Cloud Data Management

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Cloud Data Management

Liang Zhao,Sherif Sakr,Anna Liu,Athman Bouguettaya
Cloud Data Management Book PDF

Author : Liang Zhao,Sherif Sakr,Anna Liu,Athman Bouguettaya
Publisher : Springer
Page : 202 pages
File Size : 42,8 Mb
Release : 2014-07-08
Category : Computers
ISBN : 9783319047652

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Cloud Data Management by Liang Zhao,Sherif Sakr,Anna Liu,Athman Bouguettaya Pdf

In practice, the design and architecture of a cloud varies among cloud providers. We present a generic evaluation framework for the performance, availability and reliability characteristics of various cloud platforms. We describe a generic benchmark architecture for cloud databases, specifically NoSQL database as a service. It measures the performance of replication delay and monetary cost. Service Level Agreements (SLA) represent the contract which captures the agreed upon guarantees between a service provider and its customers. The specifications of existing service level agreements (SLA) for cloud services are not designed to flexibly handle even relatively straightforward performance and technical requirements of consumer applications. We present a novel approach for SLA-based management of cloud-hosted databases from the consumer perspective and an end-to-end framework for consumer-centric SLA management of cloud-hosted databases. The framework facilitates adaptive and dynamic provisioning of the database tier of the software applications based on application-defined policies for satisfying their own SLA performance requirements, avoiding the cost of any SLA violation and controlling the monetary cost of the allocated computing resources. In this framework, the SLA of the consumer applications are declaratively defined in terms of goals which are subjected to a number of constraints that are specific to the application requirements. The framework continuously monitors the application-defined SLA and automatically triggers the execution of necessary corrective actions (scaling out/in the database tier) when required. The framework is database platform-agnostic, uses virtualization-based database replication mechanisms and requires zero source code changes of the cloud-hosted software applications.

Grid and Cloud Database Management

Sandro Fiore,Giovanni Aloisio
Grid and Cloud Database Management Book PDF

Author : Sandro Fiore,Giovanni Aloisio
Publisher : Springer Science & Business Media
Page : 353 pages
File Size : 53,7 Mb
Release : 2011-07-28
Category : Computers
ISBN : 9783642200458

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Grid and Cloud Database Management by Sandro Fiore,Giovanni Aloisio Pdf

Since the 1990s Grid Computing has emerged as a paradigm for accessing and managing distributed, heterogeneous and geographically spread resources, promising that we will be able to access computer power as easily as we can access the electric power grid. Later on, Cloud Computing brought the promise of providing easy and inexpensive access to remote hardware and storage resources. Exploiting pay-per-use models and virtualization for resource provisioning, cloud computing has been rapidly accepted and used by researchers, scientists and industries. In this volume, contributions from internationally recognized experts describe the latest findings on challenging topics related to grid and cloud database management. By exploring current and future developments, they provide a thorough understanding of the principles and techniques involved in these fields. The presented topics are well balanced and complementary, and they range from well-known research projects and real case studies to standards and specifications, and non-functional aspects such as security, performance and scalability. Following an initial introduction by the editors, the contributions are organized into four sections: Open Standards and Specifications, Research Efforts in Grid Database Management, Cloud Data Management, and Scientific Case Studies. With this presentation, the book serves mostly researchers and graduate students, both as an introduction to and as a technical reference for grid and cloud database management. The detailed descriptions of research prototypes dealing with spatiotemporal or genomic data will also be useful for application engineers in these fields.

Cloud Database Development and Management

Lee Chao
Cloud Database Development and Management Book PDF

Author : Lee Chao
Publisher : CRC Press
Page : 491 pages
File Size : 47,6 Mb
Release : 2013-07-26
Category : Computers
ISBN : 9781466565050

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Cloud Database Development and Management by Lee Chao Pdf

Although today’s job market requires IT professionals to understand cloud computing theories and have hands-on skills for developing real-world database systems, there are few books available that integrate coverage of both. Filling this void, Cloud Database Development and Management explains how readers can take advantage of the cloud environment to develop their own fully functioning database systems without any additional investment in IT infrastructure. Filled with step-by-step instructions, examples, and hands-on projects, the book begins by providing readers with the required foundation in database systems and cloud-based database development tools. It supplies detailed instructions on setting up data storage on Windows Azure and also explains how readers can develop their own virtual machines with Windows Server 2012 as the guest operating system. The book’s wide-ranging coverage includes database design, database implementation, database deployment to the cloud environment, SQL Database, Table Storage service, Blob Storage service, Queue Storage service, and database application development. The text deals with all three aspects of database design: conceptual design, logical design, and physical design. It introduces the SQL language, explains how to use SQL to create database objects, and introduces the migration of the database between Windows Azure and the on-premises SQL Server. It also discusses the management tasks that keep both SQL Database and Windows Azure running smoothly. Detailing how to design, implement, and manage database systems in the cloud, the book provides you with tools that can make your cloud database development much more efficient and flexible. Its easy-to-follow instructions will help you develop the hands-on skills needed to store and manage critical business information and to make that data available anytime through the Internet.

Advanced Data Management

Lena Wiese
Advanced Data Management Book PDF

Author : Lena Wiese
Publisher : Walter de Gruyter GmbH & Co KG
Page : 374 pages
File Size : 47,6 Mb
Release : 2015-10-29
Category : Computers
ISBN : 9783110433074

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Advanced Data Management by Lena Wiese Pdf

Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions. This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.

Web-Scale Data Management for the Cloud

Wolfgang Lehner,Kai-Uwe Sattler
Web Scale Data Management for the Cloud Book PDF

Author : Wolfgang Lehner,Kai-Uwe Sattler
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 41,5 Mb
Release : 2013-04-06
Category : Computers
ISBN : 9781461468561

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Web-Scale Data Management for the Cloud by Wolfgang Lehner,Kai-Uwe Sattler Pdf

The efficient management of a consistent and integrated database is a central task in modern IT and highly relevant for science and industry. Hardly any critical enterprise solution comes without any functionality for managing data in its different forms. Web-Scale Data Management for the Cloud addresses fundamental challenges posed by the need and desire to provide database functionality in the context of the Database as a Service (DBaaS) paradigm for database outsourcing. This book also discusses the motivation of the new paradigm of cloud computing, and its impact to data outsourcing and service-oriented computing in data-intensive applications. Techniques with respect to the support in the current cloud environments, major challenges, and future trends are covered in the last section of this book. A survey addressing the techniques and special requirements for building database services are provided in this book as well.

Smart Grid Technology

Sudip Misra,Samaresh Bera
Smart Grid Technology Book PDF

Author : Sudip Misra,Samaresh Bera
Publisher : Cambridge University Press
Page : 277 pages
File Size : 55,9 Mb
Release : 2018-07-12
Category : Computers
ISBN : 9781108475204

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Smart Grid Technology by Sudip Misra,Samaresh Bera Pdf

Discusses concepts of smart grid technologies, from the perspective of integration with cloud computing and data management approaches.

Data Management at Scale

Piethein Strengholt
Data Management at Scale Book PDF

Author : Piethein Strengholt
Publisher : "O'Reilly Media, Inc."
Page : 412 pages
File Size : 43,6 Mb
Release : 2023-04-10
Category : Computers
ISBN : 9781098138837

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Data Management at Scale by Piethein Strengholt Pdf

As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and more Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

The Informed Company

Dave Fowler,Matthew C. David
The Informed Company Book PDF

Author : Dave Fowler,Matthew C. David
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 55,9 Mb
Release : 2021-10-26
Category : Business & Economics
ISBN : 9781119748007

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The Informed Company by Dave Fowler,Matthew C. David Pdf

Learn how to manage a modern data stack and get the most out of data in your organization! Thanks to the emergence of new technologies and the explosion of data in recent years, we need new practices for managing and getting value out of data. In the modern, data driven competitive landscape the "best guess" approach—reading blog posts here and there and patching together data practices without any real visibility—is no longer going to hack it. The Informed Company provides definitive direction on how best to leverage the modern data stack, including cloud computing, columnar storage, cloud ETL tools, and cloud BI tools. You'll learn how to work with Agile methods and set up processes that's right for your company to use your data as a key weapon for your success . . . You'll discover best practices for every stage, from querying production databases at a small startup all the way to setting up data marts for different business lines of an enterprise. In their work at Chartio, authors Fowler and David have learned that most businesspeople are almost completely self-taught when it comes to data. If they are using resources, those resources are outdated, so they're missing out on the latest cloud technologies and advances in data analytics. This book will firm up your understanding of data and bring you into the present with knowledge around what works and what doesn't. Discover the data stack strategies that are working for today's successful small, medium, and enterprise companies Learn the different Agile stages of data organization, and the right one for your team Learn how to maintain Data Lakes and Data Warehouses for effective, accessible data storage Gain the knowledge you need to architect Data Warehouses and Data Marts Understand your business's level of data sophistication and the steps you can take to get to "level up" your data The Informed Company is the definitive data book for anyone who wants to work faster and more nimbly, armed with actionable decision-making data.

Fast and Scalable Cloud Data Management

Felix Gessert,Wolfram Wingerath,Norbert Ritter
Fast and Scalable Cloud Data Management Book PDF

Author : Felix Gessert,Wolfram Wingerath,Norbert Ritter
Publisher : Springer Nature
Page : 199 pages
File Size : 43,5 Mb
Release : 2020-05-15
Category : Computers
ISBN : 9783030435066

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Fast and Scalable Cloud Data Management by Felix Gessert,Wolfram Wingerath,Norbert Ritter Pdf

The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well. To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user). By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.

Cloud Database: Empowering Scalable and Flexible Data Management

Dr. A. Karunamurthy,M. Yuvaraj,J. Shahithya,V. Thenmozhi
Cloud Database Empowering Scalable and Flexible Data Management Book PDF

Author : Dr. A. Karunamurthy,M. Yuvaraj,J. Shahithya,V. Thenmozhi
Publisher : Quing: International Journal of Innovative Research in Science and Engineering
Page : 23 pages
File Size : 55,9 Mb
Release : 2023-03-30
Category : Computers
ISBN : 8210379456XXX

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Cloud Database: Empowering Scalable and Flexible Data Management by Dr. A. Karunamurthy,M. Yuvaraj,J. Shahithya,V. Thenmozhi Pdf

This paper explores the concept of cloud database, which leverages the power of cloud computing to provide scalable and flexible data management solutions. It discusses the benefits, challenges, and considerations associated with adopting cloud databases, along with various architectural models and deployment options. The chapter also delves into the key features, such as elasticity, high availability, and data security, offered by cloud databases. Furthermore, it examines the role of cloud databases in modern applications, including their integration with other cloud services and their ability to support big data analytics. The chapter concludes by highlighting future trends and advancements in cloud database technologies.

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 : 53,9 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.

Integrating AI in Iot Analytics on the Cloud for Healthcare Applications

D. Jeya Mala
Integrating AI in Iot Analytics on the Cloud for Healthcare Applications Book PDF

Author : D. Jeya Mala
Publisher : Unknown
Page : 128 pages
File Size : 52,8 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 1799891321

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Integrating AI in Iot Analytics on the Cloud for Healthcare Applications by D. Jeya Mala Pdf

"The objectives of the book are to apply AI in edge analytics for healthcare applications and to analyze the impact of tools, techniques and security solutions in Edge Analytics for Healthcare"--

Data Management in Cloud, Grid and P2P Systems

Abdelkader Hameurlain,Wenny Rahayu,David Taniar
Data Management in Cloud Grid and P2P Systems Book PDF

Author : Abdelkader Hameurlain,Wenny Rahayu,David Taniar
Publisher : Springer
Page : 125 pages
File Size : 55,5 Mb
Release : 2013-08-21
Category : Computers
ISBN : 9783642400537

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Data Management in Cloud, Grid and P2P Systems by Abdelkader Hameurlain,Wenny Rahayu,David Taniar Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2013, held in Prague, Czech Republic, in August 2013 in conjunction with DEXA 2013. The 10 revised full papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: data partitioning and consistency; RDF data publishing, querying linked data, and applications; and distributed storage systems and virtualization.

Data Management at Scale

Piethein Strengholt
Data Management at Scale Book PDF

Author : Piethein Strengholt
Publisher : O'Reilly Media
Page : 348 pages
File Size : 47,6 Mb
Release : 2020-07-29
Category : Computers
ISBN : 9781492054757

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Data Management at Scale by Piethein Strengholt Pdf

As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

In-Memory Data Management

Hasso Plattner,Alexander Zeier
In Memory Data Management Book PDF

Author : Hasso Plattner,Alexander Zeier
Publisher : Springer Science & Business Media
Page : 286 pages
File Size : 42,7 Mb
Release : 2012-04-17
Category : Business & Economics
ISBN : 9783642295751

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In-Memory Data Management by Hasso Plattner,Alexander Zeier Pdf

In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.