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Data Smog

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Data Smog is a 1997 book by journalist David Shenk and published by Harper Collins. It addresses the author's ideas on how the information technology revolution would shape the world, and how the large amount of data available on the Internet would make it more difficult to sift through and separate fact from fiction.
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date of publication: 1997

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Modeling with Data

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Environmental Data Analysis

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Multivariate Data Analysis

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All Data Are Local : Thinking Critically in a Data-Driven Society

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Data Architecture: A Primer for the Data Scientist

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Exploratory Data Analysis

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Data marketing

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EU General Data Protection Regulation

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M Is for (Data) Monkey

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Analysis of Gene Expression Data

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Advances in Intelligent Data Analysis

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Pro Ado.Net Data Services

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Frequency Financial Data Modeling

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Discrete Data Analysis with R

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Classification and Data Mining

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Analysis of Longitudinal Data

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SAP Master Data Management

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Data Analysis Plans

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Fundamentals of Mobile Data Networks

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Mixed method data collection strategies

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Doing data science

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The Data Book of Astronomy

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Analysis of Symbolic Data

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Hidden Data

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High Performance SQL Server Data Warehousing

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linking data

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Data Wrangling

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Data Science

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DATA COMMUNICATION

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Data Quality

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Data Soliloquies

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Data Visualisation

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Big Data

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Holographic data storage

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Intelligence Science and Big Data Engineering. Image and Video Data Engineering

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Building a Scalable Data Warehouse with Data Vault 2.0

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Data Mining and Data Visualization

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Incomplete Data and Data Dependencies in Relational Databases

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I Heart Logs: Event Data, Stream Processing, and Data Integration

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Data mining

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Analyzing Your Qualitative Data

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Data Smart

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Data communications and networking

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Relational Data Clustering

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Visualizing Data

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Data Science for Business

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Data Visualization 2001

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The Data Protection Officer

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Privacy-Preserving Data Mining

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Networking Communication and Data Knowledge Engineering

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Using geochemical data

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Orbital Data Applications for Space Objects

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Programming with Data

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Statistical Analysis with Missing Data

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Purely Functional Data Structures

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Privacy and Healthcare Data

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Applied Data Mining

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Data Mining

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Data Mining with R

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Data Visualization For Dummies

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Data Architecture

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Data Points

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Data Mining

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Cellular digital packet data

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Geo-Data

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Green and Virtual Data Center

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Data Management in Grids

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Advances on Data Mining

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Data Warehousing and Mining

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Handbook of Data Visualization

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Master Data Management

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Key Technologies for Data Management

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Data Protection Strategy

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Clustering High-Dimensional Data

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Advances in Spatial Data Handling

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Big, Fast & Open Data

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Data Network Engineering

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SQL Server 7 Data Warehousing

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Reworking qualitative data

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High-Level Data Fusion

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The Enterprise Data Model: A framework for enterprise data architecture

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Harness the Power of Big Data The IBM Big Data Platform

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Genetic Data Analysis

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Data Center Handbook

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Statistical Data Analysis Explained

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Modern Data Analysis

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Executing data quality projects

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Compromised Data

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European data protection law

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SI Chemical Data

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Qualitative Data Analysis

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The Dinosaur Data Book

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Spring Data

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e-Data

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