Building Custom Apps on Lakehouse
Every time you copy lakehouse data into an app-side database, you create another system to maintain, another copy to secure, and another pipeline to debug at 2 AM. But that is exactly what teams do wh...
Blog Articles
Plug & Play: Zerobus Ingest Now Supports Apache Kafka® Compatible APIs (Beta)
Today, we are introducing Beta support for Kafka-compatible producer API support in Zerobus Ingest. This is an incredible milestone for Zerobus, given the wide ecosystem built around Kafka. Take a ...
Load Testing Databricks SQL Warehouses with JMeter — Part 3: Running and Analyzing Results
Introduction This is the final part of a three-part series on concurrent load testing of Databricks SQL warehouses with Apache JMeter. In Part 1 we externalized our SQL queries and parameters, and in ...
Load Testing Databricks SQL Warehouses with JMeter — Part 2: Concurrency and the Test Plan
Introduction This is the second part of a three-part series on concurrent load testing of Databricks SQL warehouses with Apache JMeter. In Part 1, we externalized our SQL queries and parameter values ...
Load Testing Databricks SQL Warehouses with JMeter — Part 1: Inputs and Configuration
Introduction A single query that runs quickly in the SQL editor may not fully reveal how a warehouse behaves when many users query it concurrently. Under concurrent load, queries queue, contend for re...
[PARTNER BLOG] Evolving Metric Views: YAML, UI, Genie Code & Materialization
Table of Contents Understanding Metric Views What are Metric Views?UI + YAML: Two Layers, One DefinitionWhen to Use the UI and YAML Building Metric Views Visual Data ModelingMeasure BuilderPreview Beh...
Custom Visualizations in AI/BI Dashboards: Build a Pareto Chart with Vega-Lite
Databricks AI/BI dashboards ship with a solid set of visualization types. But every so often you want something the point-and-click widgets can't quite do. That's what custom visualizations (currentl...
Try the new Zerobus Rescue Column: Choose-Your-Own-Adventure Schema Management (Beta)
It is Friday afternoon. An upstream team ships a harmless-looking change: they add a region field to the events your service already emits, and somewhere along the way, a sensor starts reporting temp...
From Experiment to Prod: LakeFlow Spark Declarative Pipelines Testing Blueprint
Introduction In Part 1 of this series, Integration Testing for LakeFlow Jobs with Pytest and Databricks Connect, we built a blueprint for testing LakeFlow Jobs: deploy the job, trigger it from pytest,...
Serve Tableau Reports Directly from Databricks SQL
The Problem: One Too Many Warehouses Your Tableau dashboards hit a cloud data warehouse. Your data engineering team builds ETL pipelines in Databricks. And somewhere in between, you're paying to move,...
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