Tag: Data Warehouse
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What is dbt and How to Use It?
In modern data engineering workflows, the transformation step of the ELT process has become increasingly critical. This is where dbt (data build tool) comes in. dbt is an open-source tool that enables data teams to transform data in their cloud data warehouses using just SQL and a bit of YAML. Rather than relying on traditional…
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ETL vs ELT: What’s the Difference and When to Use Each?
In the world of modern data engineering, two common approaches for data integration dominate the conversation: ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform). Although the acronyms look similar, the difference in execution and architecture is significant. Choosing between ETL and ELT depends on the data sources, target systems, performance needs, and the tools…
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Understanding the ETL Process: Extract, Transform, Load
The ETL process—short for Extract, Transform, Load—is a foundational concept in data engineering and business intelligence. It is the process of moving data from multiple sources into a centralized system such as a Data Warehouse (DWH), where it can be analyzed and used for reporting, decision-making, or machine learning. Below, we’ll break down the ETL…
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What is a Data Warehouse (DWH)? A Developer-Friendly Introduction
In today’s data-driven world, businesses rely on accurate and timely insights to make decisions. But as data grows in volume, variety, and complexity, storing it in transactional systems like relational databases is no longer enough. This is where Data Warehouses (DWH) come into play. A Data Warehouse is a centralized repository designed for storing and…