Data Systems

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Big Data Systems

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Author : Jawwad Ahmed Shamsi
language : en
Publisher: CRC Press
Release Date : 2021-05-10

Big Data Systems written by Jawwad Ahmed Shamsi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-10 with Business & Economics categories.

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. Similarly, variations in big data systems also exist related to consistency and fault tolerance. The purpose of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. An illustrative and practical approach has been adopted in which theoretical topics have been aided by well-explained programming and illustrative examples. Key Features: Introduces concepts and evolution of Big Data technology. Illustrates examples for thorough understanding. Contains programming examples for hands on development. Explains a variety of topics including NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning. Exemplifies widely used big data technologies such as Hadoop and Spark. Includes discussion on case studies and open issues. Provides end of chapter questions for enhanced learning.

Aircraft Year Book

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Author : Fay Leone Faurote
language : en
Publisher:
Release Date : 1959

Aircraft Year Book written by Fay Leone Faurote and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1959 with Aeronautics categories.

Big Data

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Author : James Warren
language : en
Publisher: Simon and Schuster
Release Date : 2015-04-29

Big Data written by James Warren and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-29 with Computers categories.

Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth

Designing Modern Data Systems

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Author : Jonah Prescott
language : en
Publisher: Richa Publishing Minds
Release Date :

Designing Modern Data Systems written by Jonah Prescott and has been published by Richa Publishing Minds this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Designing Modern Data Systems Decision-Focused Software Architecture for Data Engineering, System Design, and Large Language Model Platforms By Jonah Prescott Data systems outlive applications, frameworks, and infrastructure. They encode decisions that shape what a system can become—and what it can never safely change. Designing Modern Data Systems is a deep, decision-driven guide to building data systems that are reliable, scalable, and adaptable over time. Rather than focusing on tools or trends, this book teaches how to reason about architecture itself: how guarantees are chosen, where authority lives, how failures manifest, and how systems evolve under real-world pressure. Written for experienced engineers and architects, the book treats data systems as long-lived sociotechnical systems—not just databases or pipelines. It focuses on clarity of responsibility, explicit trade-offs, and preserving meaning as data moves, changes, and ages. What This Book Covers This book takes a structured journey through modern data system design: How to define data systems as distinct from applications and infrastructure How non-functional requirements like reliability, availability, latency, and cost shape architecture long before technology choices How to design data models, storage engines, and indexing strategies that survive product evolution How to reason about replication, partitioning, coordination, and distributed transactions without accidental complexity How batch and stream processing fit into a unified view of data over time How logs, history, and derived data enable recovery, reprocessing, and safe change How to operate systems in production with observability, backpressure, and failure isolation How to design data systems that support machine learning and large language model platforms, including feature pipelines and embeddings How to migrate, evolve, and decommission systems without outages or loss of trust Throughout the book, ideas are grounded in a single evolving reference system, allowing readers to see how architectural decisions accumulate and interact as requirements change. What Makes This Book Different Decision-focused, not tool-driven The book avoids product comparisons and instead teaches how to evaluate any technology within clear architectural constraints. Explicit trade-offs, not recipes Every design choice is examined in terms of what it enables, what it forbids, and what it costs. Modern, without being trendy AI and LLM systems are addressed where they introduce real architectural pressure—without hype or speculation. Written for longevity The principles in this book are designed to remain relevant as tools, platforms, and organizational structures change. Who This Book Is For This book is written for: Software engineers designing backend and platform systems Data engineers responsible for storage, processing, and pipelines Staff, principal, and senior engineers shaping architectural direction Architects and technical leaders responsible for long-term system evolution Practitioners preparing for system design interviews who want judgment, not templates It assumes familiarity with software systems and databases, but does not require expertise in any specific language, framework, or vendor. What This Book Is Not This is not: A beginner’s introduction to databases A step-by-step tutorial for specific tools A catalog of technologies or patterns Instead, it is a book about how to think clearly about data systems, and how to design them so they remain understandable, trustworthy, and changeable over time. If you are responsible for making architectural decisions—and living with their consequences—Designing Modern Data Systems is written for you.

Ire Transactions On Telemetry And Remote Control

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Author :
language : en
Publisher:
Release Date : 1954

Ire Transactions On Telemetry And Remote Control written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1954 with Astrionics categories.

Progress In System And Robot Analysis And Control Design

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Author : Spyros G. Tzafestas
language : en
Publisher: Springer
Release Date : 1999-05-14

Progress In System And Robot Analysis And Control Design written by Spyros G. Tzafestas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-05-14 with Computers categories.

The fields of control and robotics are now at an advanced level of maturity both in theory and practice. Numerous systems are used effectively in industrial production and other sectors of modern life. This volume contains a well-balanced collection of over fifty papers focusing on analysis and design problems. The current trends and advances in the fields are reflected. Topics covered include: system analysis, identification and stability optimal, adaptive, robust and QFT controller design design and application of driving simulators industrial robots and telemanipulators mobile, service, and legged robots virtual reality in robotics The book brings together important original results derived from a variety of academic and engineering environments. Also, it serves as a timely reference volume for the researcher and practitioner.

Western Aerospace

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Author :
language : en
Publisher:
Release Date : 1960

Western Aerospace written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1960 with Aeronautics categories.

Office Administration And Automation

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Author :
language : en
Publisher:
Release Date : 1983

Office Administration And Automation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Business categories.

Fundamentals Of Data Engineering

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Author : Joe Reis
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-22

Fundamentals Of Data Engineering written by Joe Reis 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 2022-06-22 with Computers categories.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle

Electronicsweek

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Author :
language : en
Publisher:
Release Date : 1985

Electronicsweek written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Electronics categories.