How to join Ubermetrics and Generic Web Services SOAP/REST

Discover how to join Ubermetrics with Generic Web Services SOAP/REST for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Ubermetrics and Generic Web Services SOAP/REST data into one target storage and analyze it with your BI Tool.
How to join Ubermetrics and Generic Web Services SOAP/REST with Pipes


About Ubermetrics

The cloud-based analytics platform Ubermetrics helps customers identify critical informations from online, print, TV and radio sources in real-time to optimize business decisions. Companies across different industries can use Ubermetrics to measure the effectiveness of certain marketing activities or monitor customers sentiment and satisfaction as well as supply chain processes. To discover appropriate insights Ubermetrics offers features to filter for key metrics as number of mentions, followers, comments, shares, retweets and export them with customizable reports.

About Generic Web Services SOAP/REST

A web service is a service offered by an electronic device to communicate with other electronic devices via the World Wide Web. SOAP (Simple Object Access Protocol) is a protocol specification for the transfer of structured data in the implementation of web services in computer networks. RESTful or Representational state transfer (REST) web services support the interoperability between computer systems on the internet by allowing requesting systems to access and manipulate textual representations of web resources using uniform state less operations.

What is Data Virtuality Pipes?

Data Virtuality Pipes is an easy to use data integration tool. It allows to connect with Ubermetrics, Generic Web Services SOAP/REST 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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