Data Observability and Orchestration for Databricks [Orchestra]
CEO of Orchestra Hugo Lu sits down with Youssef Mirni to discuss all things Orchestration and Visibility for the Databricks Lakehouse, and how Orchestra augments features like databricks workflows to turn it into an end-to-end Dat and AI Platform

▶︎
Orchestration Made Easy with Databricks Workflows

▶︎
Databricks architecture - how it really works

▶︎
Build a Data Platform from scratch (Airflow 3.0, Databricks, Kubernetes)

▶︎
What is Databricks? The Story Behind the Modern Data Platform (Visual Explanation)

▶︎
Google BigQuery and dbt Cloud Quickstart: Full Setup Guide

▶︎
Top 10 Data Orchestration Tools in 2026 | Orchestration Tools Completely broken down

▶︎
How to Create Databricks Workflows (new features explained)

▶︎
#25 What's Next for Orchestration and Observability in 2024

▶︎
Learn ETL Pipelines in Databricks in Under 1 Hour | Data Engineering in Databricks

▶︎
How Comcast Effectv Drives Data Observability with Databricks and Monte Carlo

▶︎
How Monte Carlo Built A Data Reliability Platform On Snowflake

▶︎
Learn Databricks in Under 2 Hours

▶︎
Apps on Databricks: Build Data Applications on Databricks in 20 Minutes!

▶︎
Snowflake Vs Databricks - 🏃♂️ A Race To Build THE Cloud Data Platform 🏃♂️

▶︎
Inside Experian’s Modern Data Stack (Snowflake ❄️ + Orchestra 🚀) | Data Architecture Series

▶︎
Intro To Databricks - What Is Databricks

▶︎
When You Try To Be Microsoft…The Fall Of Salesforce

▶︎
Beyond Monitoring: The Rise of Data Observability

▶︎
Advancing Spark - Multi-Task Databricks Jobs

▶︎
