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Architecting Real Time Analytics With Druid


Architecting Real Time Analytics With Druid
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Architecting Real Time Analytics With Druid


Architecting Real Time Analytics With Druid
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-12

Architecting Real Time Analytics With Druid written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Computers categories.


"Architecting Real-Time Analytics with Druid" "Architecting Real-Time Analytics with Druid" is a comprehensive guide for engineers, architects, and data professionals seeking to harness the full power of Apache Druid for large-scale, low-latency analytics. The book opens with a thorough exploration of the real-time analytics landscape, carefully positioning Druid within the modern data ecosystem alongside databases, warehouses, and stream processors. Readers are equipped with foundational context on the architectural drivers behind real-time analytics, receive guidance on navigating the book based on their unique use cases, and benefit from a candid discussion of both success factors and common pitfalls for organizations new to this fast-evolving space. Delving into the technical depths, the book systematically unpacks Druid’s architecture, including its core components, storage internals, and data ingestion pipelines supporting both stream and batch modalities. It offers advanced strategies for modeling schemas, managing high-cardinality and semi-structured data, and tuning ingestion for correctness and resilience at scale. Chapters on query performance, resource management, high availability, and operational best practices ensure that readers can design, deploy, and maintain robust Druid clusters able to withstand the rigors of production workloads in fields ranging from financial surveillance to IoT telemetry. Recognizing the multifaceted needs of contemporary analytics platforms, "Architecting Real-Time Analytics with Druid" extends its coverage to advanced Druid extensions, integration patterns for BI and data science, and the implementation of security, governance, and compliance protocols. The book brings theory to life through case studies drawn from mission-critical deployments in telecommunications, fraud detection, and media analytics, concluding with a forward-looking view on serverless architectures, AI-driven operations, and emerging trends shaping the future of real-time analytics. This resource is essential reading for anyone seeking to build resilient, scalable, and innovative analytics solutions with Apache Druid at their core.



Memcached Architecture And Deployment


Memcached Architecture And Deployment
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-01

Memcached Architecture And Deployment written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Computers categories.


"Memcached Architecture and Deployment" "Memcached Architecture and Deployment" delivers a comprehensive and authoritative exploration of Memcached—from its foundational principles and architectural evolution to advanced deployment and optimization strategies. Carefully structured into thematic chapters, this book guides readers through the core concepts and inner workings of Memcached, including process models, memory management, security, and protocols. Discerning examinations reveal how Memcached compares to related technologies, elucidate common use cases in modern systems, and provide practical insights for integrating and scaling distributed caching effectively. With an emphasis on real-world applicability, the book details deployment models spanning on-premises, cloud-native, and hybrid environments, addressing challenges such as service discovery, automation, and zero-downtime upgrades. Readers gain essential knowledge on high-availability architectures, advanced sharding, geo-distributed clusters, and robust performance optimization techniques. Each chapter combines in-depth theoretical context with actionable guidance, including strategies for monitoring, troubleshooting, and maintaining operational excellence at scale. Security, compliance, and best practices for integration are thoroughly covered to ensure resilient, enterprise-grade deployments. Additionally, the book looks ahead to the future of in-memory caching, discussing trends like AI-enhanced caching, edge computing, and hybrid architectural patterns. Whether you are an architect, DevOps engineer, or developer, "Memcached Architecture and Deployment" is an indispensable reference for mastering distributed caching in today’s data-driven ecosystem.



Real Time Big Data Analytics Emerging Architecture


Real Time Big Data Analytics Emerging Architecture
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Author : Mike Barlow
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-06-24

Real Time Big Data Analytics Emerging Architecture written by Mike Barlow 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 2013-06-24 with Computers categories.


Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to getthe results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.



Empowering Iot With Big Data Analytics


Empowering Iot With Big Data Analytics
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Author : Mohamed Adel Serhani
language : en
Publisher: Elsevier
Release Date : 2024-11-16

Empowering Iot With Big Data Analytics written by Mohamed Adel Serhani and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-16 with Computers categories.


Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization.Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data. - Introduces fundamental concepts of big data analytics and their applications to IoT - Helps readers learn to leverage big data storage, processing and analysis tools, and techniques to promote IoT applications for better decision-making - Explores federated learning in big data to ensure data privacy and handle data heterogeneity



Government 3 0 Next Generation Government Technology Infrastructure And Services


Government 3 0 Next Generation Government Technology Infrastructure And Services
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Author : Adegboyega Ojo
language : en
Publisher: Springer
Release Date : 2017-10-26

Government 3 0 Next Generation Government Technology Infrastructure And Services written by Adegboyega Ojo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-26 with Law categories.


Historically, technological change has had significant effect on the locus of administrative activity, cost of carrying out administrative tasks, the skill sets needed by officials to effectively function, rules and regulations, and the types of interactions citizens have with their public authorities. Next generation Public Sector Innovation will be “Government 3.0” powered by innovations related to Open and big data, administrative and business process management, Internet-of-Things and blockchains for public sector innovation to drive improvements in service delivery, decision and policy making and resource management. This book provides fresh insights into this transformation while also examining possible negative side effects of the increasing ope nness of governments through the adoption of these new innovations. The goal is for technology policy makers to engage with the visions of Government 3.0 . Researchers should be able to critically examine some of the innovations described in the book as the basis for developing research agendas related to challenges associated with the adoption and use of some of the associated technologies. The book serves as a rich source of materials from leading experts in the field that enables Public administration practitioners to better understand how these new technologies impact traditional public administration paradigms. The book is suitable for graduate courses in Public Sector Innovation, Innovation in Public Administration, E-Government and Information Systems. Public sector technology policy makers, e-government, information systems and public administration researchers and practitioners should all benefit from reading this book.



Heron Streaming


Heron Streaming
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Author : Huijun Wu
language : en
Publisher: Springer Nature
Release Date : 2021-03-19

Heron Streaming written by Huijun Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-19 with Computers categories.


This book provides both a basic understanding of stream processing in general, and practical guidance for development and research with Apache Heron in particular. It delivers to developers of streaming applications basic and systematic knowledge about Heron, which is today only scattered across project documents, technique blogs and code snippets on the Web. The book is organized in four parts: Part I describes basic knowledge about stream processing, Apache Storm, and Apache Heron (Incubating), and also introduces the Heron source repository. Part II then goes into details and describes two data models to write Heron topologies and often used topology features, including stateful processing. This part is especially targeted at software developers who write topologies using Heron APIs. Next, part III describes Heron tools, including the command-line interface and the user interface, needed to manage a single topology or multiple topologies in a data center. This part is particularly aimed at operators who deploy and manage running jobs. Eventually, part IV describes the Heron source code and how to customize or extend Heron. This part is especially suggested for software engineers who would like to contribute code to the Heron repository and who are curious about Heron insights. Overall, this book aims at professionals who want to process streaming data based on Apache Heron. A basic knowledge of Java and Bash commands for Linux is assumed.



Advanced Data Management


Advanced Data Management
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Author : Lena Wiese
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2015-10-29

Advanced Data Management written by Lena Wiese and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-29 with Computers categories.


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.



Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025


Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025
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Author : Author:1-Amit Ojha, Author:2-Mr. Kumar Pal Singh
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025 written by Author:1-Amit Ojha, Author:2-Mr. Kumar Pal Singh and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


PREFACE In an age where artificial intelligence is no longer a futuristic concept but a fundamental driver of digital transformation, the convergence of AI and platform architecture is redefining how we innovate, interact, and transact. The rise of AI-native digital platforms marks a profound shift in technological design, one that transcends traditional boundaries and paves the way for adaptive, intelligent, and autonomous systems capable of responding to evolving market demands in real time. This book, AI-Native Digital Platforms: Architecting the Next Wave of Commerce and Intelligence, is an exploration of the emerging paradigm in which artificial intelligence is embedded at the very core of digital platform design. It aims to offer a comprehensive framework for understanding how AI reshapes platform architecture—across data pipelines, microservices, edge computing, cloud orchestration, API ecosystems, and user experience personalization. From dynamic supply chains to intelligent customer engagement, AI-native platforms are becoming the backbone of future-ready enterprises. We begin with foundational concepts of digital platforms and AI technologies, then progress through architectural principles, design patterns, case studies, and strategic implementation models. The book addresses key challenges such as ethical AI governance, scalability, interoperability, security, and data sovereignty, all while emphasizing real-world applications across e-commerce, fintech, healthcare, smart cities, and industrial automation. Intending for technology leaders, architects, data scientists, product strategists, and academic researchers, this book bridges the gap between theoretical AI capabilities and practical platform engineering. It reflects a multi-disciplinary perspective shaped by innovations in machine learning, distributed systems, human-centered design, and business intelligence. As AI-native platforms become central to global digital economies, the decisions we make today will influence the societal, ethical, and economic fabric of tomorrow. This book is a guide and a call to action—for building platforms that are not only intelligent but also inclusive, sustainable, and resilient. Authors



Software Architecture


Software Architecture
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Author : Antónia Lopes
language : en
Publisher: Springer
Release Date : 2017-08-24

Software Architecture written by Antónia Lopes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-24 with Computers categories.


This book constitutes the proceedings of the 11th European Conference on Software Architecture, ECSA 2017, held in Canterbury, UK, in September 2017. The 9 full papers presented together with 12 short papers and one keynote talk were carefully reviewed and selected from 54 submissions. They are organized in topical sections on Software Architecture Analysis and Verification; Software Architecture Evolution; Automatic Generation; Architectural Decisions; Software Architecture Practice.​



Big Data Bigdata 2018


Big Data Bigdata 2018
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Author : Francis Y. L. Chin
language : en
Publisher: Springer
Release Date : 2018-06-20

Big Data Bigdata 2018 written by Francis Y. L. Chin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-20 with Computers categories.


This volume constitutes the proceedings of the 7th International Conference on BIGDATA 2018, held as Part of SCF 2018 in Seattle, WA, USA in June 2018. The 22 full papers together with 10 short papers published in this volume were carefully reviewed and selected from 97 submissions. They are organized in topical sections such as Data analysis, data as a service, services computing, data conversion, data storage, data centers, dataflow architectures, data compression, data exchange, data modeling, databases, and data management.