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Data store
How to Run a Store
Forgotten Books Harold Whitehead
ISBN：9781330055755，出版年：2016，中图分类号：F7

The mortality among retail stores is disturbing to say the least. And when we realize that two thirds of the misfortunes are attributed to incompetency and ignorance of the retail business principles, we appreciate the need for a stimulation of constructive thought and, indeed, often of energy. There are several excellent books on retailing already on the market. This book is not offered as something better but as something different and something more directly applicable to the small store needs.

How-to Data store Thrust Method Kriging method Distributed data store Method access Access method Commercial off-the-shelf Deltopectoral approach Data warehouse
The Gentleman's Magazine: January June, 1873 -- January June, 1873
Forgotten Books Sylvanus Urban
ISBN：9781330636688，出版年：2018，中图分类号：I1

In many cases their mss. Are accompanied by long confidential letters, appeals to one's feelings, attacks on one's sympathy. Now and then I detect something of merit in an amateur article; but too often the merit lies in the evident disadvantages of the circumstances under which the paper has been written. Misled on this tack I return a civil reply and say, Try again; you may succeed. The writer tries again. He does not succeed. I say so. His ms. Goes back. Then I have been unkind; I have raised hopes only to blight them. Sometimes the ms. Is lost or mislaid, the writer having omitted to put his name or address upon it. Then it cannot be returned and the young author pours out his wrath wildly upon the editor. I sympathise with him, despite the suffering he causes; but I tell him now, as I have told him before, that if he would retain his literary treasures, he must keep copies of them. This is easily done; the manifold letter writer and the copying press are old institutions.

North American Datum of 1927 Data publishing Distributed data store Data warehouse Data store Tree (data structure) Amsterdam Ordnance Datum Aggregate (data warehouse) Data Protection Act 1998 Ordnance datum
Oracle Data Warehouse Tuning for 10g
10g Oracle数据仓库调整
Digital Press_RM Powell, Gavin JT
ISBN：9781555583354，出版年：2011，中图分类号：TP3

his book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience.聰 - Tim Donar, Author and Systems Architect for Enterprise Data WarehousesTuning a data warehouse database focuses on large transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame.A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model.* Takes users beyond basics to critical issues in running most efficient data warehouse applications* Illustrates how to keep data going in and out in the most productive way possible* Focus is placed on Data Warehouse performance tuning

Data warehouse Data store Distributed data store Digital Data Storage Holographic data storage Data storing Computer data storage Data storage system 10 Gigabit Ethernet Dimension (data warehouse)
Data Warehousing And Business Intelligence For e-Commerce
电子商务的数据仓库和商业智能
Morgan Kaufmann_RM Simon, Alan R Shaffer, Steven L
ISBN：9781558607132，出版年：2001，中图分类号：F7

You go online to buy a digital camera. Soon, you realize you've bought a more expensive camera than intended, along with extra batteries, charger, and graphics software-all at the prompting of the retailer.Happy with your purchases? The retailer certainly is, and if you are too, you both can be said to be the beneficiaries of "customer intimacy" achieved through the transformation of data collected during this visit or stored from previous visits into real business intelligence that can be exercised in real time.Data Warehousing and Business Intelligence for e-Commerce is a practical exploration of the technological innovations through which traditional data warehousing is brought to bear on this and other less modest e-commerce applications, such as those at work in B2B, G2C, B2G, and B2E models. The authors examine the core technologies and commercial products in use today, providing a nuts-and-bolts understanding of how you can deploy customer and product data in ways that meet the unique requirements of the online marketplace-particularly if you are part of a brick-and-mortar company with specific online aspirations. In so doing, they build a powerful case for investment in and aggressive development of these approaches, which are likely to separate winners from losers as e-commerce grows and matures.*

Electronic data interchange Business intelligence Electronic shopping Distributed data store Data store Data warehouse Secure Electronic Transaction Financial intelligence (business) Electronic literacy Electronic learning
Data Warehousing -- Using the Wal-Mart Model
数据仓库：使用沃尔玛模型
Morgan Kaufmann_RM Westerman, Paul
ISBN：9781558606845，出版年：2000，中图分类号：TP3

At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, and arguably most successful commercial database. Written by one of the key figures in its design and construction, Data Warehousing: Using the Wal-Mart Model gives you an insider's view of this enormous project. Continuously drawing from this example, the author teaches you the general principles and specific techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. You'll emerge with a practical understanding of both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way. What further sets this book apart is its focus on the informational needs of retail companies-including both market and organizational issues that affect the data's collection and use. If retail is your field, this book will prove especially valuable as you develop and implement your company's ideal data warehouse solution. * Written by a member of the team of four engineers who designed and built the Wal-Mart Data Warehouse database, a team whose database design was recognized internally in 1991 by Wal-Mart with the company's Team Innovational Technical award. * Provides essential information for project managers, consultants, data warehouse managers, and data architects. * Takes an in-depth look at a wide range of technical issues, including architecture, construction approaches, tool selection, database system selection, and maintenance. * Addresses issues specific to retail business: vendors, inventory, sales analysis, geography, article categories, and more. * Explains how to determine business requirements at the outset of the project-and how to develop return on investment analyses after the warehouse has been brought online.

Data store Distributed data store Data warehouse Data model Information exchange data model Data modeling Semantic data model Functional data model Storage model Market data
Alternate Data Storage Forensics
可选择数据存储方法
Syngress_RM Schroader, Amber Cohen, Tyler
ISBN：9781597491631，出版年：2011，中图分类号：TP3

Learn to pull igital fingerprints聰 from alternate data storage (ADS) devices including: iPod, Xbox, digital cameras and more from the cyber sleuths who train the Secret Service, FBI, and Department of Defense in bleeding edge digital forensics techniques. This book sets a new forensic methodology standard for investigators to use.This book begins by describing how alternate data storage devices are used to both move and hide data. From here a series of case studies using bleeding edge forensic analysis tools demonstrate to readers how to perform forensic investigations on a variety of ADS devices including: Apple iPods, Digital Video Recorders, Cameras, Gaming Consoles (Xbox, PS2, and PSP), Bluetooth devices, and more using state of the art tools. Finally, the book takes a look into the future at ot yet every day聰 devices which will soon be common repositories for hiding and moving data for both legitimate and illegitimate purposes.Authors are undisputed leaders who train the Secret Service, FBI, and Department of DefenseBook presents "one of a kind" bleeding edge information that absolutely can not be found anywhere elseToday the industry has exploded and cyber investigators can be found in almost every field

Data storing Holographic data storage Data warehouse Digital Data Storage Data custodian Computer data storage Data storage system Data retention Data store Preservation metadata
Building a Scalable Data Warehouse with Data Vault 2
对微软SQL服务器2014的实施指南
Morgan Kaufmann_RM Linstedt, Daniel Olschimke, Michael
ISBN：9780128025109，出版年：2015，中图分类号：TP3

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2

Scalable distributed data structure Data warehouse Database storage structures Dimension (data warehouse) Distributed data store Data storing Aggregate (data warehouse) Distributed data structures Data store Measure (data warehouse)
Data Mapping for Data Warehouse Design
数据仓库设计中的数据映射
Morgan Kaufmann_RM Shahbaz, Qamar
ISBN：9780128051856，出版年：2015，中图分类号：TP3

Data mapping in a data warehouse is the process of creating a link between two distinct data models?(source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle.Covers all stages of data warehousing and the role of data mapping in eachIncludes a data mapping strategy and techniques that can be applied to many situationsBased on the author years of real-world experience designing solutions

Holographic data storage Data warehouse Data mapping Data store Distributed data store Data layout Data storing Data storage system Design charts Dimension (data warehouse)
Shopping Mall
购物中心
Bloomsbury Publishing Matthew Newton
ISBN：9781501314827，出版年：2017，中图分类号：I0

Object Lessons is a series of short, beautifully designed books about the hidden lives of ordinary things.The mall near Mat thew Newton's childhood home in Pittsburgh, Pennsylvania, was one of the state's first enclosed shopping malls. Like all malls in their heyday, this one was a climate-controlled pleasuredome where strangers converged. It boasted waterfalls, fish ponds, an indoor ice skating rink larger than Rockefeller Center's, and a monolithic clock tower illuminated year-round beneath a canopy of interconnected skylights. It also became the backdrop for filmmaker George A. Romero's zombie opus Dawn of the Dead. Part memoir and part case study, Shopping Mall examines the modern mythology of the mall and shows that, more than a collection of stores, it is a place of curiosity, ritual, and fantasy.Object Lessons is published in partnership with an essay series in The Atlantic.

Shopping mall Bucket shop Shopping list Machine shop Data store Salon Centrolinead Market game Central line Web Mercator
Data Collection and Storage
数据收集和存储
Nova Science Julian R Eiras
ISBN：9781612096896，出版年：2011，中图分类号：TP3

This new book discusses data collection and storage across a broad spectrum of applications. Topics discussed include the collection of mortality data in relation to cancer prevalence and incidence to achieve successful national health policies; a study of the basic elements needed for a holographic data storage system; metallic nanocluster-based structures and semiconductor thin films for information storage and swift collection and quantification of cow cervix morphology data.

Data collection Data storing Data warehouse Data store Data storage system Digital Data Storage Holographic data storage Computer data storage Aggregate (data warehouse) Distributed data store
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