A new visual data exploration experience in Hex
Pedram Navid shares why enacting change matters more than being right and why building relationships with stakeholders is one of the most valuable skillsets in an AI-driven world.
How healthcare and life science data teams are juggling self-serve and complex analytics
Powerful compute to power data science and ML workflows
A new way to think about self-serve, analytics, and AI
Using a blue-green deployment approach
Curating your data for Explore makes everyone more productive
We’re building even deeper integrations with Cortex. Sign up in this blog for early access!
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... and open up a whole new world of insights for stakeholders.
Ian Macomber shares insights on how Ramp's data team supports rapid product development and drives influence across the organization.
As dbt continues to shape the data landscape, Handy shares his insights on the company's growth, product strategy, and vision for the future of data transformation.
We sat down with Tony to chat about data culture, measuring ROI for analytics engineering, governance, and career development strategies for his team.
Using DuckDB and Arrow to make multi-modal analytics fast
LTV clarified the "what" and "why" questions about churn
With a multi-modal analytics tool, there's less friction and more possibility.
With a strategic change in workflow
Perspectives from Daniel on data team structure, the balance of data vs. craft-based decisions and data team ROI.
Breaking the analytics Tower of Babel
Four ways calculations are empowering business users to slice, dice, and explore data themselves
And a flexible self-serve data app
We’re still supporting VegaFusion, but you can now find it under the official Vega umbrella
Clean up clutter and arrange your workspace to make it easier to find the best insights.
How we made AI charts generate 8x faster, going from an average response time of 10.3s to 1.3s.
Celebrating Being AI Partner of the Year and Reading Between the Lines of Enterprise AI
Spreadsheet Calculations, No-code Data Browser, Endorsed Statuses, faster AI, and more
Build machine learning models with SQL
How ClickUp moved from ad hoc to operational analytics, and impacted the bottom line.
What if we needed more data people, not fewer?
Dive into the workings of Snowpark and how it pertains to Hex's Snowpark integration
How one data team enables Engineering, Product and Design teams to explore their own data.
Get a second set of eyes on your work, and protect important projects, with Reviews.
Perform data science and analytics at any scale
New updates to Hex’s AI tools for data analysis
We brought the city's cleverest data people together to explore public municipal datasets
There’s no place like /home
Defining and testing an activation metric for product-led growth using an interactive data app.
A supercharged, collaborative, cloud-native way to notebook
Practical tips for getting the most out of your Snowflake data, from Snowpark to cost controls and picking the right exploratory workbench.
A simple and elegant way to deploy machine learning models
How can data teams balance operational efficiency and speed with quality and depth of data insights?
Magic should be free
How do you go from from reactive ticket-answering to strategic, decision-impacting data work?
Why you should pair your powerful data warehouse with a collaborative data workspace
Helping your engineers, product managers, and designers find their own business-impacting insights.
Using the Data Browser to improve and customize Hex Magic for your organization’s data.
Turning your Python data visualizations into beautiful interactive dashboards
On-demand GPUs, model training, and deployment.
Growth, Complexity, and Community
Navigating the Stars With Data Collaboration
Advancing data in healthcare, securely
Switch between SQL, Python, and visual cells while using a Snowpark dataframe
One arbitrary version number for Hex, one giant leap for data people
Highlighted questions and answers from a live joint Snowflake and Hex session
Learn how the computational engine for notebooks functions.
Behind-the-scenes look at how Hex built features that integrated with Snowflake.
How to use Hex, LangChain, and OpenAI to use natural language to query your database
How one data team transformed tedious, manual reporting tasks into seamless, automated workflows
Announcing our partnership with Google and how we’re enabling larger data workflows for thousands of users
Using modern data tools to discover modern opportunities for exploration
Product analytics on top of warehouse allows for deeper insights into activation, retention, and churn.
End to end tools make the modern analytics workflow faster
What coal and Jevons’ paradox tell us about AI and data
Or: this blog post has made $0
Practical examples of common dimensionality reduction algorithms in Python
Building an intuition around a common data science technique
Analyze, model, and explore datasets without having to move data outside of a secure and governed Snowflake account.
Query Iceberg tables and build interactive reports on top with Hex
Powerful AI assist for data, now in Public Beta
Elevate your decision-making process by turning raw data into actionable insights and strategic outcomes
Announcing our Elite Partner Status and how we’re speeding up data workflows for thousands of users
Using computers to programmatically understand and interpret human language
Curate your workspace with a flexible and powerful organizational framework
Reactive notebooks allow for better interpretability, reproducibility, and performance
Announcing our partnership with Sequoia
Why dbt Labs’ acquisition of Transform is great for data stacks
AI tools meant to augment – not replace – human insight. Now in private beta.
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
What comes before sophisticated data analysis and modeling?
How Human Interest’s data team empowers stakeholders across the company to use analytics every day
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.
Here’s what we learned and how you can avoid it
Analyze groups of customers to understand retention, predict churn, and find other patterns
A comprehensive guide on how to create dbt packages with working code examples, and an open-source repo that you can build from.
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
A New Way to Think About Data Roles
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
Bringing all the power of dbt’s documentation site, straight into Hex
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.
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
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.
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
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.
