How to connect IBM Netezza to R

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

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


About IBM Netezza

IBM Netezza designs and markets advanced data warehouse appliances for analytics applications. Use cases for IBM Netezza include business intelligence, data warehousing, business continuity planning and predictive analytics. The Netezza SQL commands support the standard grammar (SQL-92). The purpose-built, embedded, advanced analytics platform IBM Netezza Analytics helps client's analytics to meet their business demands.

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 IBM Netezza, 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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