Create Datasheet
Users can access the Create Data Sheet page using this option from the Data Sandbox list.
Purpose & Value
A Datasheet provides a structured, governed, and user-friendly layer on top of a raw Data Sandbox file. While Data Sandbox is primarily meant for file storage, ad-hoc uploads, and exploratory handling, the Datasheet converts that file into an application-ready, schema-aware, and reusable dataset inside the BDB Platform.
Creating a Datasheet on top of a Sandbox file serves several important purposes:
Converts Raw Files Into a Structured, Tabular Dataset
The Sandbox file might be a CSV, Excel, or JSON upload.
A Datasheet converts it into a consistent, column-defined table with validated headers and standardized data types.
This makes the dataset immediately usable across the platform.
Enables Reporting, Dashboarding & Visualizations
Datasheets can be directly consumed by:
BDB Reports
Dashboards
A Sandbox file alone cannot be directly used for visual analytics until it is formatted as a Datasheet.
Acts as a Lightweight, Quick-Access Data Source
Datasheets create a faster-access representation of the file:
No need for complex connectors
No dependency on external databases
Users can experiment with data quickly
It is ideal for prototypes, POCs, and rapid iterations.
Ensures Schema Validation & Data Quality Rules
While creating a Datasheet, the platform applies rules:
Header validation
Removal of unsupported characters
Consistent data types
Basic format checks
This prevents schema misalignment later in pipelines or dashboards.
Makes the Dataset Discoverable Through Catalog & Metadata
Once a Datasheet is created:
It appears under the Data Sheet section
Metadata becomes searchable
Lineage connects it to the Sandbox file
Teams can easily find and reuse it
This promotes data governance and reuse.
Provides a Clean, Shareable Version of Uploaded Files
Unlike raw Sandbox files, Datasheets:
Are standardized
Can be shared safely with teams
Are not overwritten by accidental uploads
Maintain a consistent structure for long-term use
Ideal for Business Users Who Need a Spreadsheet-Like Interface
Datasheets act like a managed version of a table or spreadsheet:
Friendly for business & analytics teams
No need for SQL
Easy to preview, understand, and explore
This bridges technical and non-technical users.
Creating a Datasheet on top of a Data Sandbox file transforms a simple uploaded file into a validated, structured, analysis-ready table that can be used seamlessly across the BDB Platform for reporting, analytics, pipelines, and collaboration.
Step-by-step Process
Fill Datasheet Details
Fill in the required information inside the Create Datasheet window:
Datasheet Name* → enter a meaningful name Example:
Sample Sandbox DatasheetDescription → (optional) add a short description Example:
Demo
Review the data sheet prerequisites shown on the screen:
First row must contain column headers
Headers must not contain spaces or special characters
Headers must contain at least one alphabet
Column types should be consistent
UTF-8 encoded files are not supported for datastore creation (These guidelines ensure smooth conversion and accurate metadata mapping.)
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