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Understanding Column Type Changes and Common Errors
Im trying to change column type and get errors, what is usecase of column type do i miss something
Im trying to change column type and get errors, what is usecase of column type do i miss something
Column data types are important for ensuring proper data formatting and compatibility, especially when working with integrations and exports. The main use cases include: 1. Data consistency and integrity - Using proper data types helps save space and enhance performance 2. CRM Integration compatibility - When exporting to CRMs like Hubspot or Salesforce, the data types in your Clay table must match the corresponding field types in your CRM. If they don't match, the export will failIf you're getting errors, it's likely because: ** The data type doesn't match your destination system requirements ** The current data in the column isn't compatible with the new type you're trying to setTo change a column's data type: 1. Right-click the column 2. Select "Edit Column" > "Select Data Type" 3. Choose the appropriate data type 4. Click "Save Settings" Sources: Select Column Data Type Hubspot integration overview | Documentation | Clay University Salesforce integration overview | Documentation | Clay University What is SQL? | Clay
can you explain more about data consustency and integrity
maybe some examples
Data consistency and integrity are crucial for maintaining high-quality, reliable data. Here are key aspects with examples: 1. Standardized Formats: ā¢ Using uniform standards like consistently writing "St." instead of "Street" to prevent duplicates 2. Data Validation and Quality: ā¢ Regular audits to check for accuracy and completeness of records ā¢ Automated systems to diagnose data quality issues ā¢ Removing duplicate entries to maintain clean data 3. Proper Data Types: For example, when working with dates in CRM integrations, they must follow specific formats (like Unix time set to midnight) to ensure successful data transfer. If data types don't match, operations will fail. 4. Regular Maintenance: This is especially important since data can decay at about 30% each year. Regular updates and validation help maintain accuracy and actionability of your data. Sources: What is Data Hygiene? | Clay What is Data Hygiene? | Clay What is Data Hygiene? | Clay Hubspot integration overview | Documentation | Clay University
Vasilije - Do you mind sending the link to the table so we can take a look? https://downloads.intercomcdn.com/i/o/1171717996/ac7729f84b426e1d0358af02/image.png?expires=1735145100&signature=df56cb692502a8fed3acff6627940d093d1ad0e3007bbfad0631e1f85d6e74ed&req=dSEgF85%2FmohWX%2FMW1HO4zYTywS79ApIX2BKsam%2FhVPvKSA%3D%3D%0A