How to integrate Google Analytics Multi-Channel Funnels Reporting API in MemSQL

Discover how to integrate Google Analytics Multi-Channel Funnels Reporting API and MemSQL and instantly get access to your data.

WITH DATA VIRTUALITY PIPES
Replicate Google Analytics Multi-Channel Funnels Reporting API data into MemSQL and analyze it with your BI Tool.
How to integrate Google Analytics Multi-Channel Funnels Reporting API in MemSQL with Pipes


About Google Analytics Multi-Channel Funnels Reporting API

Google's Multi-Channel Funnels Reporting API enables you to request Multi-Channel Funnels data for an authenticated user. Data is derived from conversion path data, which shows user interactions with various traffic sources over multiple sessions prior to a conversion. It allows you to analyze how multiple channels influence conversions over time.

About MemSQL

MemSQL is a real-time data warehouse that runs in the cloud as well as on-premises and one of the leading database platforms for real-time analytics. It compiles SQL (Structured Query Language) into machine code via termed code generation. This ways MemSQL helps organizations anticipate problems, and turn insights into effective actions.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Google Analytics Multi-Channel Funnels Reporting API, MemSQL and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • SQL Modelling Layer
  • Complex Replication Types
  • Advanced Jobs & Schedules
  • Metadata Repositories
  • Custom Extraction Definitions
  • Job Dependencies
  • Multiple Target Storages
  • Data Federation Features
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.