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
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 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%)
🧰 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
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
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
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
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
1. Introduction & Overview What is a Semantic Layer? A Semantic Layer is an abstraction layer that sits between raw data sources and end users or applications. It translates complex data structures into user-friendly, consistent business terms—effectively decoupling backend technical implementation from frontend consumption. In the context of DevSecOps, a Semantic Layer facilitates secure, governed, … Read more
🧩 Introduction & Overview What is a Metrics Store? A Metrics Store is a centralized system designed to collect, store, manage, and serve time-series performance and operational metrics from applications, infrastructure, and pipelines. In DevSecOps, it plays a crucial role in observability, compliance monitoring, anomaly detection, and continuous feedback. 🕰️ History / Background 🔐 Relevance … Read more