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The complete guide to Composable Customer Data Platforms
Jul 12
Learn why you should stop focusing on metrics and why you should start tracking outcomes to measure the impact of your data team.
Learn what data enrichment is, why it matters, and how you can implement it today.
A look at why everyone seems to be learning dbt, and some practical tips on getting started
Learn about the future of Data Apps, the advantages and disadvantages, and whether or not they are here to stay.
Learn everything there is to know about Heroku Connect and why Reverse ETL is a better alternative.
Learn everything you need to know about API Integrations including API types, authentication, reading, writing, deployment, monitoring, and scheduling.
Learn how you can adopt configurable alerting across your entire data stack.
What is data ingestion? | The definitive guide
Learn what data ingestion is, why it matters, and how you can use it to power your analytics and activate your data.
Airflow alternatives: a look at Prefect and Dagster
We take a deep dive into Airflow, Prefect, and Dagster and the differences between the three!
ETL vs. Reverse ETL: the technical differences
Discover the technical differences between Reverse ETL and ETL/ELT and learn how they work behind the scenes.
Azure Synapse vs Snowflake: the definitive guide
Discover the key differences between Azure Synapse and Snowflake around architecture, pricing, security, compliance, data support, administration, data protection, performance, etc...
7 useful Zapier integrations or “Zaps”
Review 7 most useful Zapier integrations or "Zaps" and learn why Reverse ETL is a simpler solution.
The top 5 most useful Workato integrations & recipes
Review the top 5 Workato integrations and recipes and learn why Reverse ETL is a simpler solution.
The top 5 most useful Tray.io integrations & recipes
Review the top 5 Tray.io integrations and recipes and learn why Reverse ETL is a simpler solution.
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.
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.
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 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.
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.
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!
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 modeling: 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 modeling: the definitive guide - part 1
A guide on modern data warehouse modeling, exploring best practices from the community and famous modelling paradigms like Kimball’s Dimensional Modeling, 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.
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.
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!
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.
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.
