Sync Upload Data data into Panoply
ETL the Modern Way. Get your data out of Upload Data so you can analyze it.
The File Upload data source allows you to import data from file-based data sources. Different file formats and types are supported, like character-delimited (comma, tab, etc.) files, JSON, plain text files, and Microsoft Excel files. Archive-type files like .tar and .gzip are also valid, provided that they contain the aforementioned supported files. For file sources that support structured or semi-structured data, like CSV or Excel files, Panoply uses the first row of their data as the columns of their target table. Any rows after that become the records. Sources that contain nested data, usually JSON files, have their nested data extracted and moved to their own tables with foreign keys provided. Lastly, archive files are decompressed, and then their individual files processed accordingly.
Modernizing Upload Data ETL
What is ETL?
The shift to ELT
All in one Upload Data data pipeline
Get easy access to all your Upload Data data in all your tools.
BI tools commonly used with Upload Data data
Count
BI Tools
Tableau
BI Tools
Power BI
BI Tools
Looker
BI Tools
Cumul.io
BI Tools
Mode Analytics
BI Tools
Panintelligence
BI Tools
Metabase
BI Tools
Looker Studio
BI Tools
Redash
BI Tools
Apache Superset
BI Tools
SeekWell
BI Tools
Amazon QuickSight
BI Tools
Domo
BI Tools
Grafana
BI Tools
Qlik
BI Tools
Trevor.io
BI Tools
Draxlr
BI Tools
Apache Zeppelin
BI Tools
Birst
BI Tools
CARTO
BI Tools
Databricks
BI Tools
GoodData
BI Tools
Holistics
BI Tools
IBM Cognos
BI Tools
Jupyter
BI Tools
Klipfolio
BI Tools
KNIME
BI Tools
MicroStrategy
BI Tools
Pentaho
BI Tools
Plotly
BI Tools
PopSQL
BI Tools
Julia
BI Tools
Pandas
BI Tools
Python
BI Tools
SQL
BI Tools
R
BI Tools
Shiny
BI Tools
ThoughtSpot
BI Tools
TIBCO Spotfire X
BI Tools
Yellowfin
BI Tools
Zoho Analytics
BI Tools