Data Processing


Data Processing and Information Technology
Data Management at Scale: Best Practices for Enterprise Architecture
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Data Mesh: Delivering Data-Driven Value at Scale
Designing Cloud Data Platforms
Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data
Making Sense of Stream Processing
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine
NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence
Cassandra: The Definitive Guide
Understanding Distributed Systems: What every developer should know about large distributed applications
Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services
Versioning in an Event Sourced System
A to Z GIS: An Illustrated Dictionary of Geographic Information Systems
Erik Pevernagie
What do we actually expect of our data processor? As our computers acquire interactive interfaces, voices, and adaptive behavior, we may be tempted to invest emotion in them, but they offer only simulation, which breeds intense irritation. It is like trying to love a mirror that won't love back. ("My computer does not understand me") ...more
Erik Pevernagie

Yuval Noah Harari
That’s the capitalist secret of success. No central processing unit monopolises all the data on the London bread supply. The information flows freely between millions of consumers and producers, bakers and tycoons, farmers and scientists. Market forces determine the price of bread, the number of loaves baked each day and the research-and-development priorities. If market forces make the wrong decision, they soon correct themselves, or so capitalists believe. For our current purposes, it doesn’t ...more
Yuval Noah Harari, Homo Deus: A History of Tomorrow

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