Описание: Big Data analytics relates to the strategies used by enterprises to process and analyze large amounts of data to bring out hidden insights. With the help of open source and enterprise tools, such as R, Python, Hadoop, and Spark, you will learn how to effectively mine your Big Data. By the end of this book, you will have a clear understanding ...
Описание: How do we design for data when traditional design techniques cannot extend to new database technologies? In this era of big data and the Internet of Things, it is essential that we have the tools we need to understand the data coming to us faster than ever before, and to design databases and data processing systems that can adapt easily to ever-changing data schemas and ever-changing business requirements. There must be no intellectual disconnect between data and the software that manages it. It must be possible to extract meaning and knowledge from data to drive artificial intelligence applications. Novel NoSQL data organization techniques must be used side-by-side with traditional SQL databases. Are existing data modeling techniques ready for all of this? The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design. A single COMN model can represent the objects and concepts in the problem space, logical data design, and concrete NoSQL and SQL document, key-value, columnar, and relational database implementations. COMN models enable an unprecedented level of traceability of requirements to implementation. COMN models can also represent the static structure of software and the predicates that represent the patterns of meaning in databases. This book will teach you: the simple and familiar graphical notation of COMN with its three basic shapes and four line styles; how to think about objects, concepts, types, and classes in the real world, using the ordinary meanings of English words that arent tangled with confused techno-speak; how to express logical data designs that are freer from implementation considerations than is possible in any other notation; how to understand key-value, document, columnar, and table-oriented database designs in logical and physical terms; how to use COMN to specify physical database implementations in any NoSQL or SQL database with the precision necessary for model-driven development. A quick reference guide to COMN is included in an appendix. The full notation reference is available at http://www.tewdur.com/
Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs.
From Karen Lopez's Foreword:
In this book, Thomas Frisendal raises important questions about the continued usefulness of traditional data modeling notations and approaches:
Are Entity Relationship Diagrams (ERDs) relevant to analytical data requirements?
Are ERDs relevant in the new world of Big Data?
Are ERDs still the best way to work with business users to understand their needs?
Are Logical and Physical Data Models too closely coupled?
Are we correct in using the same notations for communicating with business users and developers?
Should we refine our existing notations and tools to meet these new needs, or should we start again from a blank page?
What new notations and approaches will we need?
How will we use those to build enterprise database systems?
Frisendal takes us through the history of data modeling, enterprise data models and traditional modeling methods. He points out, quite contentiously, where he feels we have gone wrong and in a few places where we got it right. He then maps out the psychology of meaning and context, while identifying important issues about where data modeling may or may not fit in business modeling. The main subject of this work is a proposal for a new exploration-driven modeling approach and new modeling notations for business concept models, business solutions models, and physical data models with examples on how to leverage those for implementing into any target database or datastore. These new notations are based on a property graph approach to modeling data.
From the author's introduction:
This book proposes a new approach to data modeling--one that "turns the inside out." For well over thirty years, relational modeling and normalization was the name of the game. One can ask that if normalization was the answer, what was the problem? There is something upside-down in that approach, as we will see in this book.
Data analysis (modeling) is much like exploration. Almost literally. The data modeler wanders around searching for structure and content. It requires perception and cognitive skills, supported by intuition (a psychological phenomenon), that together determine how well the landscape of business semantics is mapped.
Mapping is what we do; we explore the unknowns, draw the maps and post the "Here be Dragons" warnings. Of course there are technical skills involved, and surprisingly, the most important ones come from psychology and visualization (again perception and cognition) rather than pure mathematical ability.
Two compelling events make a paradigm shift in data modeling possible, and also necessary:
The advances in applied cognitive psychology address the needs for proper contextual framework and for better communication, also in data modeling, and
The rapid intake of non-relational technologies (Big Data and NoSQL).
Описание: This book covers the latest release of MongoDB. You`ll learn how to master various tasks related to the development and administration of a MongoDB database, along with best practices to optimize the workflow. The book also covers multiple financial and practical use cases that will enable you to use MongoDB for commercial data storage.
Автор: Hillar Gastуn C., Yцndem Daron Название: Guide to NoSQL with Azure Cosmos DB ISBN: 1789612896 ISBN-13(EAN): 9781789612899 Издательство: Неизвестно Рейтинг: Цена: 6068.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows you how to develop applications that work with Azure Cosmos DB. Azure and other cloud applications typically work with massive amounts of data that can be organized in different ways. These applications will often require elastic scale out of storage and throughput, and to work across new geographical regions. This is the ...
Автор: Ploetz Aaron, Kandhare Devram, Kadambi Sudarshan Название: Seven NoSQL Databases in a Week ISBN: 1787288862 ISBN-13(EAN): 9781787288867 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will help you understand the fundamentals of seven of the most popular NoSQL databases. You will see how the functionalities of each of them differ, while still giving you the same result - a database solution with speed, high performance, and accuracy.
Автор: Kolpyakwar Anirudha, Chaudhari Pallavi, Potgantwar Amol D. Название: Database Management System with NoSQL ISBN: 6139959047 ISBN-13(EAN): 9786139959044 Издательство: Неизвестно Рейтинг: Цена: 16959.00 р. Наличие на складе: Нет в наличии.
Описание: A database is a collection of data that is saved and organized to allow easy retrieval when needed. It is the collection of schema, tables, queries, reports, views, and other objects. Databases are not limited to only computers, Where databases are more complex they are often developed using formal design and modeling techniques.The database management system (DBMS) is the software that interacts with end users, applications, the database itself to capture and analyze the data and provides facilities to administer the database. The sum total of the database, the DBMS and the associated applications can be referred to as a "database system". Often the term "database" is also used to loosely refer to any of the DBMS, the database system or an application associated with the database.
Автор: Fowler Adam Название: Nosql for Dummies ISBN: 1118905741 ISBN-13(EAN): 9781118905746 Издательство: Wiley Рейтинг: Цена: 3958.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Get up to speed on the nuances of NoSQL databases and what they mean for your organization This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you.
Описание: This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content for each chapter.
Описание: This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations.The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types:SQL and NoSQL databases, and their respective management systemsThe nature and uses of Big DataA high-level view of the organization of data managementData Modeling and Consistency Chapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more.A full chapter probes the challenges of Ensuring Data Consistency, covering:Multi-User OperationTroubleshootingConsistency in Massive Distributed DataComparison of the ACID and BASE consistency models, and moreSystem Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics. Post-Relational and NoSQL DatabasesThe chapter on post-relational databases discusses the limits of SQL – and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases. A final chapter covers NoSQL Databases, along withDevelopment of Non-Relational Technologies,Key-Value, Column-Family and Document StoresXML Databases and Graphic Databases, and moreThe book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. SQL & NoSQL Databases conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
Автор: Drazena Gaspar, Ivica Coric Название: Bridging Relational and NoSQL Databases ISBN: 1522533850 ISBN-13(EAN): 9781522533856 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An innovative source of academic content on the convergence process between databases and describes key features of the next database generation. Featuring coverage on a wide variety of topics and perspectives such as BASE approach, CAP theorem, and hybrid and native solutions, this publication is designed for professionals and researchers interested in relational and NoSQL databases.
Автор: Alam Maqsood Название: Oracle NoSGL Database: Real-time Big Data Management for the ISBN: 0071816534 ISBN-13(EAN): 9780071816533 Издательство: McGraw-Hill Рейтинг: Цена: 6862.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is a comprehensive compilation of articles by experts in the field of suicide terrorism from across the world and across disciplines with a focus on suicide missions. It provides an insightful perspective on suicide terror as a phenomenon and as a process, and suggests psychosocial pathways for understanding the enigma that suicide terror poses.
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