How to connect Redis to R

Discover how to connect Redis to R and how to integrate Redis with other data sources to build an organization-wide data model.

WITH DATA VIRTUALITY PIPES
Replicate Redis into a target storage and analyze it with R.
How to connect Redis to R with Pipes


About Redis

Redis is an open-source software project that implements data structure servers. With optional durability, it is an in-memory data structure store, networked, cache and message broker and used as database. Redis supports data structures such as hashes, strings, sets and lists, sorted sets with range queries, hyperLogs, bitmaps, and geospatial indexes with radius queries.  

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.

What is Data Virtuality Pipes?

Data Virtuality Pipes is an easy to use data integration tool. It allows to connect with Redis, R and more than 200 other cloud services and databases. All connected data sources can be directly queried with SQL and data can be moved into any analytical database. Customers of Data Virtuality Pipes no longer have to worry about API changes. All connectors and data pipelines are fully maintained by us.

1

EXTRACT

Choose your data sources: Google Analytics, Salesforce, Facebook, Amazon MWS and more

2

LOAD

Move your data into a target storage: Amazon Redshift, PostgreSQL, Google BigQuery, Snowflake and more

3

ANALYZE

Analyze your combined data using the Business Intelligence tools of your choice: Looker, Tableau, Excel and more

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