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The Hightouch Blog - All

Mar 2

Modern data warehouse modelling: the definitive guide - part 1

A guide on modern data warehouse modelling, exploring best practices from the community and famous modelling paradigms like Kimball’s Dimensional Modelling, Inmon, Data Vault and Wide Tables.

Feb 23

dbt Snapshots: the definitive guide

One of the most important questions that any analytics-focused company should strive to answer is “How has my data changed over time?” dbt provides a simple solution addressing this exact problem called dbt snapshots.

Feb 17

dbt Cloud: 4 reasons for data teams to embrace it

The biggest benefit that dbt Cloud offers to data teams and analytics engineers? Freedom from distractions, and the ability to focus where you can add unique value making sense of your company's data.

Dec 21

How Datadog operationalizes their data warehouse to supercharge their business teams

In conversation with Romoli Bakshi, Engineering Team Lead at Datadog who walks us through the process her team follows to operationalize their data warehouse in order to supercharge their business teams.

Nov 16

The future of warehouses and customer data - software engineering daily

Tune in to this episode from the Software Engineering Daily podcast where one of our founders talks about the future of warehouses, what we're building, and the customer data ecosystem as a whole.

Nov 4

How to monitor customer usage in Slack via SQL

The Slack integration on Hightouch enables you to pull the resources and metrics important to your business via SQL and then get notified when these resources and metrics change, right within Slack of course!

Nov 4

Syncing custom objects and fields from your data warehouse to HubSpot

We use and love HubSpot and so do our customers and therefore we decided to draft this guide that walks you through the process of syncing custom objects and fields from your Data Warehouse to HubSpot.

Nov 4

Identity resolution in SQL

What is identity, and how does it relate to customer data? Identity can have many different meanings but essentially, it involves unifying different pieces of data about your customers. Read on to learn more.

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