Databricks Feature Coverage Table (2025, Paid License)

Here’s a comprehensive, up-to-date table showing which of the features/technologies in your list are supported natively by Databricks with a paid license (as of 2025), and which require integrations or are only partially supported. Databricks Feature Coverage Table (2025, Paid License) Feature / Term Databricks Paid Support? Details / Notes ETL ✅ Full Support PySpark, … Read more

What is Data?

1. What is Data? Data is any collection of facts, values, or measurements that can be recorded, stored, and processed by computers or humans. 2. Types of Data Data can be classified in several ways. The most common are: A. By Structure Type Description Example Structured Organized in fixed fields/columns, like a table Databases, Excel … Read more

Complete Data Glossary & Terminology

Here’s a comprehensive glossary of all the key data platform, engineering, and analytics terms we discussed—including everything from your earlier questions and the expanded list. Each keyword includes a simple explanation. This will give you a full “cheat sheet” of modern data terminology. Complete Data Glossary & Terminology Keyword Meaning / Description Raw Data Sources … Read more

Step-by-Step Databricks Data Engineer Study Plan

Here’s a step-by-step learning plan that smoothly takes you from Associate-level foundations to Professional-level mastery for the Databricks Data Engineer certifications. This path combines theory, hands-on labs, and where to “go deeper” as you progress. 🛤️ Step-by-Step Databricks Data Engineer Study Plan (Associate ➔ Professional: Fully Linked) Step 1: Databricks Platform Foundations Step 2: Data … Read more

Data Engineer Professional Certification

Data Engineer Professional Certification Domains & weightings from official documentation (updated 2025) (Databricks, Whizlabs). Domain 1: Databricks Tooling (≈20%) Domain 2: Data Processing (≈30%) Domain 3: Data Modeling (≈20%) Domain 4: Security & Governance (≈10%) Domain 5: Monitoring & Logging (≈10%) Domain 6: Testing & Deployment (≈10%)

Data Engineer Associate Certification (July 25, 2025 version)

🧰 1. Data Engineer Associate Certification (July 25, 2025 version) Exam domains & weights are based on the updated guide published for exams taken on or after July 25, 2025 (). Domain 1: Databricks Intelligence Platform (≈10%) Domain 2: Development & Ingestion (≈30%) Domain 3: Data Processing & Transformations (≈31%) Domain 4: Productionizing Data Pipelines (≈18%) Domain 5: Data … Read more

Databricks Certifications

Here is the list of Databricks Certifications offered up to June 2025, based on official Databricks documentation and up‑to‑date industry sources (): 🏅 Core Certifications Data Analyst Data Engineer Machine Learning Developer / Specialty 🔹 Additional Specialty Accreditations (Badges) 📋 Certification Summary Table Certification / Badge Level Focus Area Data Analyst Associate Associate Databricks SQL, dashboards, … Read more

Databricks Learning Roadmap

Here’s a step-by-step roadmap to master Databricks and become an expert, covering both fundamentals and advanced concepts. Databricks Learning Roadmap (2025 Edition) 1. Fundamentals & Core Concepts 2. Data Engineering with Databricks 3. Data Science & Machine Learning 4. Advanced Analytics & SQL 5. Streaming & Real-Time Analytics 6. Administration, Security & Governance 7. Automation, … Read more

What is Databricks?

Databricks is a unified cloud-based data platform designed for big data analytics, data engineering, machine learning, and artificial intelligence (AI) workloads. It’s widely used by enterprises for processing, analyzing, and visualizing large datasets. Key Points About Databricks In Simple Words Where is Databricks Used? Example:Suppose a retailer wants to analyze billions of sales records to … Read more

📘 Tutorial: Data Democratization in DevSecOps

1. Introduction & Overview ✅ What is Data Democratization? Data Democratization is the process of making data accessible to non-technical users across an organization without needing help from IT or data teams. The goal is to empower all employees—whether in development, security, or operations—to make data-driven decisions quickly and securely. 🧠 Key Idea: Everyone should … Read more