Take advantage of the sky-high demand for data engineers today. With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey from MIT Open Learning, this book presents...

For most companies, pricing has always been a sensitive, private affair. This article is directed at managers who seek to profit from product differentiation and take maximum advantage of their ability to stand out. Instead of leaving good money on the table and struggling to convert product differentiation into revenue, the authors argue, companies should consider enlisting the pricing help of their customers. Outsourcing pricing isn't an all-or-nothing...

This new business analytics case study challenges readers to project trends and plan capacity for a fast-growing craft beer operation, so it can make the best possible decisions about expensive investments in brewing capacity. Crystallizing realistic analytical challenges faced by companies in many industries and markets, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend...

Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis tasks including importing data...

Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w.

"Does information really want to be free? While the Internet is full of open data, there's plenty of data that companies are willing to pay handsomely for - particularly if it's timely and well aggregated. As a result, data marketplaces are a burgeoning business. This panel will look at the market for data, and where it's headed."--Resource description page.

Grasp essential steps in order to generate meaningful results quickly with JMP. JMP Essentials: An Illustrated Step-by-Step Guide for New Users, Second Edition is designed for the new or occasional JMP user who needs to generate meaningful graphs or results quickly. Drawing on their own experience working with these customers, the authors provide essential steps for what new users typically need to carry out with JMP. This newest edition has all new...

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervised feature selection. The book explores the latest research achievements, sheds light on new research...

Business-Intelligence-Lösungen sind für Unternehmen unabdingbar, um Datenmengen in vertretbarer Zeit zu analysieren und daraus resultierend Entscheidungen zu treffen.Die Autoren bieten einen praxisnahen Überblick über Visual Business Analytics mit seinen drei Teilgebieten: Information Design, Visual Business Intelligence und Visual Analytics. Sie zeigen den Weg, wie aus Daten über das Mittel der Visualisierung für den Empfänger entscheidungsrelevante...