Exporting data from Databricks to Excel involves several steps and understanding of both platforms. This process can be essential for analysts and data scientists who need to manipulate or visualize their data within Excel.
This guide provides a straightforward approach to transferring your data seamlessly from Databricks to Excel. We will also delve into why using Sourcetable as an intermediary can simplify this process compared to traditional methods.
To export query results from Databricks SQL to Excel, ensure to uncheck the "LIMIT 1000" option. Then, click the download button to retrieve your data in an Excel file format. This process allows you to download the full set of SQL query results directly into an Excel spreadsheet.
For incorporating Databricks SQL results into an existing Excel file, refer to the forum thread with detailed examples. This method is useful for appending data into pre-formatted Excel templates.
Within Databricks, users can save Resilient Distributed Datasets (RDDs) as text files. Utilize the saveAsTextFile() function to perform this operation, which is ideal for subsequent Excel import.
Data files can be saved to a local folder using the Databricks FileStore. These files are then accessible through the FileStore URL, allowing for easy retrieval and use in Excel.
Data analysis by business analysts using familiar Excel tools
Sharing query results with non-technical stakeholders in a widely-used format
Performing ad-hoc data manipulation and visualization in Excel
Archiving snapshot reports from Databricks dashboards
Combining exported data with existing Excel-based datasets for comprehensive reports
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