The Data Channel
"The Data Channel”, your go-to destination for unraveling the mysteries of the ever-expanding data universe. In an era where information reigns supreme, understanding the intricacies of data and its related technologies is not just a skill but a necessity. Whether you’re a seasoned data enthusiast, a budding analyst, or someone simply curious about the transformative power of information, this blog aims to be your compass in navigating the dynamic world of data.
Join us at “The Datapedia” as we navigate the exciting intersections of data engineering, data science, and the ever-evolving landscape of cloud platforms. From foundational knowledge to advanced techniques, our mission is to make the complexities of these technologies accessible to all. Embark on this data odyssey with us and discover the limitless possibilities within the data spectrum.
Теорема CAP для инженеров данных | Концепции проектирования систем
Доступность для инженеров по данным | Концепции проектирования систем
Введение в хранилище функций: Топ-10: Сертифицированный инженер машинного обучения Databricks
Масштабируемость для инженеров данных | Концепции проектирования систем
Конвейер разработки функций сборки: Топ №9: Сертифицированный инженер машинного обучения Databricks
Прокси и обратный прокси для инженеров данных | Концепции проектирования систем
Data Imputation and Transformation- Top #8:Databricks Certified Machine Learning Engineer- Associate
Балансировка нагрузки для инженеров по обработке данных | Концепции проектирования систем
Стандартизация данных — Топ №7: Сертифицированный инженер машинного обучения Databricks — ассоции...
API Rest и GraphQL для инженеров данных | Концепции проектирования систем
Веб-перехватчики для инженеров данных | Концепции проектирования систем
🔥 Представляем Databricks One | Простой способ предоставить данные и ИИ каждому бизнес-пользователю
API Gateway for Data Engineers | System Design Concepts
APIs for Data Engineers | System Design Concepts
🚀 Data is the Fuel 🛢️ that powers AI | The Secret Behind Smarter Machines 🤖
🚀 Top 5 Kafka Use cases | Data Engineering Core Concepts
Data Encoding- Top #6: Databricks Certified Machine Learning Engineer- Associate
🚀 Normalization vs Denormalization | Pros, Cons&Real-World Examples | Data Engineering Core Concepts
Partitioning vs Bucketing vs Clustering – What Every Data Engineer Must Know!
Row based vs Columnar Storage | Data Engineering Core Concept
Change Data Capture | Data Engineering Core Concept
What Makes Data "AI Ready"?
Data imputation- Top #5: Databricks Certified Machine Learning Engineer- Associate
Module 2-Data Preparation and Feature Engineering- Fundementals
Load and Explore Data- DEMO-Data Preparation for Machine Learning
Module 1-Data Preparation for Machine Learning: Managing and Exploring Data
Databricks Certified Machine Learning- Associate: #1 Introduction
Bullet proof your data with 6 Data Quality dimensions
Databricks Delta Live Tables(DLT) with Demo
Databricks Architecture Center | Best Practices & Reference Architectures