How to connect Melissa Data Cloud to R

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

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


About Melissa Data Cloud

Melissa Data specializes in mailing preparation solutions and global contact data quality for enterprises as well as small businesses. The offering of Melissa Data covers various types of contact data services that enable companies to perform enrichments and one-time cleanses on different contact elements such as address verification, duplicate elimination, phone and email append, geocoding, and demographic append.

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 Melissa Data Cloud, 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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