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Data Wrangling with JavaScript, 


Варианты приобретения
Цена: 7918.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: Есть  
При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября
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Название:  Data Wrangling with JavaScript
ISBN: 9781617294846
Издательство: Manning Publications
Классификация:



ISBN-10: 1617294845
Обложка/Формат: Paperback
Вес: 0.76 кг.
Дата издания: 30.10.2018
Язык: English
Размер: 233 x 188 x 22
Рейтинг:
Поставляется из: Англии
Описание:

Summary

Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Why not handle your data analysis in JavaScript? Modern libraries and data handling techniques mean you can collect, clean, process, store, visualize, and present web application data while enjoying the efficiency of a single-language pipeline and data-centric web applications that stay in JavaScript end to end.

About the Book

Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage With this hands-on guide, youll create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. Youll also build interactive visualizations and deploy your apps to production. Each valuable chapter provides a new component for your reusable data wrangling toolkit.

Whats inside

  • Establishing a data pipeline
  • Acquisition, storage, and retrieval
  • Handling unusual data sets
  • Cleaning and preparing raw dataInteractive visualizations with D3

About the Reader

Written for intermediate JavaScript developers. No data analysis experience required.

About the Author

Ashley Davis is a software developer, entrepreneur, author, and the creator of Data-Forge and Data-Forge Notebook, software for data transformation, analysis, and visualization in JavaScript.

Table of Contents

  1. Getting started: establishing your data pipeline
  2. Getting started with Node.js
  3. Acquisition, storage, and retrieval
  4. Working with unusual data
  5. Exploratory coding
  6. Clean and prepare
  7. Dealing with huge data files
  8. Working with a mountain of data
  9. Practical data analysis
  10. Browser-based visualization
  11. Server-side visualization
  12. Live data
  13. Advanced visualization with D3
  14. Getting to production



Big Data Appliances for In-Memory Computing: A Real-World Research Guide for Corporations to Tame and Wrangle Their Data

Автор: Pulipaka Dr Ganapathi
Название: Big Data Appliances for In-Memory Computing: A Real-World Research Guide for Corporations to Tame and Wrangle Their Data
ISBN: 0692599576 ISBN-13(EAN): 9780692599570
Издательство: Неизвестно
Цена: 2757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data. The book delves deeper into the research results of industry relevant case studies with the disruption of in-memory computing platform innovation that diffuses high-speed computing and dynamic performance for business applications and explores how these modern big data analytics tools shape the future of aerospace, automotive, consumer goods and beverages, healthcare, government services, high tech, and public sector industries.


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