Upload Data

Panoply allows you to upload data from the following file types: CSV, JSON, and XLS. The table structure of this data depends on the way the data is structured in the source document.

Panoply’s Upload Data ETL integration automatically syncs your Upload Data data into tables inside Panoply where you can further transform it with SQL.

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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?

Integrating data for analytics can be especially hard in a fast-shifting, rapid growth startup environment, where relevant business data might be spread out across a collection of apps and spreadsheets. ETL (Extract, Transform, Load) tools will help you collect your data from APIs and file transfers (the Extract step), convert them into standardized analytics-ready tables (the Transform step) and put them all into a single data repository (the Load step) to centralize your analytics efforts.

The shift to ELT

The traditional ETL model is a relic of the pre-cloud era, when compute resources were expensive, and everything needed to be cleaned up before analysis. These days, moving the transformation step closer to the time of analysis is not only feasible, it’s desirable. ELT lets you load raw data, increasing your analytical flexibility and moving relevant data more quickly from your engineering team to your analytics and BI teams.

All in one Upload Data data pipeline

Panoply’s 80+ data connectors and built-in automated cloud data warehouse will let you go from a collection of siloed datasets to sophisticated analyses that integrate your Upload Data data in a matter of minutes. Panoply is the only tool that combines an ETL process with a data warehouse, giving you total control over your data from sync to storage. We’ll handle all the infrastructure so you can skip the engineering work and go straight to analysis with your favorite BI tool.

Screenshots

Panoply has given us drastic improvements in query speed and brought all our data in one place. Our visualizations in Looker are much more fast and efficient.
John Wessel - Freshwater Systems
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