High-Speed Railways: Environmental Impact and Pollution Prevention and Control considers environmental pollution and pollution control technology in the construction and operation of high-speed rail infrastructure. In six chapters, this new volume introduces high speed rail and environmental impact, considers environmental pollution and prevention in high speed railways, and covers the prediction, measurement and prevention of key environmental aspects of the railway. The title gives engineers the means to understand and mitigate the major environmental impacts of building and operating high-speed railways in the modern world. High-speed railways offer a low-carbon and environmentally-friendly future for public railways. However, building and operating high speed railways at scale causes stress both to the environment and to people living nearby. Impacts include noise, vibration, air and water pollution, electromagnetic radiation, and solid waste from construction sites and the normal operation of the railway. In turn, analyzing the impact of high speed rail has grown in urgency.

High-Speed Railways: Environmental Impact and Pollution Prevention and Control

Engineering & Transportation

He, Yulong

Tao, Wei

Mei, Changgen

Transportation

Elsevier

Solve all big data problems by learning how to create efficient data models Key Features <ul>
<li>Create effective models that get the most out of big data </li> <li>Apply your knowledge to datasets from Twitter and weather data to learn big data </li> <li>Tackle different data modeling challenges with expert techniques presented in this book</li>
</ul> Book Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you'll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you'll work with structured and semi-structured data with the help of real-life examples. Once you've got to grips with the basics, you'll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You'll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you'll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learn <ul>
<li>Get insights into big data and discover various data models </li> <li>Explore conceptual, logical, and big data models </li> <li>Understand how to model data containing different file types </li> <li>Run through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modeling </li> <li>Create data models such as Graph Data and Vector Space </li> <li>Model structured and unstructured data using Python and R</li>
</ul> Who this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.Table of Contents <ol>
<li>Introduction to Big Data and Data Management</li> <li>Data Modeling and Data Management platforms for Big Data</li> <li>Defining Data Model</li> <li>Categorizing Data Model</li> <li>Structures of Data Model</li> <li>Modeling Structured Data</li> <li>Modeling with Unstructured Data</li> <li>Modeling with Steaming Data </li> <li>Streaming Sensors Data</li> <li>Concept and Approaches of Big Data Management</li> <li>DBMS to BDMS</li> <li>Big Data Management Services and Vendors</li> <li>Modeling Twitter Feeds using Python</li> <li>Modeling Weather Data Points with Python</li> <li>Modeling IMDB Data Points with Python</li>
</ol>

Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals

Computers & Technology

James Lee

Suresh Kumar Mukhiya

Software

Packt Publishing

Language:Chinese.North Yanyuan advanced mathematics exercises up and down the whole solution. Tongji edition seven bound volumes necessary postgraduate teaching mathematics Zhidingyongshu

North Yanyuan advanced mathematics exercises up and down the whole solution. Tongji edition seven bound volumes necessary postgraduate teaching mathematics Zhidingyongshu(Chinese Edition)

China University of Political Science Press

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