝗼𝗰𝗲𝘀𝘀.

Most people think data analysis is just running code and making charts.
It’s not. It’s a structured problem-solving process.
Here’s the framework that actually works. 🧵…

Trying out in-depth understanding of Data Validators

abhinavexists_'s tweet image. Trying out in-depth understanding of Data Validators

Data Engineers don’t fail interviews because of Spark, Airflow, or Snowflake... They fail because of SQL, Python, and coding rounds. And there was no Leetcode for Data Engineers. So we built one. At DataVidhya Code+, you can now: - Practice 150+ coding challenges (SQL,…

parmardarshil07's tweet image. Data Engineers don’t fail interviews because of Spark, Airflow, or Snowflake...

They fail because of SQL, Python, and coding rounds.

And there was no Leetcode for Data Engineers.

So we built one.

At DataVidhya Code+, you can now:
- Practice 150+ coding challenges (SQL,…

Most maintenance failures aren’t from broken equipment—they’re from broken data. Standardize your maintenance data & cut downtime by 50%, reduce costs by 40%, & make fact-based decisions. #BetterData = Smarter Ops #DataQuality #ISO8000 #PiLog #DataGovernance #MDMTools

PiLog_group's tweet image. Most maintenance failures aren’t from broken equipment—they’re from broken data. 

Standardize your maintenance data & cut downtime by 50%, reduce costs by 40%, & make fact-based decisions.

#BetterData = Smarter Ops 

#DataQuality #ISO8000 #PiLog #DataGovernance #MDMTools

Dear PCMs, good morning! If you’re trying to log in and encounter this error message “Conversion from string ‘28/03/2025’ to type ‘Date’ is not valid” please note that the NYSC team is currently working on resolving it. Meanwhile, you can use the alternative link:…

nysc360's tweet image. Dear PCMs, good morning!

If you’re trying to log in and encounter this error message “Conversion from string ‘28/03/2025’ to type ‘Date’ is not valid”  please note that the NYSC team is currently working on resolving it.

Meanwhile, you can use the alternative link:…

Most AI doesn’t fail because the models are weak, it fails because the data is unverified. The real challenge isn’t compute, it’s truth. 👇🧵


Most data quality issues are invisible until it’s too late. ❌ Join our #live session to learn how to evaluate external datasets with confidence. Get a vendor-neutral 6-step #framework to ⤵️ ➖ Uncover hidden issues like duplicates or unclean #data ➖ Understand what “profile…

CoresignalHQ's tweet image. Most data quality issues are invisible until it’s too late. ❌ Join our #live session to learn how to evaluate external datasets with confidence.

Get a vendor-neutral 6-step #framework to ⤵️

➖ Uncover hidden issues like duplicates or unclean #data
➖ Understand what “profile…

Hidden problem of data duplication and then incorrect tagging. Create clarity about the data sets.

jjza's tweet image. Hidden problem of data duplication and then incorrect tagging. Create clarity about the data sets.

Validity. Integrity. Accessibility. These are just a few metrics for measuring the quality of data. But what about the others you don’t know? And how do these metrics shift across disciplines and contexts? Come find out 8pm tomorrow. x.com/i/spaces/1mrGm…


The absolute biggest challenge in web3 is unreliable data. Every data source I look, I question if it's true. It's only verified if I see it from 3 different sources. Who's building web3 data aggregator?


Try this data challenge, test your data skill: Column A contains the email of all customers who have taken loans Column B contains the email of customers who have cleared their loan debt Find the email of the customers with pending loan debt Drop your answer in the comment

Godsent_Ogar's tweet image. Try this data challenge, test your data skill:

Column A contains the email of all customers who have taken loans 

Column B contains the email of customers who have cleared their loan debt 

Find the email of the customers with pending loan debt 

Drop your answer in the comment

- #ثريد تنظيف البيانات | Data Cleaning 🧽 راح نتكلم عن:- - Null values JI.1/ القيم الخالية -Misspelled Words JI.2/ الكلمات التي بها أخطاء إملائية -Extra spaces JI.3 / مساحات إضافية -Duplicates JI.4 / التكرارات -Mismatched data types JI.5 / أنواع البيانات غير المتطابقة…

3zbn4's tweet image. - #ثريد

تنظيف البيانات | Data Cleaning 🧽 

راح نتكلم عن:- 

- Null values JI.1/ القيم الخالية
-Misspelled Words JI.2/ الكلمات التي بها أخطاء إملائية
-Extra spaces JI.3 / مساحات إضافية
-Duplicates JI.4 / التكرارات
-Mismatched data types JI.5 / أنواع البيانات غير المتطابقة…

Dear DATA ANALYSTS 😎 What STAGE are you in your training? Last week, I shared a POWERFUL RESOURCES on EXCEL AND POWERBI 🔥 TODAY, I will be sharing TOP 5 SQL PROJECTS to BUILD your STRONG DATA ANALYTIC PORTFOLIO 🚀✅ Thread 🧵👇 Please Retweet for others 2 C 🙌

ayo_purity's tweet image. Dear DATA ANALYSTS 😎

What STAGE are you in your training?

Last week, I shared a POWERFUL RESOURCES on EXCEL AND POWERBI 🔥

TODAY, I will be sharing  TOP 5 SQL PROJECTS to BUILD your STRONG DATA ANALYTIC PORTFOLIO 🚀✅

Thread 🧵👇

Please Retweet for others 2 C 🙌

You are working with a dataset where: Dates appear in multiple formats (YYYY-MM-DD, DD/MM/YYYY, MM-DD-YYYY). Customer phone numbers are inconsistently formatted ((123) 456-7890, 123-456-7890, 1234567890). Country names are inconsistent (USA, United States, U.S., America).…


A Python library for data validation without schemas

tom_doerr's tweet image. A Python library for data validation without schemas

📉 Poor data costs companies millions & kills productivity. From lost revenue to damaged reputations, bad data has real consequences. Learn how to identify, fix, and prevent these costly errors in our latest blog.🚀 🔗 Read more - zurl.co/dataprepblog #zohodataprep #zoho

zohodataprep's tweet image. 📉 Poor data costs companies millions & kills productivity. From lost revenue to damaged reputations, bad data has real consequences. Learn how to identify, fix, and prevent these costly errors in our latest blog.🚀  

🔗 Read more - zurl.co/dataprepblog 

#zohodataprep #zoho

Self studying data analysis? This week, take your gaze away from building the next dashboard. Try studying: Data cleaning Data modeling Data validation Data normalization How to communicate as a DA Study these data concepts across all your tools. Few resources in 🧵


Data-driven Testing Use Cases Here are some helpful use cases for data-driven testing to automate input validation with external datasets to ensure flexibility, scalability, and accurate results in testing. 🔗 hubs.la/Q03Rh7zd0 💬 Share your thoughts with us in the…


#DataValidationChallenges #9 and how Datagaps can help? #DataReconciliation with DataGaps DataOps Suite performs data reconciliation by comparing the migrated data with the source data, enabling you to detect and resolve any differences. datagaps.com/request-demo/

datagaps's tweet image. #DataValidationChallenges #9 and how Datagaps can help?

#DataReconciliation with DataGaps DataOps Suite performs data reconciliation by comparing the migrated data with the source data, enabling you to detect and resolve any differences.
datagaps.com/request-demo/

#DataValidationChallenges #8 and how Datagaps can help? datagaps.com/request-demo/ #DataValidationRules with DataGaps #ETLValidator provides a flexible rule engine that allows you to define and enforce complex validation rules during #datamigration. #GetDatagaps #ETLtesting

datagaps's tweet image. #DataValidationChallenges #8 and how Datagaps can help?
datagaps.com/request-demo/
#DataValidationRules with DataGaps #ETLValidator provides a flexible rule engine that allows you to define and enforce complex validation rules during #datamigration.  #GetDatagaps #ETLtesting

#DataValidationChallenges #7 and how Datagaps can help? #DataMapping with DataGaps DataOps Suite allows you to define and validate data mappings, ensuring that the right data is extracted, transformed, and loaded into the target system. Get a Demo: lnkd.in/dDc2z7BD

datagaps's tweet image. #DataValidationChallenges #7 and how Datagaps can help?

#DataMapping with DataGaps DataOps Suite allows you to define and validate data mappings, ensuring that the right data is extracted, transformed, and loaded into the target system.

Get a Demo: lnkd.in/dDc2z7BD

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#DataValidationChallenges #7 and how Datagaps can help? #DataMapping with DataGaps DataOps Suite allows you to define and validate data mappings, ensuring that the right data is extracted, transformed, and loaded into the target system. Get a Demo: lnkd.in/dDc2z7BD

datagaps's tweet image. #DataValidationChallenges #7 and how Datagaps can help?

#DataMapping with DataGaps DataOps Suite allows you to define and validate data mappings, ensuring that the right data is extracted, transformed, and loaded into the target system.

Get a Demo: lnkd.in/dDc2z7BD

#DataValidationChallenges #8 and how Datagaps can help? datagaps.com/request-demo/ #DataValidationRules with DataGaps #ETLValidator provides a flexible rule engine that allows you to define and enforce complex validation rules during #datamigration. #GetDatagaps #ETLtesting

datagaps's tweet image. #DataValidationChallenges #8 and how Datagaps can help?
datagaps.com/request-demo/
#DataValidationRules with DataGaps #ETLValidator provides a flexible rule engine that allows you to define and enforce complex validation rules during #datamigration.  #GetDatagaps #ETLtesting

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