Blog

AI tools meant to augment – not replace – human insight. Now in private beta.

Get data into pandas without downloading csvs

Why dbt Labs’ acquisition of Transform is great for data stacks

Infinitely scalable data visualization, with a more permissive license

Stop repeating yourself repeating yourself reaepting yuroslef rpaetnig ouylefs

Point-and-click visual filtering, an all-new chart cell, custom color palettes, and more

Learn how to prepare text data for NLP tasks

Learn how to classify the sentiment in a body of text

How Human Interest’s data team empowers stakeholders across the company to use analytics every day

What comes before sophisticated data analysis and modeling?

Announcing our partnership, product integrations, and how we’re changing data workflows for thousands of users

Compare versions of a product/service in order to observe which one performs the best.

Tracking user events, actions, and drop-off

Here’s what we learned and how you can avoid it

Querying one of the most commonly used databases from Python

A comprehensive guide on how to create dbt packages with working code examples, and an open-source repo that you can build from.

Analyze groups of customers to understand retention, predict churn, and find other patterns

A supercharged, collaborative, cloud-native way to notebook

Four steps to read data from your BigQuery warehouse directly into Python

Implementation of a binary classification algorithm in Python

We spoke about Bluecore’s revenue forecasting app, how the team prioritizes projects and measures success, reasons for adopting Hex, and more

A common algorithm used to find the best-fitting line between two or more variables

A new Metrics cell, dbt-flavored SQL in Hex, and more!

We spoke about Bluecore's data team and modern data stack, use cases for Hex, and more

Extracting from a production PostgreSQL database and loading into Snowflake

A simple and elegant way to deploy machine learning models

A New Way to Think About Data Roles

Turning your Python data visualizations into beautiful interactive dashboards

Enabling Exploratory Analysis with SQL & Python

Why data teams use notebooks, and how to get them up and running for coding and exploratory analysis

Trigger Hex apps right from Airflow and Dagster— or plug into the API and build something completely custom

How to build a lead scoring model that actually serves stakeholders

Leaving fragmentation, local files, and version control hell in the past

Two and a half ways to query Pandas DataFrames with SQL

Bringing all the power of dbt’s documentation site, straight into Hex

Four steps to read data from your warehouse directly into Python

Bringing together SQL, Python, and no-code in Hex’s magical notebooks

Why it's time to "break up" with your favorite SQL feature

Our tools for exploration and analysis are living in the past.

Learn how to read data from your Redshift warehouse directly into Python

Query mode, Chained SQL, and Python pushdown for everyone

Plus, Snowflake Partner Connect and Premier Partner status

Streamlining analytics engineering workflows with Hex

Announcing a new, richer way to embed data from Hex into Notion docs

Introducing an all-new way to version work in Hex

Streamlining analytics engineering workflows with Hex

Turning simple queries into impactful artifacts

SQL finally gets literate programming

Designing and engineering a new app layout engine from scratch

Data teams are still struggling to have impact.

Data teams are still struggling to have impact. We raised some money to help.

Why we're excited to partner with Databricks to power the next generation of analytics workflows

Part 2: Barriers to STEM equality and boundary setting

How to run a hackathon for data in the age of the modern data stack

Part 1: How a PhD astrophysicist thinks about data

Embedding cells and apps for fun and profit

High-impact data work isn’t just about churning out analysis; it’s about creating knowledge.

Why you should pair your powerful data warehouse with a collaborative data workspace

A more beautiful and useful way to visualize dataframes.

Some more money stuff, and our partnership with dbt Labs

Our new dbt integration and partnership with dbt Labs

Announcing a new, ✨ magic ✨ way to work with notebooks and build data apps

Why advanced data teams need both BI tools and flexible data workspaces

Security is our most important job. This report reflects how seriously we take our obligations for customer data.

Python or SQL? Why not both?

SQL IDE, Chart Cell, Scheduling, and more!

An interview with Mona Khalil, Data Scientist at Greenhouse

What we're doing, why we're doing it, and some money stuff

An interview with the author of Practical Business Python

Communicating data work is as messy as ever.

or: How I Learned to Stop Worrying and Love the Atomic Operation

The only path around the 2.0 tar pit is incrementalism - replacing a legacy platform through small, deliberate steps.

Next time you get asked to justify the ROI for your team, don't. Sit back, and let others tell the story for you.

Truly empowering users doesn’t mean getting rid of code, but embracing it.