Google Sheets Jupyter Integration
Google Sheets connector for Integration with Jupyter. Easily load Google Sheets data to a database and analyze it with Jupyter.
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Analyze Your Google Sheets with Jupyter
The best way to perform an in-depth analysis of Google Sheets data with Jupyter is to load Google Sheets data to a database or cloud data warehouse, and then connect Jupyter to this database and analyze data. Skyvia can easily load Google Sheets data (including Spreadsheets, etc.) to a database or a cloud data warehouse of your choice.
Integrate Google Sheets to Database or Data Warehouse
Use ELT or ETL Integration Process
ELT (Replication)
ELT process supposes simple copying cloud data to a data warehouse or a database as-is, leaving all the transformation tasks for the database server. This is often uses, for example, when loading data to cloud data warehouses with affordable and nearly unlimited computing power for transformations. In Skyvia, this task is solved with easy-to-configure Replication packages.
ETL (Import)
ETL process supposes that data structure in source and target is different, and data must be transformed before loading it into target database. For example, you may want to create a schema for OLAP or simply have target tables for data already created. In Skyvia, this is task solved with Import packages, having powerful mapping and transformation capabilities.
Google Sheets Replication Features
Simple No-coding Setup
All you need to do is to specify parameters for connecting to Google Sheets and data warehouse and select which data to replicate.
Keep Data Up-to-Date
Skyvia’s Replication Tool will painlessly ensure you always have the most current data from your cloud applications in your data warehouse.
Automatic Schema Creation
You don’t need to prepare the database — Skyvia creates the tables, corresponding to the source objects, in the data warehouse automatically.
Google Sheets Import Features
Powerful Data Transformations
Skyvia offers powerful mapping features for data transformations. You can perform data splitting, use complex expressions and formulas, lookups, etc.
Import of New and Updated Data
You can import only new and updated records, and thus, keep your database for analysis always up-to-date.
Preserve Data Relations
With Skyvia all the relations between the imported Google Sheets objects will be preserved. You need just to specify them in mapping.
Connect Google Sheets and Jupyter with minimal effort and in only a few clicks!