The Curious Engineer

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Hex

hex.tech/blog

Data team revelations and other news

DatabasesAI / ML

’20’21’22’23’24’25’26
Posts
406 from 22 Jun 2020 to 21 Oct 2026
Posting
weekly (62 in the last year)
Kind
company blog

2026 52

  1. Meta joins the pack
  2. Before you build that data agent, I have notes.
  3. Hill climbing to glory: using evals to cut AI errors 7x
  4. 6 best BI tools for RevOps teams in 2026
  5. You don't need to migrate those 300 dashboards
  6. The AI data sprawl
  7. Best Self-Service BI Tools for Business Users (2026)
  8. Best BI tools for data visualization (2026)
  9. Introducing: Generative Chart Controls
  10. Your next BI tool shouldn't be a BI tool
  11. Introducing DataBench
  12. Context in Analytics: Turning Raw Data Into Actionable Insight
  13. Introducing Evals
  14. Caching is all you need
  15. Trust used to be implied
  16. Accuracy and AI analytics: How the best data teams obsess over context
  17. The life and times of data teams in the AI era
  18. Building semantic models in Hex: A playbook for governed & trustworthy metrics
  19. Kimi K2.7 in Hex: Opus-level Analytics at a Fraction of the Cost
  20. What You Need to Know About Tableau Next in 2026
  21. Best Analytics Tools for Non-Technical Teams in 2026
  22. Introducing Agent Tasks
  23. A Guide to Data Transformation
  24. Ad Hoc Queries: Definition, Benefits & Best Practices
  25. 6 Data Cleaning Tips Before Visualizations
  26. 6 Behavioral Segmentation Examples For Data Teams
  27. What Is Drill-down Analysis? How It Works And When It Breaks
  28. Feature Engineering in Data Science: A Complete Guide
  29. Why Hex's customer team moved from Account 360 to Threads
  30. Your code knows things your warehouse doesn't
  31. 6 examples of business intelligence (BI) in the retail industry
  32. AI Analytics Adoption Risks: 7 Pitfalls to Avoid
  33. Introducing Generative Data Apps
  34. Building Topic Discovery into the Hex Context Agent
  35. Data-Driven Change Management Guide
  36. Introducing Context Suggestions
  37. What Is Model Drift? Causes, Detection, and How to Fix It
  38. Introducing the Hex CLI
  39. Introducing: Pure Glass
  40. Projects as Context: Hex Now Learns From the Work You Already Built
  41. Context-Aware AI in Analytics: Useful Answers vs Confident Guesses
  42. The AI Analytics Platform
  43. Building Trust in AI Analytics: Strategies for Data Teams
  44. What's left for analysts when agents do everything?
  45. 7 Data Analysis Techniques: A Practical Guide
  46. Machine Learning Failure Modes: Why Production Models Break
  47. The data team's guide to generative AI analytics
  48. What is overfitting? Causes, detection & prevention
  49. 16 tips for enhancing data literacy skills for everyone
  50. Enterprise AI Governance Framework for Data Teams
  51. See how teams use Hex to test delivery pricing, build semantic models, and monitor fundraising-ready finance metrics.
  52. What are data apps? Types, uses, and how they work

2025 41

  1. What is data trust? definition, pillars & how to build it
  2. The market is noisy. Pipeline intelligence can help.
  3. What is embedded analytics? Types, architecture & uses
  4. What is operational analytics?
  5. What are data pipelines? How they work & how to choose
  6. Jupyter Notebook vs. JupyterLab: Complete comparison
  7. Hex in the Wild: November 2025 spotlights
  8. Your data team is too slow and accuracy won't save you
  9. Data Apps vs Dashboards: What Changed After a Decade in Analytics
  10. How context engineering makes or breaks AI-driven self-service
  11. How I used Hex’s AI to get fully up to speed on our sales data
  12. Improving the Notebook Agent: Error Clustering
  13. Self-serve analytics is finally real (and that's terrifying)
  14. Why Being Data-Driven is Slowing You Down
  15. Hex in the Wild: October 2025 Spotlights
  16. Bitter lessons building AI products
  17. What is agentic analytics?
  18. Fall 2025 Launch: Agents, for analytics, for teams
  19. Introducing Databricks UC Metric Views integration
  20. How to Work with Hex's Notebook Agent: A Prompting Guide
  21. Supporting the Open Semantic Interchange
  22. Boost Data Efficiency with Metrics, Frameworks & Hex
  23. Track customer retention metrics that matter
  24. AI is changing how our data team works, and that’s great
  25. How Successful Enterprise Teams Do Data Governance: 10 Best Practices
  26. Your ultimate guide to modern data science workflows
  27. How Top Data Leaders Tackle Governance, Trust & Semantic Layers
  28. Build a Data Governance Framework That Actually Works
  29. Build a data app that answers questions about your customers.
  30. A complete guide to cloud modern data architecture
  31. Product analytics blueprint for data-driven growth
  32. Snowflake Summit 2025 recap
  33. Build a data collaboration culture that drives results
  34. I'm sorry, but those are vanity evals
  35. Introducing Hex Embedded Analytics
  36. Introducing: ✨Magic Data Enhance
  37. Introducing a preview of Ask Magic in Explore
  38. MCPs: What they are and how you can use them with Hex's API
  39. How Notion, HubSpot, and Ramp data teams think about ROI
  40. hex cortex overview, all your questions answered
  41. Announcing: Hex’s Consulting Partnership Program

2024 21

  1. How healthcare and life science data teams are juggling self-serve and complex analytics
  2. Introducing Advanced Compute Profiles
  3. Get alerts for metrics you care about
  4. Ian Macomber, Ramp: How a data team drives influence
  5. Tristan Handy: dbt's Evolution
  6. Tony Avino: How HubSpot keeps data updated and trusted
  7. Evaluating data tools for first-class security practices: A checklist
  8. How Recursion’s data team accelerates drug discovery
  9. The future of analytics is multi-modal
  10. Unleashing the Power of Calculations in Hex: New Use Cases and Input Parameters
  11. Building ML Models In Minutes With Hex and Snowflake ML Functions
  12. ClickUp Operationalizes Churn Predictions
  13. snowpark under the hood
  14. Modern Treasury Unlocks Data Exploration
  15. Reviews: A Better Way to Work Together
  16. How to Boost Collaboration between Product and Data teams
  17. Modernizing Jupyter workflows with Hex + Snowflake
  18. Deploying ML models to Snowflake with Modelbit and Hex
  19. Faster and Better Insights: Building a Big-Picture Data Team at StubHub
  20. Focusing your data team on what matters most
  21. Six Reasons Hex and Snowflake Work Great Together

2023 23

  1. Using On-Demand GPUs to Build and Deploy ML Models with Hex and Modelbit
  2. Eutelsat OneWeb’s Journey with Snowflake and Hex
  3. Unveiling patterns in unlabeled data with k-means clustering
  4. Using Autoencoders for Feature Selection
  5. Introducing Hex 3.0
  6. How To Use Univariate Analysis in Your Data Exploration
  7. Exploring Data in Jupyter with Python and Pandas
  8. Comprehensive Guide to Visualizing Data with Matplotlib, Plotly, and Seaborn
  9. Automating Reporting at Algolia
  10. Hex + Google: Analytics and Data Science in the Cloud
  11. The Poles of Brand Inaccessibility
  12. The boundless demand for insight
  13. Introduction to dimensionality reduction
  14. Hex + Snowpark Container Services: Secure Analytics and ML for Enterprises
  15. A Comprehensive Guide to Natural Language Processing Algorithms
  16. Apache Iceberg and Hex
  17. Magic, for everyone
  18. Connecting to and querying SQL Server with Python
  19. Hex + Snowflake: Notebooks in the Cloud
  20. Beyond linear notebooks
  21. Data, magic, and some more money stuff
  22. Metrics layers: past, present, future
  23. Introducing VegaFusion 1.0: now a Hex OSS project

2022 18

  1. What does it mean to build a self-service analytics infrastructure?
  2. A Guide to Exploratory Data Analysis in Python
  3. How to do Funnel Analysis with SQL and Python
  4. Connecting to and querying MySQL from Python
  5. Connecting to and querying BigQuery from Python
  6. Q&A with Bluecore’s Data Team: Part 2
  7. How to Get Your Data From Postgres to Snowflake
  8. Announcing: Orchestration integrations and the Hex public API
  9. Getting the most out of dbt docs
  10. Stop using so many CTEs - Blog | Hex
  11. Connecting to and querying Redshift from Python
  12. Bringing data notebooks into the cloud era
  13. Version Control for Notebooks: Sync Hex With GitHub | Hex
  14. SQL Notebooks > SQL Runners
  15. Data, Knowledge, and our Series B
  16. An interview with Dr. Melodie Kao, Part 2
  17. Planning a Modern Datathon
  18. Hex Everywhere

2021 5

  1. Our $16M Series A
  2. Hex 💜 dbt
  3. Hex 2.0: Reactivity, Graphs, and a little bit of Magic
  4. Introducing: Dataframe SQL
  5. An interview with Mona Khalil, Data Scientist at Greenhouse

2020 3

  1. On Software, Ships, and Shipping Incrementally
  2. Don’t Tell Your Data Team’s ROI Story
  3. Long Live Code

Undated 243

  1. Patterns using time series visualization
  2. Snowpark integration polyglot
  3. Dbt partnership
  4. Snowpark ama
  5. Friends of data melodie kao 1
  6. Is hex bi
  7. Query sql database pandas
  8. Why hex doesnt require an ai add on
  9. Exploratory product analysis for product and engineering teams
  10. Snowpark hex
  11. Collections at hex
  12. Nick hardy ro
  13. Enterprise data governance
  14. Building a builder
  15. Welcoming hashboard
  16. Pipeline forecast data app
  17. Comparing density based methods
  18. Table display cells
  19. Cloud analytics
  20. Tactics for credit efficiency in hex
  21. Hex connector in claude
  22. Ai data analytics governance best practices
  23. Fed for a day
  24. Ai bi tools
  25. Data driven decisions with kpi dashboards
  26. Magic support for claude on snowflake cortex
  27. We got rid of our ai product team
  28. How ai analytics helps with support decisions
  29. Llms bridging gap for self serve analytics
  30. Data governance
  31. Series c
  32. Introducing context studio
  33. Introducing no code cells
  34. Jupyter alternatives
  35. Future of self serve
  36. Data manager
  37. Explore new features
  38. Logistic regression
  39. Effective context engineering for ai agents
  40. What is an ai gateway
  41. Hipaa multi tenant
  42. Snowflake summit caitlin
  43. Tableau alternatives
  44. Dont be naked when the agents arrive
  45. Credits and usage visibility for hex agents
  46. What is ai for data analysis
  47. Product metrics that drive growth
  48. Product metrics
  49. Introducing semantic model sync
  50. Brex coinbase gusto data team roi data team ai
  51. Sentiment analysis
  52. Notebooks modern data stack
  53. Marketing attribution data app revenue tracking
  54. Pipeline questions answered in minutes
  55. Cohort analysis
  56. Introducing saved views
  57. New chart cells
  58. Churn analysis
  59. Databricks integration
  60. Theres no place like home
  61. Hex nyc hackathon recap
  62. Hex at alltrails
  63. Ab testing
  64. Exploratory data analysis
  65. Scaling hierarchical clustering
  66. Data warehouse architecture
  67. Myth of data team roi
  68. Infinite demand for insight
  69. Product feature analysis
  70. From dashboards to decisions
  71. Destination engineer
  72. One business question three analytics workflows
  73. Mcp client
  74. Semantic modeling
  75. Ai in business intelligence
  76. What is self serve analytics
  77. Hex for analytics engineers hex pr review
  78. May 2021 latest and greatest
  79. Shadow ai governance
  80. Snowflake summit recap 2024 hex ai partner of the year
  81. Coalesce 2023 recap
  82. How kong is scaling analytics with hex
  83. Dashboards dead
  84. Dbt semantic layer integration
  85. We took down production
  86. Best teams use notebook agent
  87. Context exhaust
  88. Storytellers and system builders
  89. State of data teams 2025
  90. What is cohort analysis
  91. I tried to vibe code hex
  92. Notebook agent updates
  93. Stationarity in time series
  94. What is underfitting
  95. Hex greenflash
  96. Introducing agent in slack and mcp
  97. Tableau vs power bi
  98. Knowledge library
  99. Data quality monitoring
  100. Detecting seasonality through autocorrelation
  101. Customer health data app account 360
  102. Conversational analytics
  103. Data workflow
  104. New tools for a more organized workspace
  105. Sharing gap
  106. Introducing explore
  107. Foreword for effective data analysis
  108. Talking data chris moffitt interview
  109. Get the most out of your snowflake data investment
  110. Friends of data daniel sternberg
  111. Christian kleinerman snowflake
  112. Ai layers
  113. Predictive lead scoring python
  114. Writing first dbt package
  115. Global hackathon winners
  116. Magic ai
  117. How to build a dashboard in python
  118. Soc 2 type ii for you
  119. Introducing semantic authoring
  120. Overfitting model impact
  121. Introducing snowflake semantic sync aisql
  122. Sf public data hackathon
  123. How data teams are using ai ramp
  124. Magic private beta
  125. Linear regression
  126. Data cleaning exploratory data analysis
  127. Rebuilding data warehouse with blue green deployment
  128. Introducing threads
  129. Introducing components
  130. Making ai charts go brrrr
  131. How candidly uses hex embedded analytics
  132. No code joins
  133. Best data modeling tools
  134. How to share jupyter notebooks
  135. Data governance framework for teams
  136. Linda tong hex board member
  137. Evaluating ai wrong
  138. Introducing notebook agent
  139. Data federation
  140. Spring release 2024
  141. What to watch snowflake summit 2025
  142. Announcing hex
  143. Data maturity model
  144. Data platform architecture
  145. How data leaders are using ai
  146. Best bi tools for databricks metric views
  147. Semantic ai
  148. Ai data literacy
  149. Donating vegafusion to vega community
  150. How gamechanger determined lifetime value
  151. Predictive analytics
  152. Snowpark data librarian
  153. Dimensionality reduction techniques
  154. What is embedded analytics
  155. Natural language bi
  156. Notion hex embeds
  157. Accessing data in jupyter with python
  158. Lazy dataframes
  159. Context engineering vs prompt engineering
  160. Data science maturity
  161. Data analytics ai adoption strategy
  162. Feature leakage
  163. Bi tools for bigquery
  164. Data literacy vs data fluency
  165. Power bi alternatives
  166. Hex in codex
  167. Semantic layers are fine
  168. Ai analytics is here
  169. How to write sql in pandas
  170. Hex in the wild april 2026 spotlights
  171. What is a data lakehouse
  172. Measuring feature success
  173. Friends of data tony avino hubspot test
  174. Accuracy agency matrix
  175. Bluecore qa
  176. Friends of data pedram navid dagster
  177. Shadow ai
  178. Self service analytics
  179. Hex app in chatgpt
  180. Collaboration changes everything
  181. Building a first touch attribution model
  182. Enterprise data governance framework
  183. Lead conversion in hex
  184. Building actionable metrics framework
  185. A pragmatic approach to live collaboration
  186. Hex for analytics engineers data transformation
  187. How om1 is advancing healthcare insights with hex and snowflake
  188. Notebook agent pricing analysis
  189. Natural language processing python
  190. Iterating in analytics
  191. Beginners guide to python notebooks
  192. Unspoken rules of data leadership
  193. Hex knowledge
  194. Why analytics agents break differently
  195. Data preprocessing steps python
  196. Cleaning text data
  197. Sql for data analysis
  198. What is data drift
  199. Data visualization techniques
  200. Ai business analytics
  201. Mcp vs cli
  202. Data orchestration
  203. How to choose an ai analytics platform
  204. Overfit vs underfit
  205. Text to sql chatbot
  206. Best bi tools 2026
  207. Context engineering best practices
  208. What is ground truth in machine learning
  209. Data analytics ai business growth
  210. Announcing clickhouse partnership
  211. Hex vs claude
  212. Ai sprawl
  213. Data preparation tools
  214. Cloned visualization team
  215. Looker alternatives
  216. What is business logic
  217. Stubhub figma reddit the new model for enterprise bi
  218. Data build tool
  219. Best bi tools for startups
  220. A letter to our next pm
  221. What is an ai analytics platform
  222. Training vs inference
  223. Ai for data teams boosting speed and impact
  224. Web search
  225. Fable evals
  226. Weirdos wanted
  227. Automated data validation
  228. Evaluate data agents
  229. Snowflake semantic views
  230. Etl pipeline
  231. How huckberry forecasts demand
  232. Introducing admin api
  233. Dbt partner of the year
  234. Ui virtualization
  235. No ai data scientist
  236. Curate workspace for explore
  237. Connecting snowflake python
  238. Collaborative analysis why you need it
  239. Detecting and remedying multicollinearity
  240. Dashboards were never the destination
  241. Jupyter kernel overview
  242. Sql data apps
  243. Product launch analytics