A Deep Dive into NoSQL Databases: The Use Cases and Applications PDF Download

Author:
Publisher: Academic Press
ISBN: 0128137878
Category : Computers
Languages : en
Pages : 400

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Book Description
A Deep Dive into NoSQL Databases: The Use Cases and Applications, Volume 109, the latest release in the Advances in Computers series first published in 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. In addition, it provides contributors with a medium in which they can explore their subjects in greater depth and breadth. This update includes sections on NoSQL and NewSQL databases for big data analytics and distributed computing, NewSQL databases and scalable in-memory analytics, NoSQL web crawler application, NoSQL Security, a Comparative Study of different In-Memory (No/New)SQL Databases, NoSQL Hands On-4 NoSQLs, the Hadoop Ecosystem, and more. Provides a very comprehensive, yet compact, book on the popular domain of NoSQL databases for IT professionals, practitioners and professors Articulates and accentuates big data analytics and how it gets simplified and streamlined by NoSQL database systems Sets a stimulating foundation with all the relevant details for NoSQL database researchers, developers and administrators

Author: Suyog Dilip Kale
Publisher: BPB Publications
ISBN: 8194837766
Category : Computers
Languages : en
Pages : 239

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Book Description
Complete reference guide to Redis Ê KEY FEATURESÊÊ _ Complete coverage of Redis Modules. _ Best practices, tips and tricks, and expert techniques to scale Redis. _ Troubleshooting solutions to perform real-time faster data processing for client applications. Ê DESCRIPTIONÊÊ This book begins with teaching you to set up your own Redis environment, followed by Redis data structures, their architecture, and use cases. You get to learn the details about Redis Modules such as RediSearch, RedisJSON, RedisTimeSeries, RedisAI, and RedisGraph with specific business use-case examples. This book makes you a Redis Expert by getting you hands-on with best practices on Redis and some tricks to scale Redis activities. WHAT YOU WILL LEARN _ RedisÕs advantages over the other NOSQL databases. _ Explore Redis Enterprise and its real gameplay in enterprise applications. _ Learn Redis data structures through practically demonstrated use cases. _ Learn from Industry expert to setup the Redis in production environment. _ Understand how Redis enterprise enhances Redis OSS. Ê WHO THIS BOOK IS FORÊÊ This book is ideal for anyone who is interested in understanding the basic concepts of the Redis database. The book will help the IT professionals, Software developers, Technical leads, Architects. Readers should have a working knowledge of database designing, basic programming skills, and an understanding of the latest trends in cloud computing. Ê TABLE OF CONTENTS 1. Introduction to NoSQL World 2. NoSQL database types 3. Are NoSQL databases better than traditional databases? 4. History of Redis 5. Getting started with Redis 6. Setting up Redis 7. Redis Data Structures in details 8. Scaling Redis 9. Modules 10. Redis use cases 11. Redis as database service - enterprise solutions 12. What is new in Redis 6? 13. Appendix A (i) Using Redis-cli (ii) RedisInsight tool (iii) Community helps

Author: Kuan-Ching Li
Publisher: CRC Press
ISBN: 0429018029
Category : Business & Economics
Languages : en
Pages : 477

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Book Description
Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers

Author:
Publisher: Elsevier
ISBN: 0323898114
Category : Computers
Languages : en
Pages : 460

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Book Description
Principles of Big Graph: In-depth Insight, Volume 128 in the Advances in Computer series, highlights new advances in the field with this new volume presenting interesting chapters on a variety of topics, including CESDAM: Centered subgraph data matrix for large graph representation, Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications, An empirical investigation on Big Graph using deep learning, Analyzing correlation between quality and accuracy of graph clustering, geneBF: Filtering protein-coded gene graph data using bloom filter, Processing large graphs with an alternative representation, MapReduce based convolutional graph neural networks: A comprehensive review. Fast exact triangle counting in large graphs using SIMD acceleration, A comprehensive investigation on attack graphs, Qubit representation of a binary tree and its operations in quantum computation, Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data, Big graph based online learning through social networks, Community detection in large-scale real-world networks, Power rank: An interactive web page ranking algorithm, GA based energy efficient modelling of a wireless sensor network, The major challenges of big graph and their solutions: A review, and An investigation on socio-cyber crime graph. Provides an update on the issues and challenges faced by current researchers Updates on future research agendas Includes advanced topics for intensive research for researchers

Author: Shiho Kim
Publisher: Springer Nature
ISBN: 9811387753
Category : Technology & Engineering
Languages : en
Pages : 278

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Book Description
This contributed volume discusses diverse topics to demystify the rapidly emerging and evolving blockchain technology, the emergence of integrated platforms and hosted third-party tools, and the development of decentralized applications for various business domains. It presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of as well as the hindrances to this technology.

Author: Mostafa Ezziyyani
Publisher: Springer
ISBN: 3030119289
Category : Technology & Engineering
Languages : en
Pages : 1005

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Book Description
This book includes the outcomes of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), held in Tangier, Morocco on July 12–14, 2018. Presenting the latest research in the field of computing sciences and information technology, it discusses new challenges and provides valuable insights into the field, the goal being to stimulate debate, and to promote closer interaction and interdisciplinary collaboration between researchers and practitioners. Though chiefly intended for researchers and practitioners in advanced information technology management and networking, the book will also be of interest to those engaged in emerging fields such as data science and analytics, big data, internet of things, smart networked systems, artificial intelligence, expert systems and cloud computing.

Author: Janusz Kacprzyk
Publisher: Springer Nature
ISBN: 3030906337
Category : Technology & Engineering
Languages : en
Pages : 1173

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Book Description
This book publishes the best papers accepted and presented at the 3rd edition of the International Conference on Advanced Intelligent Systems for Sustainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy, and Security (AI2SD’2020). This conference is one of the biggest amalgamations of eminent researchers, students, and delegates from both academia and industry where the collaborators have an interactive access to emerging technology and approaches globally. In this book, readers find the latest ideas addressing technological issues relevant to all areas of the social and human sciences for sustainable development. Due to the nature of the conference with its focus on innovative ideas and developments, the book provides the ideal scientific and brings together very high-quality chapters written by eminent researchers from different disciplines, to discover the most recent developments in scientific research.

Author: Jacek Maślankowski
Publisher: Springer Nature
ISBN: 3031230124
Category : Computers
Languages : en
Pages : 146

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Book Description
This book constitutes the refereed proceedings of the 14th PLAIS EuroSymposium 2022 which was held in Sopot, Poland, on December 15, 2022. The objective of the PLAIS EuroSymposium is to promote and develop high quality research on all issues related to digital transformation. It provides a forum for IS researchers and practitioners in Europe and beyond to interact, collaborate, and develop this field. The leading topic for the EuroSymposium this year was “Digital Transformation”. The 8 papers presented in this volume were carefully reviewed and selected from 23 submissions. They were organized in topical sections named: artificial intelligence; creativity and innovations; big data, internet of things and blockchain technologies.

Author: Otavio Santana
Publisher: Packt Publishing Ltd
ISBN: 1837637660
Category : Computers
Languages : en
Pages : 202

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Book Description
The definitive guide for designing and delivering reliable and high-performing persistence layers using Java in the cloud-native age Purchase of the print or Kindle book includes a free PDF eBook Key Features Uncover database patterns for designing readable and maintainable architectures and Java applications Master various techniques to overcome application and architecture persistence challenges Discover painless application modernization with change-data-capture powered by cloud-native technologies Book Description Having a solid software architecture breathes life into tech solutions. In the early stages of an application's development, critical decisions need to be made, such as whether to go for microservices, a monolithic architecture, the event-driven approach, or containerization. In Java contexts, frameworks and runtimes also need to be defi ned. But one aspect is often overlooked – the persistence layer – which plays a vital role similar to that of data stores in modern cloud-native solutions. To optimize applications and data stores, a holistic understanding of best practices, technologies, and existing approaches is crucial. This book presents well-established patterns and standards that can be used in Java solutions, with valuable insights into the pros and cons of trending technologies and frameworks used in cloud-native microservices, alongside good Java coding practices. As you progress, you'll confront the challenges of cloud adoption head-on, particularly those tied to the growing need for cost reduction through stack modernization. Within these pages, you'll discover application modernization strategies and learn how enterprise data integration patterns and event-driven architectures enable smooth modernization processes with low-to-zero impact on the existing legacy stack. What you will learn Gain insights into data integration in Java services and the inner workings of frameworks Apply data design patterns to create a more readable and maintainable design system Understand the impact of design patterns on program performance Explore the role of cloud-native technologies in modern application persistence Optimize database schema designs and leverage indexing strategies for improved performance Implement proven strategies to handle data storage, retrieval, and management efficiently Who this book is for If you're a developer, engineer, or software architect working in the field of software development, particularly with a focus on Java solutions, this book is for you.

Author: Chinmay Arankalle
Publisher: Packt Publishing Ltd
ISBN: 1800206992
Category : Computers
Languages : en
Pages : 731

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Book Description
Explore how a data storage system works – from data ingestion to representation Key FeaturesUnderstand how artificial intelligence, machine learning, and deep learning are different from one anotherDiscover the data storage requirements of different AI apps using case studiesExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)Book Description Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one. The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You'll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you'll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You'll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you'll gain hands-on experience with PyTorch. Finally, you'll explore ways to run machine learning models in production as part of an AI application. By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods. What you will learnGet to grips with the fundamentals of artificial intelligenceUnderstand the importance of data storage and architecture in AI applicationsBuild data storage and workflow management systems with open source toolsContainerize your AI applications with tools such as DockerDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)Use the AWS CLI and AWS SDK to perform common data tasksWho this book is for If you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. Experienced programmers can use this book to advance their career in AI. Familiarity with programming, along with knowledge of exploratory data analysis and reading and writing files using Python will help you to understand the key concepts covered.