How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing"....
After completing this lesson, you should be able to do the following:
Describe the factors that affect planned and unplanned downtime
Describe the basic components of Oracle Data Guard
Explain the differences between physical and logical standby databases
Explain the benefits of creating a Data Guard environment
Explain the use of Data Guard in high-availability architectures
Data Analysis and Presentation Skills: An Introduction for the Life and Medical Sciences is an invaluable text allowing students to develop appropriate key skills when designing experiments, generating results, analysing data and ultimately presenting findings to academics and referees. Taking a hands-on approach, each of these key areas is introduced clearly and carefully, showing how to access and evaluate information using a variety of resources.
Basic analytical theory is gradually introduced alongside practical applications to enhance student understanding.
Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work....
Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like....
A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.
Some hazard information will be provided on labels, but the safety data sheet
provides you with much more detailed information.
The information in the SDS will help you to make sure that the product is used safely
by informing you about the product's hazards, on how it should be handled, stored
and disposed of and explaining what should be done in the case of an accident.
This two-day seminar is designed to give the student a firm conceptual understanding of the goals and techniques that are used in data warehousing. The seminar explains the concepts and techniques in plain English, and strips away all of the marketing hype to give the student a clear understanding of how to construct a data warehouse using the new technologies. The seminar begins with a historical review of data warehousing and explains the basic construction techniques for data warehousing and contrasts them with traditional online teleprocessing systems....
The first question that I ask an environmental science student who comes seeking my
advice on a data analysis problem is Have you looked at your data? Very often, after
some beating around the bush, the student answers, Not really. The student goes on to
explain that he or she loaded the data into an analysis package provided by an advisor,
or downloaded off the web, and it didn’t work. The student tells me, Something is
wrong with my data! I then ask my second question: Have you ever used the analysis
package with a dataset that did work? After some further beating around the bush,...
“ A Developer’s Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications.
“Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.”
—Peter Varhol, Executive Editor, Redmond Magazine ...
A portable, versatile and flexible data visualization design approach that will help you navigate the complex path towards success
Explains the many different reasons for creating visualizations and identifies the key parameters which lead to very different design options.
Thorough explanation of the many visual variables and visualization taxonomy to provide you with a menu of creative options.
Fully updated for Xcode 4.2, Pro Core Data for iOS explains how to use the Core Data framework for iOS SDK 5 using Xcode 4.2. The book explains both how and why to use Core Data, from simple to advanced techniques. Covering common and advanced persistence patterns, this book prepares any iOS developer to store and retrieve data accurately and efficiently.
What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices.
Data Structures and Algorithm Analysis Edition 3.2 (Java Version) a comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses Java as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.
Effective data presentation is an essential skill for anybody wishing to display or publish research results, but when done badly, it can convey a misleading or confusing message. This new addition to the popular “How to” series explains how to present data in journal articles, grant applications or research presentations clearly, accurately and logically, increasing the chances of successful publication.
After this lecture you should be able to: Describe the primary Vector data models used in GIS and give examples, describe raster data models and give examples, describe TIN data models, explain “topology”, describe the main file formats used in GIS.
In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.
With Beautiful Data, you will:
Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web
We illustrate and explain problems of n-grams-based machine translation (MT) metrics (e.g. BLEU) when applied to morphologically rich languages such as Czech. A novel metric SemPOS based on the deep-syntactic representation of the sentence tackles the issue and retains the performance for translation to English as well.
Upon completion of this chapter, you will be able to: Explain the role of Data Link layer protocols in data transmission, describe how the Data Link layer prepares data for transmission on network media, describe the different types of media access control methods,... Inviting you to refer.
After studying this chapter, you should be able to: Discuss the steps for designing and implementing a database system, use the REA data model to design an AIS database, draw an REA diagram of an AIS database, read an REA diagram and explain what it reveals about the business activities and policies of the organization being modeled.