Building the Pipes: Core Data Engineering Concepts Explained
The article discusses core concepts in data engineering, emphasizing its importance in modern businesses. It explains batch and streaming ingestion methods, highlighting their characteristics, pros, and cons. Additionally, it covers Change Data Capture (CDC) as an efficient way to manage data changes in real-time.
- ▪Data engineering involves designing systems for collecting, storing, and managing data for various business needs.
- ▪Batch ingestion processes data in large chunks at scheduled intervals, while streaming ingestion handles data continuously in real-time.
- ▪Change Data Capture (CDC) efficiently captures only the changes in a database, minimizing resource use and improving performance.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3713327) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Lawrence Murithi Posted on May 27 Building the Pipes: Core Data Engineering Concepts Explained #dataengineering Introduction Data engineering is the practice of designing and building systems for collecting, storing, transforming, and managing data so it can be safely used for reporting, analytics, machine learning, and making business decisions. Think of it as the behind-the-scenes work that makes apps, websites, and businesses function. Every modern company depends on data.
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