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Designing Data-Intensive Applications

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"You Are Not Expected to Understand This"

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Python for Data Analysis

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XSLT

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QGIS: Becoming a GIS Power User

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ZooKeeper

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What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and
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Recommended For You

Data Processing eBooks

Designing Data-Intensive Applications

How to Make Things Faster

Data Science at the Command Line

Feedback Control for Computer Systems

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Quantitative Social Science

The Practical Guide to Collibra

"You Are Not Expected to Understand This"

Building Medallion Architectures

Driving Data Quality with Data Contracts

Speak Data

Web Coding & Development All-in-One For Dummies

Visualizing Streaming Data

Artificial Intelligence with Python Cookbook

Python for Data Analysis

Semantic Modeling for Data

Federated Identity Primer

XSLT

QGIS: Becoming a GIS Power User

Stream Processing with Apache Spark

Hands-On Machine Learning with C++

ZooKeeper

Azure Data Engineering Cookbook

Ethics of Big Data