Database & Data Warehousing Technologies, Jovan Pehcevski
Автор: Jose Carlos Ramalho, Alberto Simoes, Ricardo Queiros Название: Innovations in XML Applications and Metadata Management: Advancing Technologies ISBN: 1466626690 ISBN-13(EAN): 9781466626690 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: As new concepts such as virtualisation, cloud computing, and web applications continue to emerge, XML has begun to assume the role as the universal language for communication among contrasting systems that grow throughout the internet. <br><br><em>Innovations in XML Applications and Metadata Management: Advancing Technologies</em> addresses the functionality between XML and its related technologies towards application development based on previous concepts. This book aims to highlights the variety of purposes for XML applications and how the technology development brings together advancements in the virtual world.
Автор: Cristian Molaro, Surekha Parekh, Terry Purcell, Julian Stuhler Название: DB2 11: The Database for Big Data & Analytics ISBN: 1583473858 ISBN-13(EAN): 9781583473856 Издательство: Gazelle Book Services Рейтинг: Цена: 27150.00 T Наличие на складе: Невозможна поставка. Описание: Cairo, 1942. A man arrives across the desert. A businessman to some, to others he is a ruthless, brutal killer. He is the Sphinx: Nazi spy, and Rommel`s greatest asset. As information of their movements and plans leak to the Germans, the British have only two options: ensnare the Sphinx, or lose North Africa to Hitler. The Key to Rebecca is a thrilling tale from Ken Follett.
Автор: Heaton John Название: Oracle Database 11g: Data Warehousing and Business Intellige ISBN: 1849685487 ISBN-13(EAN): 9781849685481 Издательство: Неизвестно Рейтинг: Цена: 80910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is written in a simple, easy to understand format with lots of screenshots and step-by-step explanations. If you are Project Managers or IT professionals looking to design and develop a data warehouse and business intelligence solution, then this is the best guide for you. This book assumes that you have a fundamental knowledge of data warehouse and business intelligence projects.
Автор: Hu & Kaabouch Название: Big Data Management, Technologies, And Applications ISBN: 1466646993 ISBN-13(EAN): 9781466646995 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 170010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size.Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.
Learn how to make business intelligence (BI) successful in your organization.
How do we enable our organizations to enjoy the often significant benefits of BI and analytics, while at the same time minimizing the cost and risk of failure? In this book, I am not going to try to be prescriptive; I won't tell you exactly how to build your BI environment. Instead, I am going to focus on a few core principles that will enable you to navigate the rocky shoals of BI architecture and arrive at a destination best suited for your particular organization. Some of these core principles include:
Have an overarching strategy, plan, and roadmap
Recognize and leverage your existing technology investments
Support both data discovery and data reuse
Keep data in motion, not at rest
Separate information delivery from data storage
Emphasize data transparency over data quality
Take an agile approach to BI development.
This book will show you how to successfully navigate both the jungle of BI technology and the minefield of human nature. It will show you how to create a BI architecture and strategy that addresses the needs of all organizational stakeholders. It will show you how to maximize the value of your BI investments. It will show you how to manage the risk of disruptive technology. And it will show you how to use agile methodologies to deliver on the promise of BI and analytics quickly, succinctly, and iteratively.
This book is about many things. But principally, it's about success. The goal of any enterprise initiative is to succeed and to derive benefit--benefit that all stakeholders can share in. I want you to be successful. I want your organization to be successful. This book will show you how.
This book is for anyone who is currently or will someday be working on a BI, analytics, or Big Data project, and for organizations that want to get the maximum amount of value from both their data and their BI technology investment. This includes all stakeholders in the BI effort--not just the data people or the IT people, but also the business stakeholders who have the responsibility for the definition and use of data. There are six sections to this book:
In Section I, What Kind of Garden Do You Want?, we will examine the benefits and risks of Business Intelligence, making the central point that BI is a business (not IT) process designed to manage data assets in pursuit of enterprise goals. We will show how data, when properly managed and used, can be a key enabler of several types of core business processes. The purpose of this section is to help you define the particular benefit(s) you want from BI.
In Section II, Building the Bones, we will talk about how to design and build out the "hardscape" (infrastructure) of your BI environment. This stage of the process involves leveraging existing technology investments and iteratively moving toward your desired target state BI architecture.
In Section III, From the Ground Up, we explore the more detailed aspects of implementing your BI operational environment.
In Section IV, Weeds, Pests and Critters, we talk about the myriad of things that can go wrong on a BI project, and discuss ways of mitigating these risks.
In Section V, The Sustainable Garden, we talk about how to create a BI infrastructure that is easy and inexpensive to maintain.
Finally, Section VI presents a case study illustrating the principles of this book, as applied to a fictional manufacturing company (the Blue Moon Guitar Company).
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Автор: Parteek Bhatia Название: Data Mining and Data Warehousing: Principles and Practical Techniques ISBN: 1108727743 ISBN-13(EAN): 9781108727747 Издательство: Cambridge Academ Рейтинг: Цена: 71810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook gives an in-depth discussion of basic principles and practical techniques of data mining and data warehousing. Theoretical concepts are discussed in detail with the help of practical examples. It covers data mining tools and language such as Weka and R language.
Автор: Cox, Andrew Verbaan, Eddy Название: Exploring research data management ISBN: 1783302798 ISBN-13(EAN): 9781783302796 Издательство: Facet Рейтинг: Цена: 176000.00 T Наличие на складе: Невозможна поставка. Описание: Exploring Research Data Management is an accessible introduction to RDM with engaging tasks for the reader to follow and build their knowledge. It will be useful reading for all students studying librarianship and information management.
Автор: Moss Larissa Название: Extreme Scoping ISBN: 1935504533 ISBN-13(EAN): 9781935504535 Издательство: Gazelle Book Services Рейтинг: Цена: 72910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Do your business intelligence (BI) projects take too long to deliver? Is the value of the deliverables less than satisfactory? Do these projects propagate poor data management practices? If you screamed "yes" to any of these questions, read this book to master a proven approach to building your enterprise data warehouse and BI initiatives. "Extreme Scoping", based on the Business Intelligence Roadmap, will show you how to build analytics applications rapidly yet not sacrifice data management and enterprise architecture. In addition, all of the roles required to deliver all seven steps of this agile methodology are explained along with many real-world examples. From Wayne Eckersons Foreword -- Ive read many books about data warehousing and business intelligence (BI). This book by Larissa Moss is one of the best. I should not be surprised. Larissa has spent years refining the craft of designing, building, and delivering BI applications. Over the years, she has developed a keen insight about what works and doesnt work in BI. This book brings to light the wealth of that development experience. Best of all, this is not some dry text that laboriously steps readers through a technical methodology. Larissa expresses her ideas in a clear, concise, and persuasive manner. I highlighted so many beautifully written and insightful paragraphs in her manuscript that it became comical. I desperately wanted the final, published book rather than the manuscript so I could dog-ear it to death and place it front-and-center in my office bookshelf! From David Wells Foreword : Extreme Scoping is rich with advice and guidance for virtually every aspect of BI projects from planning and requirements to deployment and from back-end data management to front-end information and analytics services. Larissa is both a pragmatist and an independent thinker. Those qualities come through in the style of this book. This is a well-written book that is easy to absorb. It is not full of surprises. It is filled with a lot of common sense and lessons learned through experience.
Автор: Rex Porbasas Flejoles Название: Data Mining and Warehousing ISBN: 1773612603 ISBN-13(EAN): 9781773612607 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 150610.00 T Наличие на складе: Невозможна поставка. Описание: Brings together a systematic introduction to the principles and disseminates new concepts and developments in the areas of data mining and data warehousing. It is designed for practitioners and researchers in industry. This book is also suitable for upper-undergraduate and graduate-level students in computer science.
Автор: Mustapha Akinkunmi Название: Data Mining and Market Intelligence: Implications for Decision Making ISBN: 168173320X ISBN-13(EAN): 9781681733203 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 72070.00 T Наличие на складе: Невозможна поставка. Описание: This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining.Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics.
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