The DataOps Certified Professional (DOCP) is a globally recognized certification designed to validate practical expertise in DataOps principles, tools, and automated data pipeline management. Overview DOCP covers…

What is DataOps? DataOps is an organizational practice (people + process + platforms) that applies DevOps and agile principles to the end-to-end data lifecycle—from ingestion and transformation…

Databricks Account Console Databricks Lab – Create an Azure Databricks workspace Databricks: Set Up Metastore & Map Azure Storage Account with Access Connector, Enable Unity Catalog Databricks…

Introduction In Databricks, identities (users, groups, service principals) live at the account level and can be assigned to one or more workspaces. For Unity Catalog (UC), principals…

Introduction Hard-coding credentials (DB passwords, API tokens, SAS keys, hosts) in notebooks or jobs is risky. In Databricks you store them as secrets inside a secret scope,…

Introduction Today we’ll cover four production patterns for Delta Live Tables (DLT): Truncate-Load table as Source for Streaming Tables (with skipChangeCommits) Problem: Your upstream system truncates a…

Here’s a complete, hands-on tutorial for DLT Data Quality & Expectations — including how to define rules, use warning / fail / drop actions, and monitor a…

Introduction Goal: Build a CDC-ready dimension pipeline in Delta Live Tables (DLT) that supports: Core ideas you’ll use What we’ll model How to build SCD1 or SCD2…

Pass parameters in a DLT pipeline | Generate tables dynamically This hands-on guide shows how to: We’ll build on your earlier DLT pipeline (Orders + Customers →…

Delta Live Tables (DLT) Internals & Incremental Load Part 2: Add/Modify Columns | Rename Tables | Data Lineage This tutorial walks step by step through advanced Delta…

Introduction Goal: Build a Delta Live Tables (DLT) pipeline that: What DLT gives you (why declarative matters): What we’ll build: What is Delta Live Tables (DLT)? How…

Here’s a step-by-step tutorial with deep explanations + examples: 📘 Medallion Architecture in Data Lakehouse (Bronze, Silver, Gold Layers with Databricks) 1. 🔹 Introduction In a Data…

🚀 Databricks Auto Loader Tutorial (with Schema Evolution Modes & File Detection Modes) Auto Loader in Databricks is the recommended way to ingest files incrementally and reliably…

1. 🔹 What is COPY INTO? 👉 For millions of files or complex directories, use Autoloader instead. 2. 🔹 Setup: Managed Volume & Input Files Now we…

1. 🔹 Introduction to Workflows 2. 🔹 Jobs UI Overview When creating a job: 3. 🔹 Creating a Job (Example: Process Employee Data) Workflow: Notebook Setup 4….

Perf 1. 🔹 Why Policies and Pools? These features are critical in enterprise Databricks deployments to enforce compliance, control costs, and improve performance. 2. Custom Cluster Policies…

1. What is Compute in Databricks? 2. Types of Compute in Databricks 🔹 All-Purpose Compute 🔹 Job Compute 🔹 Serverless Compute (coming in preview/GA by region) 3….

Perfect — this transcript is about Databricks Notebook Orchestration and how to parameterize/run 1. Introduction Databricks notebooks can be parameterized and orchestrated like workflows.You can: 2. Setup:…

🔹 1. Introduction In Databricks, you often need to interact with: 👉 For these tasks, Databricks Utilities (dbutils) provide built-in helpers. Key points: 🔹 2. What is…

🔹 1. Introduction In Databricks, we usually store tabular data in Delta tables (structured data).But what about: 👉 For these, Databricks introduces Volumes, which provide a governed,…