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Data Engineer turned Product; writes SQL for a living.
April 2026 product updates: AI Chat History, Bring Your Own LLM, Open Semantic Layer API, Dynamic Content Block, SCIM provisioning, and SSO enforcement.
March 2026 product updates: Chat to refine charts, cleaner field descriptions, mobile view configuration, email updates for embedded users, and Dynamic Content Block.
January 2026 product updates: Verify AI Answers, AI in Embed, simultaneous dashboard editing, Auto Field Mapping, Quick Filtering, dashboard component reuse, and faster saving.
December 2025 product updates: Context Control for AI, Embeddable AI, Default Dashboard Templates, Search by Description, Canvas Dashboards in Personal Workspace, and Calculation Builder improvements.
Numbers aren't all created equal; they fall into four distinct categories known as data scales. Understanding this, you'll learn how to handle each type correctly to make your data work for you.
How did Analytics-as-Code evolve? We explain the history behind the movement, and present the 4 levels of analytics as code over the years.
In actual business conversations, the metric's form is sometimes ignored and implicitly understood. Understanding this concept gives you much better clarity in dealing with metrics.
Why are so few data analysts get good at business problem-solving?
Data clinic is one of many ways you create value and drive your organization toward better data literacy. Here's how.
Investment analyst is an entry-level investment position. So is data analyst an entry-level data position, too?
A short story about my history with programmatic configuration (or lack thereof) and how it's related to analytics.
How a data person might fit into your company's learning cadence, and what that means for company performance.
Simple data people tricks, a hierarchy of feature stores, and Shreyas Doshi on product metrics.
How Amazon uses input metrics, a data pipeline is a materialized view, and the case against self-service data and analytics.
A quick look at what Snowflake's been up to re: the Data Lakehouse, an inside look at Amazon's data-driven decision making, and how Airbnb customized Superset to fit their needs.
The data lakehouse is a thing, Superset is also a thing, and how to make dashboards using a product thinking approach.
We're releasing The Analytics Setup Guidebook, a first-principles approach to data analytics. Get it free today!
Your embedded analytics dashboard in Holistics takes a long time to load, thus impacting your customers' experience. This post shows you how to optimize the performance of embedded dashboard by preaggregating the data.
Learn how to use this simple free tool dbdiagram.io to visualize your Rails ERD diagram, made by Holistics
Preparing for a data analyst interview can be intimidating. Learn a few tips to help you prepare your interview better.
How do you usually interview a data analyst candidates? In this article, I'll share some of the guidelines and areas you can focus on when interviewing a data analyst candidate. These serve as pointers to aid with your interview.
Why and how we built a multi-tenant job queue system for our B2B SaaS Application with PostgreSQL and Ruby