DataRefineLadder - Data Quality Solution
Ajay Mittal
Azure Data Architect | Azure & Databricks Certified | Proficient in Spark, Python | Working Experience on Azure, AWS & GCP | Agile | Data science enthusiast
Due to #covid19 breakdown, many companies reduced their forecast and few companies are facing huge loss. BI/Analytics on good quality data will help them to revive their business.
DataRefineLadder, a data quality solution promise data quality. It’s a metadata independent solution supports all readable flat files. Click here to understand its architecture and more details.
It needs XML file to validate data on below constraints.
1. Column Count
2. Column Name
3. Trim
4. Remove Extra Spaces
5. Mandatory Check
6. De-duplication Check
7. Data Type Check
8. Sign Validation
9. Set-Membership check
10. Data Range Check
11. Referential Integrity Check
12. Split Inconsistencies
13. Error Report
14. Data Analysis Report for data verification
XML file can be generated using DataRefineLadder. Click here for more help.
#analytics #bigdata #qualitymatters #qualitycontrol #advancedanalytics #dataquality #data #dataanalytics #datamanagement
Tech Lead at Honeywell
4 å¹´Great job Ajay