How to connect Flat File (XML, CSV, JSON, etc.) to R

Discover how to get data from Flat File (XML, CSV, JSON, etc.) (and from other sources) into R by locating it into your data warehouse that is connected to R.
Load your Flat File (XML, CSV, JSON, etc.) data into your central data warehouse to analyze it with R.
To analyze Flat File (XML, CSV, JSON, etc.) data with R, Pipes provides you with fast and easy access to all your data by automatically loading it in your data warehouse. Always up-top-date, no performance issues, without writing a single line of code.
1

Connect your data warehouse

It will be the central database for your Flat File (XML, CSV, JSON, etc.) data. Pipes supports the most popular relational data warehouses in the cloud and on-premises.
2

Connect to Flat File (XML, CSV, JSON, etc.)

You just need to enter the associated credentials to allow Pipes access to the Flat File (XML, CSV, JSON, etc.) API.
3

Create a data pipeline

Create a pipeline from Flat File (XML, CSV, JSON, etc.) to your central data warehouse. The pipeline will run automatically on your defined schedule, so you will always have fresh data available.
4

Access your Flat File (XML, CSV, JSON, etc.) data with R

Connect R to your data warehouse. You will see your Flat File (XML, CSV, JSON, etc.) data there in form of standardized tables. Now you can analyze your data without performance issues!

About Flat File (XML, CSV, JSON, etc.)

A flat file is a database typically stored on host computer systems as unstructured files. To manipulate and access the structure of the data, the files must first be read completely in the computer’s memory. The file is written out completely to the host file system after completion of the database operations. Flat files are often plain text or binary files.

About R

R is a software environment and programming language supported by the R Foundation for statistical computing and for statistical graphics and computing. Data miners and statisticians use the language R for developing statistical software. Source code for the R software environment is primarily written in Fortran, C, and R.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.