How to join Google PageSpeed Insights API and DB2 for zSeries (zOS)

Discover how to join Google PageSpeed Insights API with DB2 for zSeries (zOS) for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Google PageSpeed Insights API and DB2 for zSeries (zOS) data into one target storage and analyze it with your BI Tool.
How to join Google PageSpeed Insights API and DB2 for zSeries (zOS) with Pipes


About Google PageSpeed Insights API

Google PageSpeed Insights is a web tool that helps in identifying performance best practices on any website, provides suggestions on a website optimizations, and suggests general ideas of how to improve a website's speed. The tool is a browser application. Per URL request, it grades webpage performance on a scale from 1 to 100.

About DB2 for zSeries (zOS)

IBM DB2 is a relational database management system for enterprise-wide solutions developed by IBM. A relational database is a database in which all of the data is logically contained in tables. These databases are organized according to the relational model. In a relational database like IBM DB2, referential integrity ensures data integrity by enforcing rules with referential constraints, check constraints, and triggers.

What is Data Virtuality Pipes?

Data Virtuality Pipes is an easy to use data integration tool. It allows to connect with Google PageSpeed Insights API, DB2 for zSeries (zOS) 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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