Guide

Four Approaches to Data Warehouse Integration

Inside the Composable Marketing Stack

Composable Customer Data Platforms (CDPs) are a relatively new trend in the martech landscape, touted as the answer to every data leader’s scale, security and speed problem. But as the trend grew, it brought confusion to the market as data leaders seek a solution to scale their business goals and unique specifications.

So what actually is a Composable CDP? And what qualities actually qualify a solution as such?

In this guide, we’ll zero in on how the “Composable CDP” evolved, and look under the hood of the four methods of data warehouse integration.

So what actually is a Composable CDP? And what qualities actually qualify a solution as such?

In this guide, we’ll zero in on how the “Composable CDP” evolved, and look under the hood of the four methods of data warehouse integration.

In the Data Warehouse Integration, you'll learn:

The four methods of data warehouse integration: Reverse ETl, Data Sharing, Query Pushdown and Federated Query Pushdown
A composable jargon dictionary to help cut through vendor noise
Which solutions will support the needs in your composable marketing stack