Articles by Tag #datawarehouse
Browse our collection of articles on various topics related to IT technologies. Dive in and explore something new!
Yellowbrick Data - Community Edition Blog
About the Author Hi, I’m Pratik. I’m a software engineer at Yellowbrick, where I’ve spent...
Data Mesh vs Data Fabric, Lake & Warehouse: A Comparison (2025)
Organizations today have a tough time handling their huge, complicated data ecosystems. The demand...
Data Warehouse vs Data Lake vs Data Lakehouse: Technical Guide (2025)
Think about it—a huge part of your life is now recorded in tiny digital breadcrumbs. That selfie you...
(I) Principles of Data Model Architecture: Four Layers and Seven Stages
Handbook of Emerging Data Lake and Warehouse Design and Practice · Data Lake and Warehouse Modeling...
XLTable: Bringing the OLAP Experience Back to Excel on Modern Data Warehouses
How XLTable combines Excel, OLAP principles, and modern columnar databases like ClickHouse, BigQuery, and Snowflake.
🏦 OLTP vs. OLAP: Why One Database Isn't Enough
If you’ve ever wondered why companies don't just run their big data reports directly on their...
A Practical Guide to Data Architecture: Real-World Use Cases from Lakes to Warehouses
In today’s data-driven world, choosing the right architecture is crucial. This article compares Data...
Snowflake RBAC 101 – Episode 2: Role Hierarchies & Least Privilege
Goal: Avoid giving ACCOUNTADMIN to everyone and build clean role structures. Why Role...
Star Schema: The Data Warehouse Hack So Simple, Experts Hate It
Let’s cut through the jargon: a star schema is the easiest, most badass way to build a data...
Data Warehouse Optimization: Cut Costs, Boost Performance
In today's data-driven enterprise landscape, the data warehouse has become the backbone of analytics,...
Building a Modern Data Warehouse in SQL Server with Medallion Architecture
A data warehouse is essential for consolidating and transforming data from multiple sources into...
🧊 Snowflake RBAC 101 – Episode 3: Ongoing Access Management
Goal: Keep RBAC healthy, auditable, and secure over time. Why Ongoing Management is...
🔄 ETL vs ELT: What’s the Difference and Why It Matters?
When I first started learning data engineering, I kept hearing two terms: ETL and ELT. At first, they...
"Data Warehouses: The Silent Powerhouse Your Boss Doesn’t Understand"
Picture this: mountains of transactional data piling up in your company’s systems—sales, clicks,...
Designing ETL Applications with Production and Disaster Recovery in Mind
Designing ETL Applications with Production and Disaster Recovery in Mind When you're...
Understanding Data Warehousing for Retail Analytics: A Comprehensive Guide
What is it? A data warehouse is a central store used for managing large volumes of...
Star Schema vs Snowflake in 2025: The Final Verdict
Modern data warehouse design principles that will shape your architecture decisions As we navigate...
Study Note DE Zoomcamp 3.1.1 - Data Warehouse and BigQuery
Introduction This lecture covers data warehouses, with a focus on BigQuery. Topics...
What is Data Mart?
A data mart is a structure/access pattern specific to data warehouse environments. The data mart is a...
2025 Data Warehouse Benchmark: What BigQuery, Snowflake, and Others Don’t Tell You
We Benchmark-Tested 5 Data Warehouses. Here's What Broke. Choosing a data warehouse...
Apache SeaTunnel Hive Deep Integration Guide: Principles, Configuration, & Practice
In a complex big data ecosystem, efficient data flow and integration are key to unlocking data...
(Ⅱ) A Complete Guide to Core Data Warehouse Design Standards: From Layers, Types to Lifecycle
“Emerging Data Lakehouse Design and Practice Handbook · Data Lakehouse Modeling and Naming Standards...
Data Warehouse vs. Data Lake vs. Data Lakehouse: A Dev's Guide to Data Architecture
Whether you're a data engineer or a backend developer building pipelines, you’ve probably heard these...
Slowly Changing Dimensions (SCD)
Slowly Changing Dimensions (SCD) are a fundamental part of Dimensional Data Modeling, particularly in...
Data Warehousing vs. Data Lake: Which One Fits Your Analytics Strategy
🏗️ Data Warehousing vs. Data Lake: Which One Fits Your Analytics Strategy? As...
Data Warehouse: Exploring Key Components and Architecture
1. Defining a Data Warehouse A data warehouse is a centralized repository designed specifically to...
Chapter 5: The Unified Data Blueprint – Architecting Your Data Warehouse
Ever feel like your business is drowning in data but starving for wisdom? 🤔 You're not alone! Making...
Optimize Your Business Analytics with Advanced Data Pipeline and Warehouse Solutions
Unlock the power of data pipelines and warehouses to streamline real-time processing, ensure seamless...
Bold Data Hub: Effortlessly Migrate and Optimize Billions of Rows
Managing and analyzing large datasets, like those containing billions of records, can be a daunting...
Data Warehouse Service: Transforming Your Business with Scalable and Efficient Data Solutions in 2026
In the modern business landscape, data is often considered the new oil. The ability to harness vast...