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Designing Data-Intensive Applications

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Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What ... Read more

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Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patternsKey FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a practical way to implement Data Lakehouse using cloud computing platforms like AzureCombine multiple architectural patterns based on an ... Read more

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臺灣數據百閱—100個重要議題，從圖表開啟對話、培養公民思辨力

by Re-lab團隊 ...

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Recommended For You

Programming eBooks

Designing Data-Intensive Applications

Fundamentals of Software Architecture

Deciphering Data Architectures

Managing Data as a Product

Fundamentals of Data Engineering

Making Futures Work

Think Stats

The AI Instinct

Artificial Intelligence for Business

Creating a Data-Driven Organization

Learn Kotlin for Android Development

Introduction to Compiler Design

Guide Complet iPhone 17 : Tous les Modèles Couverts

Head First Data Analysis

Dataclysm

Inteligencia Artificial: Chatgpt Práctico para Empresas

Learning SQL

Modern Compiler Implementation in C

Data Lakehouse in Action

Outnumbered

A BIM Professional's Guide to Learning Archicad

臺灣數據百閱—100個重要議題，從圖表開啟對話、培養公民思辨力

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