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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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AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these ... 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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A BIM Professional's Guide to Learning Archicad

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Stream Processing with Apache Spark

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Ethics of Big Data

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Neo4j: The Definitive Guide

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Deep Finance

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Series series Chapman & Hall/CRC The Python Series
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Recommended For You

Data Modeling & Design eBooks

Designing Data-Intensive Applications

Privacy Is Hard and Seven Other Myths

Building Medallion Architectures

Hands-On Large Language Models

Data Lakehouse in Action

Learning SQL

Outnumbered

A BIM Professional's Guide to Learning Archicad

The ultimate FreeCAD 1.0 User GuidE

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Visualizing Streaming Data

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Neo4j: The Definitive Guide

Think Clearly

Deep Finance

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