Key Facts
- Category
- Format Conversion
- Input Types
- file, text, number, select, checkbox
- Output Type
- file
- Sample Coverage
- 4
- API Ready
- Yes
Overview
The XLSX Parquet Exporter is a specialized utility designed to convert tabular Excel data into analytics-ready formats like Parquet and NDJSON, facilitating seamless integration into data lake and warehouse pipelines.
When to Use
- •Preparing Excel datasets for ingestion into columnar data warehouses like BigQuery, Snowflake, or Redshift.
- •Converting static spreadsheet logs into NDJSON for streaming ingestion into real-time analytics platforms.
- •Standardizing messy Excel files into structured, schema-inferred formats for automated ETL workflows.
How It Works
- •Upload your Excel file and specify the target sheet and header row location.
- •Select your preferred output format: Parquet for columnar storage, NDJSON for streaming, or both.
- •Enable field name sanitization and null conversion to ensure data compatibility with downstream database schemas.
- •Download the processed file or ZIP archive ready for your data pipeline.
Use Cases
Examples
1. Warehouse Data Migration
Data Engineer- Background
- A team maintains sales records in Excel that need to be loaded into a cloud data warehouse for BI reporting.
- Problem
- CSV imports often fail due to schema mismatches and lack of native type support.
- How to Use
- Upload the sales workbook, select 'Parquet' as the output mode, and enable 'Sanitize Field Names'.
- Example Config
-
outputMode: 'parquet', useSanitizedFieldNames: true - Outcome
- A schema-ready Parquet file that maps directly to the warehouse table structure without manual data cleaning.
2. Streaming Log Ingestion
Backend Developer- Background
- Operational logs are tracked in a shared spreadsheet and need to be ingested into an ELK stack.
- Problem
- The logs must be in NDJSON format to be processed by the streaming pipeline.
- How to Use
- Upload the log sheet and set the output mode to 'NDJSON'.
- Example Config
-
outputMode: 'ndjson', nullForEmpty: true - Outcome
- A clean NDJSON file ready for immediate ingestion into the streaming pipeline.
Try with Samples
json, xml, xlsxRelated Hubs
FAQ
Why use Parquet over CSV for data warehouses?
Parquet is a columnar storage format that offers superior compression and query performance compared to row-based formats like CSV.
What happens to empty cells in my Excel file?
If 'Convert Empty to Null' is enabled, the tool automatically maps blank cells to null values, preventing schema errors during ingestion.
Can I export multiple sheets at once?
The tool processes one sheet at a time. You can specify the sheet name to target the exact data you need to export.
What does 'Sanitize Field Names' do?
It automatically cleans column headers by removing special characters and spaces, ensuring they meet strict naming conventions required by most SQL databases.
Is there a limit to the file size?
The tool supports files up to 100MB, which is sufficient for most standard analytical datasets.