This book will help you:
Corresponding data sets are available at www.wiley.com/go/9781118876138.
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EMC is a global leader in enabling businesses and service providers to transform their operations and deliver IT as a service. Fundamental to this transformation is cloud computing. Through innovative products and services, EMC accelerates the journey to cloud computing, helping IT departments to store, manage, protect and analyze their most valuable asset — information — in a more agile, trusted and cost-efficient way. Additional information about EMC can be found at www.EMC.com
This new edition of the unparalleled bestseller serves as a fulltraining course all in one and as the world's largest data storagecompany, EMC is the ideal author for such a critical resource. Theycover the components of a storage system and the different storagesystem models while also offering essential new material thatexplores the advances in existing technologies and the emergence ofthe "Cloud" as well as updates and vital information on newtechnologies.Features a separate section on emerging area of cloudcomputingCovers new technologies such as: data de-duplication, unifiedstorage, continuous data protection technology, virtualprovisioning, FCoE, flash drives, storage tiering, big data, andmoreDetails storage models such as Network Attached Storage (NAS),Storage Area Network (SAN), Object Based Storage along withvirtualization at various infrastructure componentsExplores Business Continuity and Security in physical andvirtualized environmentIncludes an enhanced Appendix for additional information
This authoritative guide is essential for getting up to speed onthe newest advances in information storage and management.
Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce.
Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity.Understand where and how to leverage big dataIntegrate analytics into everyday operationsStructure your organization to drive analytic insightsOptimize processes, uncover opportunities, and stand out from the restHelp business stakeholders to “think like a data scientist”Understand appropriate business application of different analytic techniques
If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation.
With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis.Presents an introduction into using R for data mining applications, covering most popular data mining techniquesProvides code examples and data so that readers can easily learn the techniquesFeatures case studies in real-world applications to help readers apply the techniques in their work