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

Anonim

Author : Anonim
Publisher : Academic Press
Page : 400 pages
File Size : 53,7 Mb
Release : 2018-04-20
Category : Computers
ISBN : 9780128137871

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A Deep Dive into NoSQL Databases: The Use Cases and Applications by Anonim Pdf

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

Redis¨ Deep Dive

Suyog Dilip Kale,Chinmay Kulkarni

Author : Suyog Dilip Kale,Chinmay Kulkarni
Publisher : BPB Publications
Page : 239 pages
File Size : 49,7 Mb
Release : 2021-02-18
Category : Computers
ISBN : 9788194837763

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Redis¨ Deep Dive by Suyog Dilip Kale,Chinmay Kulkarni Pdf

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

Smart Data

Kuan-Ching Li,Beniamino Di Martino,Laurence T. Yang,Qingchen Zhang

Author : Kuan-Ching Li,Beniamino Di Martino,Laurence T. Yang,Qingchen Zhang
Publisher : CRC Press
Page : 477 pages
File Size : 40,5 Mb
Release : 2019-03-19
Category : Business & Economics
ISBN : 9780429018022

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Smart Data by Kuan-Ching Li,Beniamino Di Martino,Laurence T. Yang,Qingchen Zhang Pdf

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

Principles of Big Graph: In-depth Insight

Anonim

Author : Anonim
Publisher : Elsevier
Page : 460 pages
File Size : 41,5 Mb
Release : 2023-01-24
Category : Computers
ISBN : 9780323898119

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Principles of Big Graph: In-depth Insight by Anonim Pdf

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

Advanced Applications of Blockchain Technology

Shiho Kim,Ganesh Chandra Deka

Author : Shiho Kim,Ganesh Chandra Deka
Publisher : Springer Nature
Page : 278 pages
File Size : 53,7 Mb
Release : 2019-09-24
Category : Technology & Engineering
ISBN : 9789811387753

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Advanced Applications of Blockchain Technology by Shiho Kim,Ganesh Chandra Deka Pdf

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.

Advanced Intelligent Systems for Sustainable Development (AI2SD’2018)

Mostafa Ezziyyani

Author : Mostafa Ezziyyani
Publisher : Springer
Page : 1005 pages
File Size : 54,6 Mb
Release : 2019-03-06
Category : Technology & Engineering
ISBN : 9783030119287

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) by Mostafa Ezziyyani Pdf

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.

Advanced Intelligent Systems for Sustainable Development (AI2SD’2020)

Janusz Kacprzyk,Valentina E. Balas,Mostafa Ezziyyani

Author : Janusz Kacprzyk,Valentina E. Balas,Mostafa Ezziyyani
Publisher : Springer Nature
Page : 1173 pages
File Size : 50,8 Mb
Release : 2022-02-07
Category : Technology & Engineering
ISBN : 9783030906337

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) by Janusz Kacprzyk,Valentina E. Balas,Mostafa Ezziyyani Pdf

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.

Database Internals

Alex Petrov

Author : Alex Petrov
Publisher : O'Reilly Media
Page : 373 pages
File Size : 55,7 Mb
Release : 2019-09-13
Category : Computers
ISBN : 9781492040316

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Database Internals by Alex Petrov Pdf

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

Digital Transformation

Jacek Maślankowski,Bartosz Marcinkowski,Paulo Rupino da Cunha

Author : Jacek Maślankowski,Bartosz Marcinkowski,Paulo Rupino da Cunha
Publisher : Springer Nature
Page : 146 pages
File Size : 51,5 Mb
Release : 2022-12-07
Category : Computers
ISBN : 9783031230127

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Digital Transformation by Jacek Maślankowski,Bartosz Marcinkowski,Paulo Rupino da Cunha Pdf

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.

NoSQL for Mere Mortals

Dan Sullivan

Author : Dan Sullivan
Publisher : Addison-Wesley Professional
Page : 546 pages
File Size : 54,8 Mb
Release : 2015-04-06
Category : Computers
ISBN : 9780134029887

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NoSQL for Mere Mortals by Dan Sullivan Pdf

The Easy, Common-Sense Guide to Solving Real Problems with NoSQL The Mere Mortals® tutorials have earned worldwide praise as the clearest, simplest way to master essential database technologies. Now, there’s one for today’s exciting new NoSQL databases. NoSQL for Mere Mortals guides you through solving real problems with NoSQL and achieving unprecedented scalability, cost efficiency, flexibility, and availability. Drawing on 20+ years of cutting-edge database experience, Dan Sullivan explains the advantages, use cases, and terminology associated with all four main categories of NoSQL databases: key-value, document, column family, and graph databases. For each, he introduces pragmatic best practices for building high-value applications. Through step-by-step examples, you’ll discover how to choose the right database for each task, and use it the right way. Coverage includes --Getting started: What NoSQL databases are, how they differ from relational databases, when to use them, and when not to Data management principles and design criteria: Essential knowledge for creating any database solution, NoSQL or relational --Key-value databases: Gaining more utility from data structures --Document databases: Schemaless databases, normalization and denormalization, mutable documents, indexing, and design patterns --Column family databases: Google’s BigTable design, table design, indexing, partitioning, and Big Data Graph databases: Graph/network modeling, design tips, query methods, and traps to avoid Whether you’re a database developer, data modeler, database user, or student, learning NoSQL can open up immense new opportunities. As thousands of database professionals already know, For Mere Mortals is the fastest, easiest route to mastery.

Persistence Best Practices for Java Applications

Otavio Santana,Karina Varela

Author : Otavio Santana,Karina Varela
Publisher : Packt Publishing Ltd
Page : 202 pages
File Size : 55,8 Mb
Release : 2023-08-25
Category : Computers
ISBN : 9781837637669

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Persistence Best Practices for Java Applications by Otavio Santana,Karina Varela Pdf

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.

The Artificial Intelligence Infrastructure Workshop

Chinmay Arankalle,Gareth Dwyer,Bas Geerdink,Kunal Gera,Kevin Liao,Anand N.S.

Author : Chinmay Arankalle,Gareth Dwyer,Bas Geerdink,Kunal Gera,Kevin Liao,Anand N.S.
Publisher : Packt Publishing Ltd
Page : 731 pages
File Size : 55,6 Mb
Release : 2020-08-17
Category : Computers
ISBN : 9781800206991

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The Artificial Intelligence Infrastructure Workshop by Chinmay Arankalle,Gareth Dwyer,Bas Geerdink,Kunal Gera,Kevin Liao,Anand N.S. Pdf

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.

Database Internals

Alex Petrov

Author : Alex Petrov
Publisher : "O'Reilly Media, Inc."
Page : 376 pages
File Size : 46,9 Mb
Release : 2019-09-13
Category : Computers
ISBN : 9781492040309

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Database Internals by Alex Petrov Pdf

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

Mastering NoSQL

Cybellium Ltd

Author : Cybellium Ltd
Publisher : Cybellium Ltd
Page : 217 pages
File Size : 43,8 Mb
Release : 2024-06-10
Category : Computers
ISBN : 9798863134048

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Mastering NoSQL by Cybellium Ltd Pdf

Unleash the Potential of Flexible Data Storage In the dynamic landscape of modern data management, traditional relational databases often fall short in accommodating the diverse and ever-changing data needs. "Mastering NoSQL" is your comprehensive guide to understanding and harnessing the capabilities of NoSQL databases—a revolutionary approach to data storage that offers flexibility, scalability, and agility like never before. About the Book: The exponential growth of data, coupled with the rise of dynamic applications, has brought NoSQL databases to the forefront of data management. "Mastering NoSQL" provides a deep exploration of this paradigm, catering to both beginners and experienced professionals seeking to revolutionize the way they store, retrieve, and analyze data. Key Features: NoSQL Fundamentals: Begin your journey with an introduction to the foundational concepts of NoSQL. Understand the principles that set NoSQL apart from traditional relational databases. Diverse NoSQL Models: Delve into the various NoSQL database models, such as document stores, key-value stores, column-family stores, and graph databases. Learn the strengths and best use cases for each model. Scalability and Flexibility: Explore the scalability advantages offered by NoSQL databases. Understand how these databases accommodate the challenges of massive data growth and fluctuating workloads. Data Modeling: Grasp the unique data modeling approaches of NoSQL databases. Learn how to design schemas that adapt to evolving data requirements. Consistency and Availability: Understand the trade-offs between consistency and availability in NoSQL systems. Explore the CAP theorem and strategies for maintaining data integrity in distributed environments. Real-World Use Cases: Gain insights into how diverse industries leverage NoSQL databases to solve complex problems. From e-commerce to social networks, explore the applications that harness NoSQL's power. Migration Strategies: Discover techniques for migrating from traditional databases to NoSQL. Learn about data transformation, schema evolution, and ensuring a smooth transition. In a data-driven world, the need for flexible and scalable data storage solutions is paramount. "Mastering NoSQL" empowers database administrators, developers, and technology enthusiasts to unlock the potential of NoSQL databases, enabling them to build applications that thrive in the face of dynamic data demands. Embrace the Future of Data Storage: As the data landscape continues to evolve, NoSQL databases have emerged as a game-changing solution. "Mastering NoSQL" equips you with the knowledge needed to navigate this paradigm shift, allowing you to build resilient, adaptable, and scalable systems that thrive in the era of big data. Your journey to mastering the art of NoSQL begins here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Learn Data Science from Scratch

Pratheerth Padman

Author : Pratheerth Padman
Publisher : BPB Publications
Page : 344 pages
File Size : 40,8 Mb
Release : 2024-02-15
Category : Computers
ISBN : 9789355517036

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Learn Data Science from Scratch by Pratheerth Padman Pdf

Turn raw data into meaningful solutions KEY FEATURES ● Complete guide to master data science basics. ● Practical and hands-on examples in ML, deep learning, and NLP. ● Drive innovation and improve decision making through the power of data. DESCRIPTION Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions. This book provides a thorough exploration of essential data science concepts, tools, and techniques. Starting with the fundamentals of data science, you will progress through data collection, web scraping, data exploration and visualization, and data cleaning and pre-processing. You will build the required foundation in statistics and probability before diving into machine learning algorithms, deep learning, natural language processing, recommender systems, and data storage systems. With hands-on examples and practical advice, each chapter offers valuable insights and key takeaways, empowering you to master the art of data-driven decision making. By the end of this book, you will be well-equipped with the essential skills and knowledge to navigate the exciting world of data science. You will be able to collect, analyze, and interpret data, build and evaluate machine learning models, and effectively communicate your findings, making you a valuable asset in any data-driven environment. WHAT YOU WILL LEARN ● Master key data science tools like Python, NumPy, Pandas, and more. ● Build a strong foundation in statistics and probability for data analysis. ● Learn and apply machine learning, from regression to deep learning. ● Expertise in NLP and recommender systems for advanced analytics. ● End-to-end data project from data collection to model deployment, with planning and execution. WHO THIS BOOK IS FOR This book is ideal for beginners with a basic understanding of programming, particularly in Python, and a foundational knowledge of mathematics. It is well-suited for aspiring data scientists and analysts. TABLE OF CONTENTS 1. Unraveling the Data Science Universe: An Introduction 2. Essential Python Libraries and Tools for Data Science 3. Statistics and Probability Essentials for Data Science 4. Data Mining Expedition: Web Scraping and Data Collection Techniques 5. Painting with Data: Exploration and Visualization 6. Data Alchemy: Cleaning and Preprocessing Raw Data 7. Machine Learning Magic: An Introduction to Predictive Modeling 8. Exploring Regression: Linear, Logistic, and Advanced Methods 9. Unveiling Patterns with k-Nearest Neighbors and Naïve Bayes 10. Exploring Tree-Based Models: Decision Trees to Gradient Boosting 11. Support Vector Machines: Simplifying Complexity 12. Dimensionality Reduction: From PCA to Advanced Methods 13. Unlocking Unsupervised Learning 14. The Essence of Neural Networks and Deep Learning 15. Word Play: Text Analytics and Natural Language Processing 16. Crafting Recommender Systems 17. Data Storage Mastery: Databases and Efficient Data Management 18. Data Science in Action: A Comprehensive End-to-end Project

A Deep Dive Into Nosql Databases The Use Cases And Applications

A Deep Dive into NoSQL Databases: The Use Cases and Applications by Anonim Pdf

Redis¨ Deep Dive by Suyog Dilip Kale,Chinmay Kulkarni Pdf

Smart Data by Kuan-Ching Li,Beniamino Di Martino,Laurence T. Yang,Qingchen Zhang Pdf

Principles of Big Graph: In-depth Insight by Anonim Pdf

Advanced Applications of Blockchain Technology by Shiho Kim,Ganesh Chandra Deka Pdf

Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) by Mostafa Ezziyyani Pdf

Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) by Janusz Kacprzyk,Valentina E. Balas,Mostafa Ezziyyani Pdf

Database Internals by Alex Petrov Pdf

Digital Transformation by Jacek Maślankowski,Bartosz Marcinkowski,Paulo Rupino da Cunha Pdf

NoSQL for Mere Mortals by Dan Sullivan Pdf

Persistence Best Practices for Java Applications by Otavio Santana,Karina Varela Pdf

The Artificial Intelligence Infrastructure Workshop by Chinmay Arankalle,Gareth Dwyer,Bas Geerdink,Kunal Gera,Kevin Liao,Anand N.S. Pdf

Database Internals by Alex Petrov Pdf

Mastering NoSQL by Cybellium Ltd Pdf

Learn Data Science from Scratch by Pratheerth Padman Pdf

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