# Databricks Community watch Platform and governance posts from the Databricks Community Technical Blog, filtered and accumulated. Community posts are practitioner guidance, not product documentation; verify product claims against the linked official docs before relying on them. Source: [Databricks Community Technical Blog](https://community.databricks.com/t5/technical-blog/bg-p/technical-blog). ## Added 2026-08-18 - **[Triggered vs. Continuous Mode: A Deep Dive into Serverless Lakeflow Spark Declarative Pipelines](https://community.databricks.com/t5/technical-blog/triggered-vs-continuous-mode-a-deep-dive-into-serverless/ba-p/164327)** — Aug 10, 2026 One pipeline woke up every five minutes. The other stayed running. Using the same e-commerce streaming workload, median end-to-end data freshness improved from 4.0 minutes to 33 seconds, while P95 latency dropped from 9.3 minutes to just 60 seconds. Those resu - **[How to Build, Test, and Ship SQL Pipelines on Databricks](https://community.databricks.com/t5/technical-blog/how-to-build-test-and-ship-sql-pipelines-on-databricks/ba-p/164517)** — Aug 10, 2026 Spark Declarative Pipelines (SDP) give SQL developers a first-class ETL experience. It is purpose-built for SQL, and it handles batch as well as streaming. There is now a full dev loop for SQL pipelines: you can either author in the new Databricks pipelines ed - **[Building a Production LangGraph Agent on Databricks - NorthStar Brand Copilot](https://community.databricks.com/t5/technical-blog/building-a-production-langgraph-agent-on-databricks-northstar/ba-p/162634)** — Aug 10, 2026 We built NorthStar Brand Copilot, an AI assistant for brand managers and field-sales reps at a fictional multi-category CPG company (Snacks, Beverages, Personal Care). It's a LangGraph custom agent that routes each question to the right Databricks-native capab - **[Building Custom Apps on Lakehouse](https://community.databricks.com/t5/technical-blog/building-custom-apps-on-lakehouse/ba-p/164990)** — Aug 07, 2026 - **[Plug & Play: Zerobus Ingest Now Supports Apache Kafka® Compatible APIs (Beta)](https://community.databricks.com/t5/technical-blog/plug-amp-play-zerobus-ingest-now-supports-apache-kafka/ba-p/165102)** — Aug 07, 2026 Learn how to use your existing Apache Kafka producer clients to ingest data directly into your Delta lakehouse with new beta support for Kafka-compatible APIs. - **[Load Testing Databricks SQL Warehouses with JMeter — Part 3: Running and Analyzing Results](https://community.databricks.com/t5/technical-blog/load-testing-databricks-sql-warehouses-with-jmeter-part-3/ba-p/164554)** — Aug 05, 2026 - **[Load Testing Databricks SQL Warehouses with JMeter — Part 2: Concurrency and the Test Plan](https://community.databricks.com/t5/technical-blog/load-testing-databricks-sql-warehouses-with-jmeter-part-2/ba-p/164542)** — Aug 05, 2026 - **[Load Testing Databricks SQL Warehouses with JMeter — Part 1: Inputs and Configuration](https://community.databricks.com/t5/technical-blog/load-testing-databricks-sql-warehouses-with-jmeter-part-1-inputs/ba-p/164534)** — Aug 05, 2026 - **[Try the new Zerobus Rescue Column: Choose-Your-Own-Adventure Schema Management (Beta)](https://community.databricks.com/t5/technical-blog/try-the-new-zerobus-rescue-column-choose-your-own-adventure/ba-p/164413)** — Jul 29, 2026 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 temperature as "72F" instead of 72. You did not write that produc - **[From Experiment to Prod: LakeFlow Spark Declarative Pipelines Testing Blueprint](https://community.databricks.com/t5/technical-blog/from-experiment-to-prod-lakeflow-spark-declarative-pipelines/ba-p/164292)** — Jul 28, 2026 Part 2 of the testing blueprint: how to test SDP pipelines end-to-end. Decouple your logic for fast unit tests, then use pytest, the Databricks SDK, and Databricks Connect to run the real pipeline against ephemeral, isolated Unity Catalog schemas, all from you - **[Serve Tableau Reports Directly from Databricks SQL](https://community.databricks.com/t5/technical-blog/serve-tableau-reports-directly-from-databricks-sql/ba-p/164139)** — Jul 28, 2026 Connect Tableau to Databricks SQL to eliminate data warehouse sync pipelines, cut compute costs, and serve dashboards directly from your Lakehouse. - **[When Milliseconds Matter: Databricks Powers the Next Generation of Operational Workloads](https://community.databricks.com/t5/technical-blog/when-milliseconds-matter-databricks-powers-the-next-generation/ba-p/160921)** — Jul 27, 2026 Databricks redefined real-time data processing with Real-Time Mode (RTM) in Spark Structured Streaming, hitting sub-300ms P99 latency for mission-critical operational workloads. Lakeflow Spark Declarative Pipelines let both pro-coders and SQL/Python developers - **[One Pipeline, Any Destination: The ForEachBatch Sink in Spark Declarative Pipelines is now GA](https://community.databricks.com/t5/technical-blog/one-pipeline-any-destination-the-foreachbatch-sink-in-spark/ba-p/163780)** — Jul 24, 2026 A Spark Declarative Pipeline used to stop at the edge of the lakehouse. Streaming to a system with no first-party connector meant bolting a standalone Structured Streaming job onto the declarative one, and operating a second framework to do it. The ForEachBatc - **[Azure DevOps with Databricks DABs: Step-by-Step Integration Guide](https://community.databricks.com/t5/technical-blog/azure-devops-with-databricks-dabs-step-by-step-integration-guide/ba-p/141451)** — Apr 16, 2026 A practical CI/CD walkthrough using Declarative Automation Bundles, Databricks Git folders, Azure DevOps service connections, staged deployment, and production approvals.