The Hightouch Blog - All

Why every tool in the Modern Data Stack needs Git

Leverage the power of software development and DevOps and implement the same best practices you use in your production code in the context of data integration with Git.

4 ways to operationalize your product usage data

Learn how you can leverage your product data in your GTM motion.

Preparing for a new era of advertising with a server-side first integration strategy

Learn what a server-side integration is, why it's worth focusing on now, and how you can leverage Hightouch to push your server-side event data to your different ad platforms.

SaaS integration: what it is & why it's important

Learn how SaaS integrations eliminate data silos and the available solutions in the market.

How to enrich Hubspot data in 6 steps

Learn How Hightouch can help you enrich your Hubspot data in 6 easy steps.

How to enrich Salesforce data in 6 steps

Learn How Hightouch can help you enrich your Salesforce data in 6 easy steps.

BigQuery vs Snowflake: the definitive guide

Discover the key differences between Google BigQuery and Snowflake around architecture, pricing, security, compliance, data support, administration, data protection, performance, etc...

Why Salesforce shouldn't be your source of truth

Learn how Salesforce creates data silos and why the data warehouse should be your source of truth instead.

A deep dive into Hex and the future of data apps

Learn about Hex, a collaborative data analysis platform, and the future of data apps built on top of the data warehouse

Looker Actions: the definitive guide

Learn everything about Looker Actions, how it automates workflows to take action on data, where it falls flat, and the alternatives for your data needs.

Matillion: the definitive guide

Learn everything about Matillion and Matillion Data Loader, how they offer ETL & ELT services to solve data integration problems, where they fall flat, and alternatives for your data needs.

The future of data integration: what iPaaS & workflow automation tools got wrong

Learn about the shortcomings of iPaaS/Workflow Automation solutions and why the future of data integration is declarative

Why every marketer needs SQL: interview with Fareed Mosavat (former Director of Product at Slack)

Fareed Mosavat (who has led product teams at Slack, Instacart, and Zynga) shares his experiences leveraging data to unlock product-led growth, barriers he had to overcome, and where he sees the space moving forward

Solving data's "last mile" problem with Reverse ETL and data observability

Discussing the latest standard in data: using your data warehouse to power business workflows (with Reverse ETL) and ensuring you can trust your data (with Data Observability).

Announcing Hightouch's SOC 2 Type II compliance

Hightouch has achieved SOC 2 Type II compliance for the security, availability, and confidentiality trust service principles.

Announcing Hightouch Audiences: enabling marketers to self-serve their data

Marketing teams should be able to build audiences and personalize campaigns: no engineering favors needed.

The definitive guide to product-led growth (PLG) CRMs

CRMs don’t work for Product Led Growth Companies: A definitive guide to PLG CRMs

Hightouch receives recognition as a Forbes Cloud 100 Rising Star!

We are honored to be included in the Forbes Cloud 100 Rising Stars list for 2021.

Hightouch partners with Dreamdata to operationalize your revenue attribution data

Our partnership with Dreamdata, a leader in B2B Revenue Attribution, empowers business teams to self-serve and operationalize customer data

Hightouch has raised a Series A!

We are proud to announce that we've raised a $12.1M Series A led by Amplify Partners and Bain Capital

The state of automated testing in the data warehouse

A deep dive into automated data testing, why it matters and the top tools to consider

Exploring data lineage with OpenLineage

In this post, we ask what is data lineage and take a detailed dive into OpenLineage and how it aims to unify metadata and lineage across tools to make data lineage easier to reason about.

What's the difference between Reverse ETL tools and Segment?

Trying to understand the differences between Reverse ETL and Segment? Find out here! We break down the key differences between the two technologies, so you can make an informed decision.

Announcing Hightouch's SOC 2 compliance

Hightouch has achieved SOC 2 Type 1 compliance for the security, availability, and confidentiality trust service principles.

The state of Reverse ETL: what operational analytics looks like today & beyond

A deep-dive into how companies are using Reverse ETL in to power their operational workflows

Using Hightouch and Slack to power sales ops workflows

Getting data from your Data Warehouse into Slack couldn't be easier. With just a few lines of SQL, you can start sending custom notifications to your teams in minutes.

Enabling sales teams by syncing product data into HubSpot

Learn how to grab product metrics from your product database and generate queries that will expose that data in Hubspot to enable your Sales teams

Automate your external reporting with the Modern Data Stack

With the right infrastructure, reporting can become truly routine. Even more than that, it’s a chance to demonstrate your value to the company and customers.

How to use customer data to personalize your marketing campaigns

Running a marketing campaign without any customer data is like shooting in the dark. Help your customers feel understood by personalizing your outreach using customer data in your favorite marketing tools

Introducing the live debugger

Introducing our Live Debugger, the latest feature that helps make Hightouch the gold standard for integration observability.

3 great ways to schedule a Hightouch sync from your existing workflows

We've got three great ways of integrating Hightouch with your existing workflows: Airflow Operators, dbt Cloud integrations, and Webhook APIs.

What is a data Lakehouse?

The Data Warehouse and the Data Lake both have their strengths and weaknesses. Like yin and yang, they often coexist within the same data stack and this has given rise to a hybrid category — the Data Lakehouse!

The definitive guide to pushing data from your EDW to Salesforce CRM

With the growing adoption of CRMs in large and small organizations, serving customer data to sales teams is a true competitive advantage. This guide outlines multiple ways for pushing data to Salesforce from your EDW.

Why data engineers should not manage dbt

dbt transformations are critical and should be owned by data analysts and scientists because they have the most context to make the data a lot more usable for business teams.

Data engineers shouldn't write Reverse ETL: a guide to building a happy data engineering department

This guide sheds light on the state of data engineering in 2021 as well as talks about the rise of Reverse ETL as a core component of the Modern Data Stack.

Modern data warehouse modelling: the definitive guide - part 2

This guide on modern data warehouse modelling explores the current sentiment toward Kimball as well as shines some light on Wide Tables and what the data community thinks of them.

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.

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.

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.