Beginning Neo4j

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Beginning Neo4j

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Author : Chris Kemper
language : en
Publisher: Apress
Release Date : 2015-12-30

Beginning Neo4j written by Chris Kemper and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-30 with Computers categories.

Beginning Neo4j is your introduction in the world of graph databases, and the benefits they can bring to your applications. Neo4j is the most established graph database on the market, and it's always improving to bring more of its benefits to you. This book will take you from the installation of Neo4j through to building a full application with Neo4j at its heart, and everything in between. Using this book, you'll get everything up and running, and then learn how to use Neo4j to build up recommendations, relationships, and calculate the shortest route between two locations. With example data models, best practices, and an application putting everything together, this book will give you everything you need to really get started with Neo4j. Neo4j is being used by social media and ecommerce industry giants. You can take advantage of Neo4j's powerful features and benefits - add Beginning Neo4j to your library today.

Beginning Database Design Solutions

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Author : Rod Stephens
language : en
Publisher: John Wiley & Sons
Release Date : 2023-02-28

Beginning Database Design Solutions written by Rod Stephens 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 2023-02-28 with Computers categories.

A concise introduction to database design concepts, methods, and techniques in and out of the cloud In the newly revised second edition of Beginning Database Design Solutions: Understanding and Implementing Database Design Concepts for the Cloud and Beyond, Second Edition, award-winning programming instructor and mathematician Rod Stephens delivers an easy-to-understand guide to designing and implementing databases both in and out of the cloud. Without assuming any prior database design knowledge, the author walks you through the steps you’ll need to take to understand, analyze, design, and build databases. In the book, you’ll find clear coverage of foundational database concepts along with hands-on examples that help you practice important techniques so you can apply them to your own database designs, as well as: Downloadable source code that illustrates the concepts discussed in the book Best practices for reliable, platform-agnostic database design Strategies for digital transformation driven by universally accessible database design An essential resource for database administrators, data management specialists, and database developers seeking expertise in relational, NoSQL, and hybrid database design both in and out of the cloud, Beginning Database Design Solutions is a hands-on guide ideal for students and practicing professionals alike.

Principles Of Database Management

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Author : Wilfried Lemahieu
language : en
Publisher: Cambridge University Press
Release Date : 2018-07-12

Principles Of Database Management written by Wilfried Lemahieu and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-12 with Computers categories.

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Data Science For Business Professionals

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Author : Probyto Data Science and Consulting Pvt. Ltd.
language : en
Publisher: BPB Publications
Release Date : 2020-05-06

Data Science For Business Professionals written by Probyto Data Science and Consulting Pvt. Ltd. and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-06 with Computers categories.

Primer into the multidisciplinary world of Data Science KEY FEATURESÊÊ - Explore and use the key concepts of Statistics required to solve data science problems - Use Docker, Jenkins, and Git for Continuous Development and Continuous Integration of your web app - Learn how to build Data Science solutions with GCP and AWS DESCRIPTIONÊ The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solving aptitude and effectively learn. The book uses Mathematics wherever necessary and will show you how it is implemented using Python with the help of an example dataset.Ê WHAT WILL YOU LEARNÊÊ - Understand the multi-disciplinary nature of Data Science - Get familiar with the key concepts in Mathematics and Statistics - Explore a few key ML algorithms and their use cases - Learn how to implement the basics of Data Pipelines - Get an overview of Cloud Computing & DevOps - Learn how to create visualizations using Tableau WHO THIS BOOK IS FORÊ This book is ideal for Data Science enthusiasts who want to explore various aspects of Data Science. Useful for Academicians, Business owners, and Researchers for a quick reference on industrial practices in Data Science.Ê TABLE OF CONTENTS 1. Data Science in Practice 2. Mathematics Essentials 3. Statistics Essentials 4. Exploratory Data Analysis 5. Data preprocessing 6. Feature Engineering 7. Machine learning algorithms 8. Productionizing ML models 9. Data Flows in Enterprises 10. Introduction to Databases 11. Introduction to Big Data 12. DevOps for Data Science 13. Introduction to Cloud Computing 14. Deploy Model to Cloud 15. Introduction to Business IntelligenceÊ 16. Data Visualization Tools 17. Industry Use Case 1 Ð FormAssist 18. Industry Use Case 2 Ð PeopleReporter 19. Data Science Learning Resources 20. Do It Your Self Challenges 21. MCQs for Assessments

Graph Powered Machine Learning

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Author : Alessandro Nego
language : en
Publisher: Simon and Schuster
Release Date : 2021-09-28

Graph Powered Machine Learning written by Alessandro Nego 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 2021-09-28 with Computers categories.

1. Machine learning and graphs : an introduction -- 2. Graph data engineering -- 3. Graphs in machine learning applications -- 4. Content-based recommendations -- 5. Collaborative filtering -- 6. Session-based recommendations -- 7. Context-aware and hybrid recommendations -- 8. Basic approaches to graph-powered fraud detection -- 9. Proximity-based algorithms -- 10. Social metwork analysis against fraud -- 11. Graph-based natural language processing -- 12. Knowledge graphs.

Graph Data Modeling In Python

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Author : Gary Hutson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-30

Graph Data Modeling In Python written by Gary Hutson and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Computers categories.

Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language Purchase of the print or Kindle book includes a free PDF eBook Key Features Transform relational data models into graph data model while learning key applications along the way Discover common challenges in graph modeling and analysis, and learn how to overcome them Practice real-world use cases of community detection, knowledge graph, and recommendation network Book Description Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this book, you'll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis. Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Following practical use cases and examples, you'll find out how to design optimal graph models capable of supporting a wide range of queries and features. Moreover, you'll seamlessly transition from traditional relational databases and tabular data to the dynamic world of graph data structures that allow powerful, path-based analyses. As well as learning how to manage a persistent graph database using Neo4j, you'll also get to grips with adapting your network model to evolving data requirements. By the end of this book, you'll be able to transform tabular data into powerful graph data models. In essence, you'll build your knowledge from beginner to advanced-level practitioner in no time. What you will learn Design graph data models and master schema design best practices Work with the NetworkX and igraph frameworks in Python Store, query, ingest, and refactor graph data Store your graphs in memory with Neo4j Build and work with projections and put them into practice Refactor schemas and learn tactics for managing an evolved graph data model Who this book is for If you are a data analyst or database developer interested in learning graph databases and how to curate and extract data from them, this is the book for you. It is also beneficial for data scientists and Python developers looking to get started with graph data modeling. Although knowledge of Python is assumed, no prior experience in graph data modeling theory and techniques is required.

Massive Graph Analytics

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Author : David A. Bader
language : en
Publisher: CRC Press
Release Date : 2022-07-20

Massive Graph Analytics written by David A. Bader and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-20 with Business & Economics categories.

"Graphs. Such a simple idea. Map a problem onto a graph then solve it by searching over the graph or by exploring the structure of the graph. What could be easier? Turns out, however, that working with graphs is a vast and complex field. Keeping up is challenging. To help keep up, you just need an editor who knows most people working with graphs, and have that editor gather nearly 70 researchers to summarize their work with graphs. The result is the book Massive Graph Analytics." — Timothy G. Mattson, Senior Principal Engineer, Intel Corp Expertise in massive-scale graph analytics is key for solving real-world grand challenges from healthcare to sustainability to detecting insider threats, cyber defense, and more. This book provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. Massive Graph Analytics will be beneficial to students, researchers, and practitioners in academia, national laboratories, and industry who wish to learn about the state-of-the-art algorithms, models, frameworks, and software in massive-scale graph analytics.

Seven Databases In Seven Weeks

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Author : Luc Perkins
language : en
Publisher: The Pragmatic Programmers LLC
Release Date : 2018-04-05

Seven Databases In Seven Weeks written by Luc Perkins and has been published by The Pragmatic Programmers LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-05 with Computers categories.

Data is getting bigger and more complex by the day, and so are your choices in handling it. Explore some of the most cutting-edge databases available - from a traditional relational database to newer NoSQL approaches - and make informed decisions about challenging data storage problems. This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content for each chapter. While relational databases such as MySQL remain as relevant as ever, the alternative, NoSQL paradigm has opened up new horizons in performance and scalability and changed the way we approach data-centric problems. This book presents the essential concepts behind each database alongside hands-on examples that make each technology come alive. With each database, tackle a real-world problem that highlights the concepts and features that make it shine. Along the way, explore five database models - relational, key/value, columnar, document, and graph - from the perspective of challenges faced by real applications. Learn how MongoDB and CouchDB are strikingly different, make your applications faster with Redis and more connected with Neo4J, build a cluster of HBase servers using cloud services such as Amazon's Elastic MapReduce, and more. This new edition brings a brand new chapter on DynamoDB, updated code samples and exercises, and a more up-to-date account of each database's feature set. Whether you're a programmer building the next big thing, a data scientist seeking solutions to thorny problems, or a technology enthusiast venturing into new territory, you will find something to inspire you in this book. What You Need: You'll need a *nix shell (Mac OS or Linux preferred, Windows users will need Cygwin), Java 6 (or greater), and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.

Beginning Spring 6

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Author : Joseph B. Ottinger
language : en
Publisher: Springer Nature
Release Date : 2024-02-29

Beginning Spring 6 written by Joseph B. Ottinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Computers categories.

This book will teach you how to use the Spring Framework to build Java-based applications, web applications, and microservices. Aimed at beginners, it has been revised and expanded to reflect the latest features and best practices for Spring 6. Authors Joseph Ottinger and Andrew Lombardi will get you started using Spring Framework 6 and its ecosystem, walking you through all the best practices in modern application development. You’ll see how Spring has drastically and positively affected the way applications are designed and programmed in Java, and how to build apps with the Spring mindset. Along the way, you will learn many aspects of the Spring ecosystem with easy-to-understand applications designed to teach you not only the technology, but also the practices that benefit the most from Spring. Starting with the basics, you’ll learn gradually, including topics such as the configuration and declaration of beans, the application lifecycle, how todeploy a Spring application into a Java EE application, Spring Reactive, Spring Web, Spring Boot, and Spring Cloud. After completing this book, you’ll be prepared to develop your own scalable, modular Spring-based applications. What You Will Learn Discover the most common use cases encountered in the real world Learn the proper way of testing with the Spring framework Create reliable, modular software Build skills that will translate well across all languages and environments Integrate and use data access and persistence frameworks such as Hibernate, JPA, and MongoDB Get started with the most common, most-used Spring features Who This Book Is For Those who are new to Spring or for those who have experience with Spring but want to learn what's new in Spring 6. This book assumes you have some prior coding experience inJava, but many core concepts in Java are discussed as they’re encountered.

Database Management Using Ai A Comprehensive Guide

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Author : A Purushotham Reddy
language : en
Publisher: A Purushotham Reddy
Release Date : 2024-10-20

Database Management Using Ai A Comprehensive Guide written by A Purushotham Reddy and has been published by A Purushotham Reddy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-20 with Computers categories.

Database Management Using AI: The Ultimate Guide for Data Professionals Database Management Using AI: A Comprehensive Guide is an essential resource for anyone eager to explore how artificial intelligence (AI) is revolutionizing the field of database management. This book caters to a wide audience, from database administrators, data scientists, and tech enthusiasts to professionals looking to integrate AI into their data management practices. It offers a professional yet easily understandable exploration of how AI is transforming modern data systems. The guide starts by laying a solid foundation in database management fundamentals, covering key concepts such as data models, SQL, and database design principles. It then delves into how AI can optimize database performance, enhance security, and automate complex tasks like data retrieval, query optimization, and schema design. With this book, readers will gain deep insights into integrating AI with traditional database systems and how AI tools are shaping the future of data management. Unlike other books that focus purely on theory, this guide stands out by emphasizing real-world applications. Through practical case studies, it demonstrates how AI-driven database systems are being leveraged across industries such as e-commerce, healthcare, finance, and logistics. These case studies show the real-world impact of AI, helping businesses increase efficiency, reduce errors, and make smarter, data-backed decisions. The book illustrates how AI is enabling organizations to stay ahead in a competitive market by harnessing the power of intelligent database management. Throughout the guide, readers will learn about the evolution of database systems, including the shift from relational databases to modern NoSQL databases, and how AI is enhancing traditional database models to meet the demands of the digital age. The book explores how AI integration in databases is transforming how data is processed and analyzed, automating repetitive tasks and improving the scalability and performance of databases. One of the key highlights of this book is the coverage of AI in database management. Readers will learn how AI is being used to automate routine database tasks, improve security by predicting and mitigating threats, and streamline database management operations through automation. Additionally, the book delves into how AI helps in predictive analytics and data mining, uncovering hidden patterns and enabling organizations to make accurate predictions based on large volumes of data. The book also covers predictive analytics and data mining, teaching readers how AI tools can be used to extract valuable insights from data, identify trends, and uncover business opportunities that were previously hard to detect. By understanding how AI can leverage data to drive business intelligence, readers will be able to implement AI-driven solutions that improve decision-making processes. Furthermore, this guide explores the future of database management with AI. It takes a close look at emerging trends, including autonomous databases and the growing role of cloud-based AI solutions in shaping the future of data management. These innovative technologies are creating intelligent, self-managing databases that are poised to revolutionize how data is stored, processed, and analyzed. Database Management Using AI provides readers with the knowledge and practical skills needed to navigate the fast-evolving landscape of AI-powered databases. Whether you're an industry professional or a student, this book is packed with actionable insights that will keep you ahead in the digital world. It’s a must-have resource for anyone looking to understand the practical impact of AI on database systems and harness the power of machine learning, big data, and cloud computing to transform their approach to data management. With its combination of clear explanations, real-world case studies, and forward-looking insights, this book is the ultimate guide for anyone wanting to stay competitive in the digital age. Database Management Using AI is more than just a book—it's an essential tool for anyone serious about mastering the future of data systems. Refer www.latest2all.com for details...