Foundations Of Data Intensive Applications


Foundations Of Data Intensive Applications
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Foundations Of Data Intensive Applications


Foundations Of Data Intensive Applications
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Author : Supun Kamburugamuve
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-11

Foundations Of Data Intensive Applications written by Supun Kamburugamuve and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-11 with Computers categories.


PEEK โ€œUNDER THE HOODโ€ 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


Designing Data Intensive Applications
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Author : Martin Kleppmann
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-03-16

Designing Data Intensive Applications written by Martin Kleppmann and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-16 with Computers categories.


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



Data Structures For Data Intensive Applications


Data Structures For Data Intensive Applications
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Author : Manos Athanassoulis
language : en
Publisher:
Release Date : 2023

Data Structures For Data Intensive Applications written by Manos Athanassoulis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with COMPUTERS categories.


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.



Foundations For Architecting Data Solutions


Foundations For Architecting Data Solutions
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Author : Ted Malaska
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-08-29

Foundations For Architecting Data Solutions written by Ted Malaska and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Computers categories.


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



Data Intensive Systems


Data Intensive Systems
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Author : Tomasz Wiktorski
language : en
Publisher: Springer
Release Date : 2019-01-01

Data Intensive Systems written by Tomasz Wiktorski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-01 with Computers categories.


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 masterโ€™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.



Morgan Kaufmann Series In Data Management Systems


Morgan Kaufmann Series In Data Management Systems
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Author : Stefano Ceri
language : en
Publisher: Morgan Kaufmann
Release Date : 2003

Morgan Kaufmann Series In Data Management Systems written by Stefano Ceri and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.


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



Application Design


Application Design
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 101-01-01

Application Design written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 101-01-01 with Computers categories.


๐Ÿ“š Introducing the Ultimate Application Design Book Bundle! ๐Ÿš€ Are you ready to take your application design skills to the next level? Dive into the world of data-intensive app systems with our comprehensive book bundle, "Application Design: Key Principles for Data-Intensive App Systems." ๐ŸŒ๐Ÿ’ก ๐Ÿ“˜ Book 1 - Foundations of Application Design: Lay the groundwork for success with an introduction to key principles for data-intensive systems. From data modeling basics to architecture patterns, this volume sets the stage for mastering application design. ๐Ÿ“˜ Book 2 - Mastering Data-Intensive App Architecture: Elevate your skills with advanced techniques and best practices for architecting data-intensive applications. Explore distributed systems, microservices, and optimization strategies to build scalable and resilient systems. ๐Ÿ“˜ Book 3 - Scaling Applications: Learn essential strategies and tactics for handling data-intensive workloads. Discover performance optimization techniques, cloud computing, and containerization to scale your applications effectively. ๐Ÿ“˜ Book 4 - Expert Insights in Application Design: Gain valuable insights from industry experts and thought leaders. Explore cutting-edge approaches and innovations shaping the future of data-intensive application development. With a combined wealth of knowledge, these four books provide everything you need to succeed in the fast-paced world of application design. Whether you're a seasoned professional or just starting your journey, this bundle is your roadmap to success. ๐Ÿ›ฃ๏ธ๐Ÿ’ผ ๐Ÿš€ Don't miss out on this opportunity to master application design and unlock new possibilities in your career. Get your hands on the "Application Design: Key Principles for Data-Intensive App Systems" book bundle today! ๐ŸŒŸ๐Ÿ“ˆ



Data Intensive Distributed Computing Challenges And Solutions For Large Scale Information Management


Data Intensive Distributed Computing Challenges And Solutions For Large Scale Information Management
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Author : Kosar, Tevfik
language : en
Publisher: IGI Global
Release Date : 2012-01-31

Data Intensive Distributed Computing Challenges And Solutions For Large Scale Information Management written by Kosar, Tevfik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-31 with Computers categories.


"This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges"--Provided by publisher.



The Future Of Fusion Energy


The Future Of Fusion Energy
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Author : Jason Parisi
language : en
Publisher: World Scientific
Release Date : 2019-01-02

The Future Of Fusion Energy written by Jason Parisi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-02 with Science categories.


'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 โ€” 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.



Architecting Data Intensive Applications


Architecting Data Intensive Applications
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Author : Anuj Kumar
language : en
Publisher:
Release Date : 2018-07-31

Architecting Data Intensive Applications written by Anuj Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-31 with Computers categories.


Architect and design data-intensive applications and, in the process, learn how to collect, process, store, govern, and expose data for a variety of use cases Key Features Integrate the data-intensive approach into your application architecture Create a robust application layout with effective messaging and data querying architecture Enable smooth data flow and make the data of your application intensive and fast Book Description Are you an architect or a developer who looks at your own applications gingerly while browsing through Facebook and applauding it silently for its data-intensive, yet ๏ฌ‚uent and efficient, behaviour? This book is your gateway to build smart data-intensive systems by incorporating the core data-intensive architectural principles, patterns, and techniques directly into your application architecture. This book starts by taking you through the primary design challenges involved with architecting data-intensive applications. You will learn how to implement data curation and data dissemination, depending on the volume of your data. You will then implement your application architecture one step at a time. You will get to grips with implementing the correct message delivery protocols and creating a data layer that doesn't fail when running high traffic. This book will show you how you can divide your application into layers, each of which adheres to the single responsibility principle. By the end of this book, you will learn to streamline your thoughts and make the right choice in terms of technologies and architectural principles based on the problem at hand. What you will learn Understand how to envision a data-intensive system Identify and compare the non-functional requirements of a data collection component Understand patterns involving data processing, as well as technologies that help to speed up the development of data processing systems Understand how to implement Data Governance policies at design time using various Open Source Tools Recognize the anti-patterns to avoid while designing a data store for applications Understand the different data dissemination technologies available to query the data in an efficient manner Implement a simple data governance policy that can be extended using Apache Falcon Who this book is for This book is for developers and data architects who have to code, test, deploy, and/or maintain large-scale, high data volume applications. It is also useful for system architects who need to understand various non-functional aspects revolving around Data Intensive Systems.



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