Foundations Of Data Intensive Applications

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Foundations of Data Intensive Applications

Supun Kamburugamuve,Saliya Ekanayake
Foundations of Data Intensive Applications Book PDF

Author : Supun Kamburugamuve,Saliya Ekanayake
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 55,6 Mb
Release : 2021-08-11
Category : Computers
ISBN : 9781119713012

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Foundations of Data Intensive Applications by Supun Kamburugamuve,Saliya Ekanayake Pdf

PEEK “UNDER THE HOOD” OF BIG DATA ANALYTICS The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance. The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within. Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system. Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to: Identify the foundations of large-scale, distributed data processing systems Make major software design decisions that optimize performance Diagnose performance problems and distributed operation issues Understand state-of-the-art research in big data Explain and use the major big data frameworks and understand what underpins them Use big data analytics in the real world to solve practical problems

Designing Data-Intensive Applications

Martin Kleppmann
Designing Data Intensive Applications Book PDF

Author : Martin Kleppmann
Publisher : "O'Reilly Media, Inc."
Page : 614 pages
File Size : 51,9 Mb
Release : 2017-03-16
Category : Computers
ISBN : 9781491903117

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Designing Data-Intensive Applications by Martin Kleppmann Pdf

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

Designing Data-Intensive Applications

Martin Kleppmann
Designing Data Intensive Applications Book PDF

Author : Martin Kleppmann
Publisher : "O'Reilly Media, Inc."
Page : 658 pages
File Size : 49,5 Mb
Release : 2017-03-16
Category : Computers
ISBN : 9781491903100

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Designing Data-Intensive Applications by Martin Kleppmann Pdf

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

Morgan Kaufmann series in data management systems

Stefano Ceri,Piero Fraternali,Aldo Bongio,Marco Brambilla,Sara Comai,Maristella Matera
Morgan Kaufmann series in data management systems Book PDF

Author : Stefano Ceri,Piero Fraternali,Aldo Bongio,Marco Brambilla,Sara Comai,Maristella Matera
Publisher : Morgan Kaufmann
Page : 596 pages
File Size : 51,9 Mb
Release : 2003
Category : Computers
ISBN : 1558608435

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Morgan Kaufmann series in data management systems by Stefano Ceri,Piero Fraternali,Aldo Bongio,Marco Brambilla,Sara Comai,Maristella Matera Pdf

This text represents a breakthrough in the process underlying the design of the increasingly common and important data-driven Web applications.

Foundations for Architecting Data Solutions

Ted Malaska,Jonathan Seidman
Foundations for Architecting Data Solutions Book PDF

Author : Ted Malaska,Jonathan Seidman
Publisher : "O'Reilly Media, Inc."
Page : 190 pages
File Size : 55,9 Mb
Release : 2018-08-29
Category : Computers
ISBN : 9781492038696

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Foundations for Architecting Data Solutions by Ted Malaska,Jonathan Seidman Pdf

While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects. Everyone from CIOs and COOs to lead architects and developers will explore a variety of big data architectures and applications, from massive data pipelines to web-scale applications. Each chapter addresses a piece of the software development life cycle and identifies patterns to maximize long-term success throughout the life of your project. Start the planning process by considering the key data project types Use guidelines to evaluate and select data management solutions Reduce risk related to technology, your team, and vague requirements Explore system interface design using APIs, REST, and pub/sub systems Choose the right distributed storage system for your big data system Plan and implement metadata collections for your data architecture Use data pipelines to ensure data integrity from source to final storage Evaluate the attributes of various engines for processing the data you collect

The Future Of Fusion Energy

Jason Parisi,Justin Ball
The Future Of Fusion Energy Book PDF

Author : Jason Parisi,Justin Ball
Publisher : World Scientific
Page : 405 pages
File Size : 50,5 Mb
Release : 2019-01-02
Category : Science
ISBN : 9781786345448

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The Future Of Fusion Energy by Jason Parisi,Justin Ball Pdf

'The text provides an interesting history of previous and anticipated accomplishments, ending with a chapter on the relationship of fusion power to nuclear weaponry. They conclude on an optimistic note, well worth being understood by the general public.'CHOICEThe gap between the state of fusion energy research and public understanding is vast. In an entertaining and engaging narrative, this popular science book gives readers the basic tools to understand how fusion works, its potential, and contemporary research problems.Written by two young researchers in the field, The Future of Fusion Energy explains how physical laws and the Earth's energy resources motivate the current fusion program — a program that is approaching a critical point. The world's largest science project and biggest ever fusion reactor, ITER, is nearing completion. Its success could trigger a worldwide race to build a power plant, but failure could delay fusion by decades. To these ends, this book details how ITER's results could be used to design an economically competitive power plant as well as some of the many alternative fusion concepts.

Ontology Engineering with Ontology Design Patterns: Foundations and Applications

P. Hitzler,A. Gangemi,K. Janowicz
Ontology Engineering with Ontology Design Patterns Foundations and Applications Book PDF

Author : P. Hitzler,A. Gangemi,K. Janowicz
Publisher : IOS Press
Page : 388 pages
File Size : 55,5 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9781614996767

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Ontology Engineering with Ontology Design Patterns: Foundations and Applications by P. Hitzler,A. Gangemi,K. Janowicz Pdf

The use of ontologies for data and knowledge organization has become ubiquitous in many data-intensive and knowledge-driven application areas, in science, industry, and the humanities. At the same time, ontology engineering best practices continue to evolve. In particular, modular ontology modeling based on ontology design patterns is establishing itself as an approach for creating versatile and extendable ontologies for data management and integration. This book is the very first comprehensive treatment of Ontology Engineering with Ontology Design Patterns. It contains both advanced and introductory material accessible for readers with only a minimal background in ontology modeling. Some introductory material is written in the style of tutorials, and specific chapters are devoted to examples and to applications. Other chapters convey the state of the art in research regarding ontology design patterns. The editors and the contributing authors include the leading contributors to the development of ontology-design-pattern-driven ontology engineering.

Software Engineering for Variability Intensive Systems

Ivan Mistrik,Matthias Galster,Bruce R. Maxim
Software Engineering for Variability Intensive Systems Book PDF

Author : Ivan Mistrik,Matthias Galster,Bruce R. Maxim
Publisher : CRC Press
Page : 366 pages
File Size : 51,5 Mb
Release : 2019-01-15
Category : Computers
ISBN : 9780429666742

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Software Engineering for Variability Intensive Systems by Ivan Mistrik,Matthias Galster,Bruce R. Maxim Pdf

This book addresses the challenges in the software engineering of variability-intensive systems. Variability-intensive systems can support different usage scenarios by accommodating different and unforeseen features and qualities. The book features academic and industrial contributions that discuss the challenges in developing, maintaining and evolving systems, cloud and mobile services for variability-intensive software systems and the scalability requirements they imply. The book explores software engineering approaches that can efficiently deal with variability-intensive systems as well as applications and use cases benefiting from variability-intensive systems.

Data-Intensive Text Processing with MapReduce

Jimmy Lin,Chris Dyer
Data Intensive Text Processing with MapReduce Book PDF

Author : Jimmy Lin,Chris Dyer
Publisher : Springer Nature
Page : 171 pages
File Size : 40,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031021367

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Data-Intensive Text Processing with MapReduce by Jimmy Lin,Chris Dyer Pdf

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks

Understanding Distributed Systems, Second Edition

Roberto Vitillo
Understanding Distributed Systems Second Edition Book PDF

Author : Roberto Vitillo
Publisher : Roberto Vitillo
Page : 344 pages
File Size : 43,5 Mb
Release : 2022-02-23
Category : Computers
ISBN : 9781838430214

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Understanding Distributed Systems, Second Edition by Roberto Vitillo Pdf

Learning to build distributed systems is hard, especially if they are large scale. It's not that there is a lack of information out there. You can find academic papers, engineering blogs, and even books on the subject. The problem is that the available information is spread out all over the place, and if you were to put it on a spectrum from theory to practice, you would find a lot of material at the two ends but not much in the middle. That is why I decided to write a book that brings together the core theoretical and practical concepts of distributed systems so that you don't have to spend hours connecting the dots. This book will guide you through the fundamentals of large-scale distributed systems, with just enough details and external references to dive deeper. This is the guide I wished existed when I first started out, based on my experience building large distributed systems that scale to millions of requests per second and billions of devices. If you are a developer working on the backend of web or mobile applications (or would like to be!), this book is for you. When building distributed applications, you need to be familiar with the network stack, data consistency models, scalability and reliability patterns, observability best practices, and much more. Although you can build applications without knowing much of that, you will end up spending hours debugging and re-architecting them, learning hard lessons that you could have acquired in a much faster and less painful way. However, if you have several years of experience designing and building highly available and fault-tolerant applications that scale to millions of users, this book might not be for you. As an expert, you are likely looking for depth rather than breadth, and this book focuses more on the latter since it would be impossible to cover the field otherwise. The second edition is a complete rewrite of the previous edition. Every page of the first edition has been reviewed and where appropriate reworked, with new topics covered for the first time.

Data Pipelines Pocket Reference

James Densmore
Data Pipelines Pocket Reference Book PDF

Author : James Densmore
Publisher : O'Reilly Media
Page : 277 pages
File Size : 41,5 Mb
Release : 2021-02-10
Category : Computers
ISBN : 9781492087809

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Data Pipelines Pocket Reference by James Densmore Pdf

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting

Data Structures for Data-Intensive Applications

Manos Athanassoulis,Stratos Idreos,Dennis Shasha
Data Structures for Data Intensive Applications Book PDF

Author : Manos Athanassoulis,Stratos Idreos,Dennis Shasha
Publisher : Unknown
Page : 0 pages
File Size : 50,7 Mb
Release : 2023
Category : COMPUTERS
ISBN : 1638281858

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Data Structures for Data-Intensive Applications by Manos Athanassoulis,Stratos Idreos,Dennis Shasha Pdf

Data structures are the means by which software programs store and retrieve data. This monograph focuses on key-value data structures, which are widely used for data-intensive applications thanks to the versatility of the key-value data model. Key-value data structures constitute the core of any data-driven system. They provide the means to store, search, and modify data residing at various levels of the storage and memory hierarchy. Designing efficient data structures for given workloads has long been a focus of research and practice in both academia and industry. Data Structures for Data-Intensive Applications explains the space of data structure design choices, how to select the appropriate data structure depending on the goals and workload of an application at hand, and how the ever-evolving hardware and data properties require innovations in data structure design. The overarching goal is to help the reader both select the best existing data structures and design and build new ones.

Data-intensive Systems

Tomasz Wiktorski
Data intensive Systems Book PDF

Author : Tomasz Wiktorski
Publisher : Springer
Page : 97 pages
File Size : 53,5 Mb
Release : 2019-01-01
Category : Computers
ISBN : 9783030046033

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Data-intensive Systems by Tomasz Wiktorski Pdf

Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is structured following a problem-based approach. This means that the content in the chapters is focused on developing solutions to simplified, but still realistic problems using data-intensive technologies and approaches. The reader follows one reference scenario through the whole book, that uses an open Apache dataset. The origins of this volume are in lectures from a master’s course in Data-intensive Systems, given at the University of Stavanger. Some chapters were also a base for guest lectures at Purdue University and Lodz University of Technology.

The Algorithmic Foundations of Differential Privacy

Cynthia Dwork,Aaron Roth
The Algorithmic Foundations of Differential Privacy Book PDF

Author : Cynthia Dwork,Aaron Roth
Publisher : Unknown
Page : 286 pages
File Size : 51,7 Mb
Release : 2014
Category : Computers
ISBN : 1601988184

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The Algorithmic Foundations of Differential Privacy by Cynthia Dwork,Aaron Roth Pdf

The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.

High-Performance Modelling and Simulation for Big Data Applications

Joanna Kołodziej,Horacio González-Vélez
High Performance Modelling and Simulation for Big Data Applications Book PDF

Author : Joanna Kołodziej,Horacio González-Vélez
Publisher : Springer
Page : 364 pages
File Size : 48,7 Mb
Release : 2019-03-25
Category : Computers
ISBN : 9783030162726

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High-Performance Modelling and Simulation for Big Data Applications by Joanna Kołodziej,Horacio González-Vélez Pdf

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.