Data Modelling And Management For Big Data

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Hands-On Big Data Modeling

James Lee,Tao Wei,Suresh Kumar Mukhiya
Hands On Big Data Modeling Book PDF

Author : James Lee,Tao Wei,Suresh Kumar Mukhiya
Publisher : Packt Publishing Ltd
Page : 293 pages
File Size : 49,6 Mb
Release : 2018-11-30
Category : Computers
ISBN : 9781788626088

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Hands-On Big Data Modeling by James Lee,Tao Wei,Suresh Kumar Mukhiya Pdf

Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.

Mobility Data

Chiara Renso,Stefano Spaccapietra,Esteban Zimányi
Mobility Data Book PDF

Author : Chiara Renso,Stefano Spaccapietra,Esteban Zimányi
Publisher : Cambridge University Press
Page : 393 pages
File Size : 52,7 Mb
Release : 2013-10-14
Category : Computers
ISBN : 9781107292369

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Mobility Data by Chiara Renso,Stefano Spaccapietra,Esteban Zimányi Pdf

Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible by the development of mobility data.

Big Data Management

Peter Ghavami
Big Data Management Book PDF

Author : Peter Ghavami
Publisher : Walter de Gruyter GmbH & Co KG
Page : 180 pages
File Size : 49,8 Mb
Release : 2020-11-09
Category : Business & Economics
ISBN : 9783110664324

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Big Data Management by Peter Ghavami Pdf

Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.

Spatial Data on the Web

Alberto Belussi,Barbara Catania,Eliseo Clementini,Elena Ferrari
Spatial Data on the Web Book PDF

Author : Alberto Belussi,Barbara Catania,Eliseo Clementini,Elena Ferrari
Publisher : Springer Science & Business Media
Page : 314 pages
File Size : 45,9 Mb
Release : 2007-08-15
Category : Computers
ISBN : 9783540698784

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Spatial Data on the Web by Alberto Belussi,Barbara Catania,Eliseo Clementini,Elena Ferrari Pdf

This book focuses on the modeling and management of spatial data in distributed systems. The authors have structured the contributions from internationally renowned researchers into four parts. The book offers researchers an excellent overview of the state-of-the-art in modeling and management of spatial data in distributed environments, while it may also be the basis of specialized courses on Web-based geographical information systems.

Resource Management for Big Data Platforms

Florin Pop,Joanna Kołodziej,Beniamino Di Martino
Resource Management for Big Data Platforms Book PDF

Author : Florin Pop,Joanna Kołodziej,Beniamino Di Martino
Publisher : Springer
Page : 516 pages
File Size : 44,5 Mb
Release : 2016-10-27
Category : Computers
ISBN : 9783319448817

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Resource Management for Big Data Platforms by Florin Pop,Joanna Kołodziej,Beniamino Di Martino Pdf

Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.

Data Modelling and Management for Big Data

Srikumar Krishnamoorthy
Data Modelling and Management for Big Data Book PDF

Author : Srikumar Krishnamoorthy
Publisher : Unknown
Page : 128 pages
File Size : 43,9 Mb
Release : 2015
Category : Big data
ISBN : 1526428903

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Data Modelling and Management for Big Data by Srikumar Krishnamoorthy Pdf

CFX Inc, an e-commerce start-up based abroad, had built a large e-marketplace that allowed sellers and buyers to transact online. The firm had 30,000 sellers and aimed to increase the number to 50,000 in another year's time. In 2015, the company had around six million customers and anticipated their growth to triple in the next two years. In order to provide the best shopping experience to their growing customer base, the firm needed to collect, store and analyze different kinds of data (transactional, behavioural, syndicated and demographic) and improve customer shopping experience. The company was in the process of identifying and designing suitable data management systems to sustain and manage its business growth. As part of this initiative, it hired a consultant to study its data management requirements, design a data model and offer implementation related recommendations.

Big Data Management And Analytics

Brij B Gupta,Mamta
Big Data Management And Analytics Book PDF

Author : Brij B Gupta,Mamta
Publisher : World Scientific
Page : 288 pages
File Size : 47,9 Mb
Release : 2023-12-05
Category : Computers
ISBN : 9789811257131

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Big Data Management And Analytics by Brij B Gupta,Mamta Pdf

With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.

The Data Warehouse Toolkit

Ralph Kimball,Margy Ross
The Data Warehouse Toolkit Book PDF

Author : Ralph Kimball,Margy Ross
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 40,8 Mb
Release : 2011-08-08
Category : Computers
ISBN : 9781118082140

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The Data Warehouse Toolkit by Ralph Kimball,Margy Ross Pdf

This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.

Data Modeling Essentials

Graeme Simsion,Graham Witt,Matthew West
Data Modeling Essentials Book PDF

Author : Graeme Simsion,Graham Witt,Matthew West
Publisher : Newnes
Page : 0 pages
File Size : 53,9 Mb
Release : 2015-03-29
Category : Computers
ISBN : 012396539X

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Data Modeling Essentials by Graeme Simsion,Graham Witt,Matthew West Pdf

If you are seeking expert tutelage for data modelling tools and techniques, you need look no further. Regardless of your level of expertise, as a data analyst, data modeler, data architect, database designer, database application developer, database administrator, business analysts, or systems designers, this book will serve as an invaluable resource in your effort to build reliable and effective data models. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modelling and database design. Later chapters delve into advanced topics and enterprise data modelling, covering business rules, data warehousing, data migration, and more. This new and expanded edition updates existing content where current practice dictates and adds new content on Modelling XML, Master and Reference Data, Mapping Between Models, Data Migration, and other areas of intense interest to the data modelling community. NEW TO THIS EDITION • Enhanced contextual treatment of data modeling by providing more examples of data models and their quality in examining where the benefits derive. • NEW chapter on Master and Reference Data Management • NEW chapter of Data Migration • NEW chapter on modeling XML messages • NEW chapter on Mapping Between Data Models The perfect balance of theory and practice giving you both the foundation and the tools to develop high quality data models. Perfect reference for the reflective practitioner providing clear and accessible guidance to data modeling techniques. An invaluable resource containing vast amounts of useful and well illustrated information to those involved in data modeling, from the novice to the expert.

Data Modeling Essentials

Graeme Simsion,Graham Witt
Data Modeling Essentials Book PDF

Author : Graeme Simsion,Graham Witt
Publisher : Elsevier
Page : 560 pages
File Size : 48,9 Mb
Release : 2004-12-03
Category : Computers
ISBN : 0080488676

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Data Modeling Essentials by Graeme Simsion,Graham Witt Pdf

Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises. This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective. Thorough coverage of the fundamentals and relevant theory. Recognition and support for the creative side of the process. Expanded coverage of applied data modeling includes new chapters on logical and physical database design. New material describing a powerful technique for model verification. Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict.

Large Scale and Big Data

Sherif Sakr,Mohamed Gaber
Large Scale and Big Data Book PDF

Author : Sherif Sakr,Mohamed Gaber
Publisher : CRC Press
Page : 640 pages
File Size : 54,7 Mb
Release : 2014-06-25
Category : Computers
ISBN : 9781466581500

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Large Scale and Big Data by Sherif Sakr,Mohamed Gaber Pdf

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book’s second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security. Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.

Principles of Database Management

Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens
Principles of Database Management Book PDF

Author : Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens
Publisher : Cambridge University Press
Page : 817 pages
File Size : 44,6 Mb
Release : 2018-07-12
Category : Computers
ISBN : 9781107186125

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Principles of Database Management by Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens Pdf

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Developing High Quality Data Models

Matthew West
Developing High Quality Data Models Book PDF

Author : Matthew West
Publisher : Elsevier
Page : 408 pages
File Size : 41,6 Mb
Release : 2011-02-07
Category : Computers
ISBN : 0123751071

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Developing High Quality Data Models by Matthew West Pdf

Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling. Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates Develops ideas for creating consistent approaches to high quality data models

Big Data Analytics

Saumyadipta Pyne,B.L.S. Prakasa Rao,S.B. Rao
Big Data Analytics Book PDF

Author : Saumyadipta Pyne,B.L.S. Prakasa Rao,S.B. Rao
Publisher : Springer
Page : 276 pages
File Size : 53,9 Mb
Release : 2016-10-12
Category : Computers
ISBN : 9788132236283

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Big Data Analytics by Saumyadipta Pyne,B.L.S. Prakasa Rao,S.B. Rao Pdf

This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.

Big Data and Analytics

Vincenzo Morabito
Big Data and Analytics Book PDF

Author : Vincenzo Morabito
Publisher : Springer
Page : 183 pages
File Size : 54,8 Mb
Release : 2015-01-31
Category : Business & Economics
ISBN : 9783319106656

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Big Data and Analytics by Vincenzo Morabito Pdf

This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.