Download or read book Mastering Neo4j database written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Full Potential of Graph Databases with "Mastering Neo4j Database" In today's data-driven world, the ability to make sense of complex relationships within vast datasets is paramount. "Mastering Neo4j Database" is your comprehensive guide to mastering one of the most powerful graph databases available – Neo4j. Whether you're a seasoned data professional or a newcomer to the realm of graph technology, this book equips you with the knowledge and skills needed to harness the true capabilities of Neo4j. About the Book: "Mastering Neo4j Database" takes you on a journey through the intricacies of graph databases and Neo4j. From the foundational concepts of graph theory to advanced techniques in data modeling, querying, and optimization, this book covers it all. Each chapter is carefully crafted to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Graph Database Fundamentals: Lay a solid foundation by exploring the core concepts of graph databases, graph theory, and how Neo4j revolutionizes data representation. · Data Modeling: Learn how to design effective graph data models that accurately reflect your domain's relationships, ensuring efficient data storage and retrieval. · Cypher Query Language: Master the powerful Cypher query language used in Neo4j to perform complex graph traversals, pattern matching, and data manipulation. · Performance Optimization: Discover strategies for optimizing query performance and database design, ensuring Neo4j scales seamlessly as your data grows. · Advanced Techniques: Dive into advanced topics such as graph algorithms, full-text search, and integrating Neo4j with other tools and frameworks. · Real-World Applications: Explore a range of real-world use cases across industries, from social networks and recommendation systems to fraud detection and knowledge graphs. · Graph Data Science: Learn how to leverage Neo4j's graph data science capabilities to gain insights, perform machine learning, and uncover hidden patterns. · Administration and Security: Understand the best practices for managing and securing your Neo4j databases, ensuring data integrity and user privacy. Who This Book Is For: "Mastering Neo4j Database" is designed for data architects, developers, database administrators, and anyone passionate about leveraging the power of graph databases. Whether you're new to the world of graphs or looking to deepen your expertise, this book provides the insights and tools to navigate the complexities of Neo4j. Why You Should Read This Book: In an age where connected data is the foundation of innovation, Neo4j stands as a leader in graph database technology. "Mastering Neo4j Database" empowers you to fully unlock its potential, enabling you to create more insightful applications, perform advanced analytics, and make data-driven decisions that were once out of reach. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book Learning Neo4j written by Rik Van Bruggen and published by Packt Publishing Ltd. This book was released on 2014-08-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.

Download or read book Practical Neo4j written by Gregory Jordan and published by Apress. This book was released on 2014-12-29 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why have developers at places like Facebook and Twitter increasingly turned to graph databases to manage their highly connected big data? The short answer is that graphs offer superior speed and flexibility to get the job done. It’s time you added skills in graph databases to your toolkit. In Practical Neo4j, database expert Greg Jordan guides you through the background and basics of graph databases and gets you quickly up and running with Neo4j, the most prominent graph database on the market today. Jordan walks you through the data modeling stages for projects such as social networks, recommendation engines, and geo-based applications. The book also dives into the configuration steps as well as the language options used to create your Neo4j-backed applications. Neo4j runs some of the largest connected datasets in the world, and developing with it offers you a fast, proven NoSQL database option. Besides those working for social media, database, and networking companies of all sizes, academics and researchers will find Neo4j a powerful research tool that can help connect large sets of diverse data and provide insights that would otherwise remain hidden. Using Practical Neo4j, you will learn how to harness that power and create elegant solutions that address complex data problems. This book: Explains the basics of graph databases Demonstrates how to configure and maintain Neo4j Shows how to import data into Neo4j from a variety of sources Provides a working example of a Neo4j-based application using an array of language of options including Java, .Net, PHP, Python, Spring, and Ruby As you’ll discover, Neo4j offers a blend of simplicity and speed while allowing data relationships to maintain first-class status. That’s one reason among many that such a wide range of industries and fields have turned to graph databases to analyze deep, dense relationships. After reading this book, you’ll have a potent, elegant tool you can use to develop projects profitably and improve your career options.

Download or read book Mastering Data Storage and Processing written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Effective Data Storage and Processing with "Mastering Data Storage and Processing" In today's data-driven world, the ability to store, manage, and process data effectively is the cornerstone of success. "Mastering Data Storage and Processing" is your definitive guide to mastering the art of seamlessly managing and processing data for optimal performance and insights. Whether you're an experienced data professional or a newcomer to the realm of data management, this book equips you with the knowledge and skills needed to navigate the intricacies of modern data storage and processing. About the Book: "Mastering Data Storage and Processing" takes you on an enlightening journey through the intricacies of data storage and processing, from foundational concepts to advanced techniques. From storage systems to data pipelines, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of data storage technologies, file systems, and data processing paradigms. · Storage Systems: Explore a range of data storage systems, from relational databases and NoSQL databases to cloud-based storage solutions, understanding their strengths and applications. · Data Modeling and Design: Learn how to design effective data schemas, optimize storage structures, and establish relationships for efficient data organization. · Data Processing Paradigms: Dive into various data processing paradigms, including batch processing, stream processing, and real-time analytics, for extracting valuable insights. · Big Data Technologies: Master the essentials of big data technologies such as Hadoop, Spark, and distributed computing frameworks for processing massive datasets. · Data Pipelines: Understand the design and implementation of data pipelines for data ingestion, transformation, and loading, ensuring seamless data flow. · Scalability and Performance: Discover strategies for optimizing data storage and processing systems for scalability, fault tolerance, and high performance. · Real-World Use Cases: Gain insights from real-world examples across industries, from finance and healthcare to e-commerce and beyond. · Data Security and Privacy: Explore best practices for data security, encryption, access control, and compliance to protect sensitive information. Who This Book Is For: "Mastering Data Storage and Processing" is designed for data engineers, developers, analysts, and anyone passionate about effective data management. Whether you're aiming to enhance your skills or embark on a journey toward becoming a data management expert, this book provides the insights and tools to navigate the complexities of data storage and processing. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book Neo4j High Performance written by Sonal Raj and published by Packt Publishing Ltd. This book was released on 2015-03-02 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a professional or enthusiast who has a basic understanding of graphs or has basic knowledge of Neo4j operations, this is the book for you. Although it is targeted at an advanced user base, this book can be used by beginners as it touches upon the basics. So, if you are passionate about taming complex data with the help of graphs and building high performance applications, you will be able to get valuable insights from this book.

Download or read book Mastering Big Data written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-06 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.

Download or read book Mastering Structured Data on the Semantic Web written by Leslie Sikos and published by Apress. This book was released on 2015-07-11 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption. This limitation can be addressed by organizing and publishing data, using powerful formats that add structure and meaning to the content of web pages and link related data to one another. Computers can "understand" such data better, which can be useful for task automation. The web sites that provide semantics (meaning) to software agents form the Semantic Web, the Artificial Intelligence extension of the World Wide Web. In contrast to the conventional Web (the "Web of Documents"), the Semantic Web includes the "Web of Data", which connects "things" (representing real-world humans and objects) rather than documents meaningless to computers. Mastering Structured Data on the Semantic Web explains the practical aspects and the theory behind the Semantic Web and how structured data, such as HTML5 Microdata and JSON-LD, can be used to improve your site’s performance on next-generation Search Engine Result Pages and be displayed on Google Knowledge Panels. You will learn how to represent arbitrary fields of human knowledge in a machine-interpretable form using the Resource Description Framework (RDF), the cornerstone of the Semantic Web. You will see how to store and manipulate RDF data in purpose-built graph databases such as triplestores and quadstores, that are exploited in Internet marketing, social media, and data mining, in the form of Big Data applications such as the Google Knowledge Graph, Wikidata, or Facebook’s Social Graph. With the constantly increasing user expectations in web services and applications, Semantic Web standards gain more popularity. This book will familiarize you with the leading controlled vocabularies and ontologies and explain how to represent your own concepts. After learning the principles of Linked Data, the five-star deployment scheme, and the Open Data concept, you will be able to create and interlink five-star Linked Open Data, and merge your RDF graphs to the LOD Cloud. The book also covers the most important tools for generating, storing, extracting, and visualizing RDF data, including, but not limited to, Protégé, TopBraid Composer, Sindice, Apache Marmotta, Callimachus, and Tabulator. You will learn to implement Apache Jena and Sesame in popular IDEs such as Eclipse and NetBeans, and use these APIs for rapid Semantic Web application development. Mastering Structured Data on the Semantic Web demonstrates how to represent and connect structured data to reach a wider audience, encourage data reuse, and provide content that can be automatically processed with full certainty. As a result, your web contents will be integral parts of the next revolution of the Web.

Download or read book Learning Neo4j 3 x written by Jerome Baton and published by Packt Publishing Ltd. This book was released on 2017-10-20 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database About This Book Get acquainted with graph database systems and apply them in real-world use cases Use Cypher query language, APOC and other Neo4j extensions to derive meaningful analysis from complex data sets. A practical guide filled with ready to use examples on querying, graph processing and visualizing information to build smarter spatial applications. Who This Book Is For This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily. What You Will Learn Understand the science of graph theory, databases and its advantages over traditional databases. Install Neo4j, model data and learn the most common practices of traversing data Learn the Cypher query language and tailor-made procedures to analyze and derive meaningful representations of data Improve graph techniques with the help of precise procedures in the APOC library Use Neo4j advanced extensions and plugins for performance optimization. Understand how Neo4j's new security features and clustering architecture are used for large scale deployments. In Detail Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data. Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases. Style and approach A step-by-step approach of adopting Neo4j, the world's leading graph database. This book includes a lot of background information, helps you grasp the fundamental concepts behind this radical new way of dealing with connected data, and will give you lots of examples of use cases and environments where a graph database would be a great fit

Download or read book Architecting Big Data Mastering Hadoop Solution written by and published by Anand Vemula. This book was released on with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Architecting Big Data: Mastering Hadoop Solutions Certification" is a comprehensive guide tailored for professionals seeking to become proficient in architecting Hadoop solutions for big data applications. Authored by industry experts with extensive experience in big data technologies and Hadoop ecosystems, this book offers a succinct yet thorough overview of the concepts, techniques, and best practices essential for success in this rapidly evolving field. The book begins by providing a solid foundation in big data fundamentals, covering topics such as data storage, processing frameworks, and distributed computing principles. It then delves into the intricacies of the Hadoop ecosystem, including HDFS (Hadoop Distributed File System), MapReduce, YARN (Yet Another Resource Negotiator), and various Hadoop ecosystem projects like Hive, Pig, and Spark. Through clear explanations and practical examples, readers gain a deep understanding of how these components work together to handle large volumes of data efficiently. One of the book's key strengths lies in its focus on architectural considerations. Readers learn how to design scalable, fault-tolerant, and high-performance Hadoop solutions that meet the unique requirements of their organizations. From data ingestion and storage to processing and analysis, the authors provide insights into designing robust architectures that optimize resource utilization and minimize latency. Moreover, the book addresses advanced topics such as data governance, security, and optimization techniques, ensuring that readers are well-equipped to address the complexities of real-world big data projects. Throughout the book, emphasis is placed on practical implementation, with hands-on exercises and case studies that reinforce learning and facilitate skill development. Whether you're a seasoned data professional looking to expand your expertise or a newcomer seeking to enter the field of big data architecture, "Architecting Big Data: Mastering Hadoop Solutions Certification" serves as an invaluable resource. By combining comprehensive coverage of Hadoop technologies with practical insights and expert guidance, this book equips readers with the knowledge and skills needed to excel as Hadoop solution architects in today's data-driven world.

Download or read book Neo4j in Action written by Tareq Abedrabbo and published by Simon and Schuster. This book was released on 2014-12-05 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Neo4j in Action is a comprehensive guide to Neo4j, aimed at application developers and software architects. Using hands-on examples, you'll learn to model graph domains naturally with Neo4j graph structures. The book explores the full power of native Java APIs for graph data manipulation and querying. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Much of the data today is highly connected—from social networks to supply chains to software dependency management—and more connections are continually being uncovered. Neo4j is an ideal graph database tool for highly connected data. It is mature, production-ready, and unique in enabling developers to simply and efficiently model and query connected data. About the Book Neo4j in Action is a comprehensive guide to designing, implementing, and querying graph data using Neo4j. Using hands-on examples, you'll learn to model graph domains naturally with Neo4j graph structures. The book explores the full power of native Java APIs for graph data manipulation and querying. It also covers Cypher, Neo4j's graph query language. Along the way, you'll learn how to integrate Neo4j into your domain-driven app using Spring Data Neo4j, as well as how to use Neo4j in standalone server or embedded modes. Knowledge of Java basics is required. No prior experience with graph data or Neo4j is assumed. What's Inside Graph database patterns How to model data in social networks How to use Neo4j in your Java applications How to configure and set up Neo4j About the Authors Aleksa Vukotic is an architect specializing in graph data models. Nicki Watt, Dominic Fox, Tareq Abedrabbo, and Jonas Partner work at OpenCredo, a Neo Technology partner, and have been involved in many projects using Neo4j. Table of Contents PART 1 INTRODUCTION TO NEO4J A case for a Neo4j database Data modeling in Neo4j Starting development with Neo4j The power of traversals Indexing the data PART 2 APPLICATION DEVELOPMENT WITH NEO4J Cypher: Neo4j query language Transactions Traversals in depth Spring Data Neo4j PART 3 NEO4J IN PRODUCTION Neo4j: embedded versus server mode

Download or read book Mastering Julia written by Malcolm Sherrington and published by Packt Publishing Ltd. This book was released on 2015-07-22 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges. This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia.

Download or read book Mastering Back end development written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a Profound Journey to "Mastering Back-End Development" In the ever-evolving realm of technology, mastering the art of back-end development is crucial for creating robust and scalable web applications that power modern digital experiences. "Mastering Back-End Development" is your definitive guide to navigating the intricate world of server-side programming, databases, and APIs. Whether you're a seasoned developer or an aspiring programmer, this book equips you with the knowledge and skills needed to excel in crafting powerful and efficient back-end systems. About the Book: "Mastering Back-End Development" takes you on a transformative journey through the intricacies of server-side programming, from foundational concepts to advanced techniques. From databases and APIs to security and performance, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the principles and practical applications in real-world scenarios. Key Features: · Foundational Understanding: Build a strong foundation by comprehending the core technologies of back-end development, including server-side languages and databases. · Database Design and Management: Explore database design principles, learning how to create efficient database structures and perform complex queries. · Server-Side Languages: Master server-side programming languages like Python, Ruby, PHP, or Node.js, and understand how to create dynamic web applications. · API Development: Dive into building RESTful APIs, understanding API design principles, authentication, and how to enable communication between front-end and back-end systems. · Security and Authentication: Learn how to implement security measures, including data encryption, user authentication, and protection against common web vulnerabilities. · Caching and Performance Optimization: Gain insights into strategies for caching, optimizing database queries, and improving the overall performance of back-end systems. · Scalability and Deployment: Explore techniques for designing scalable architectures and deploying back-end applications to cloud platforms. · Challenges and Emerging Trends: Discover challenges in back-end development, from maintaining data integrity to managing server resources, and explore emerging trends shaping the future of server-side programming. Who This Book Is For: "Mastering Back-End Development" is designed for developers, programmers, software engineers, students, and anyone passionate about creating powerful web applications. Whether you're aiming to enhance your skills or embark on a journey toward becoming a back-end development expert, this book provides the insights and tools to navigate the complexities of building robust digital systems. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book Mastering Data Visualisation written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communicate Insights Through Compelling Visuals Are you prepared to transform your data into compelling visual stories? "Mastering Data Visualization" is your ultimate guide to unlocking the power of data visualization for effective communication of insights. Whether you're a data analyst aiming to convey findings or a business leader seeking to make data-driven decisions, this book equips you with the knowledge and techniques to master the art of data visualization. Key Features: 1. Dive into Data Visualization: Immerse yourself in the world of data visualization, understanding its significance, principles, and applications. Build a solid foundation that empowers you to convey complex information through captivating visuals. 2. Data Exploration and Preparation: Master the art of data exploration and preparation for visualization. Learn how to clean, transform, and structure data to ensure accuracy in your visual representations. 3. Visual Design Principles: Delve into visual design principles for effective communication. Explore color theory, typography, and layout techniques that enhance the clarity and impact of your visuals. 4. Charts and Graphs: Uncover a range of charts and graphs for different data types. Learn how to choose the right visualization type, from bar charts to scatter plots, to convey specific insights. 5. Interactive Visualizations: Discover the power of interactive visualizations. Learn how to create dynamic and engaging visuals that allow users to explore data on their terms. 6. Geospatial and Network Visualizations: Master geospatial and network visualizations. Explore techniques for mapping spatial data and representing relationships in complex networks. 7. Storytelling with Data: Explore the art of storytelling with data. Learn how to structure your visual narrative, build a compelling story arc, and guide viewers through your insights. 8. Visualization Tools and Software: Uncover a range of visualization tools and software. Learn how to use popular tools to create stunning visualizations and infographics. 9. Data Visualization Best Practices: Delve into best practices for creating effective data visualizations. Learn how to avoid common pitfalls, ensure accessibility, and tailor visuals to your audience. 10. Real-World Applications: Gain insights into real-world use cases of data visualization across industries. From business reports to interactive dashboards, discover how organizations leverage data visualization for impactful communication. Who This Book Is For: "Mastering Data Visualization" is an essential resource for data analysts, designers, and business professionals aiming to excel in conveying insights through visual storytelling. Whether you're enhancing your technical skills or transforming data into actionable insights, this book will guide you through the intricacies and empower you to harness the full potential of data visualization. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book Mastering Redis written by Jeremy Nelson and published by Packt Publishing Ltd. This book was released on 2016-05-31 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take your knowledge of Redis to the next level to build enthralling applications with ease About This Book Detailed explanation on Data structure server with powerful strings, lists, sets, sorted-sets, and hashes Learn to Scale your data with Redis Cluster's distributed setup This is a fast paced practical guide full of screenshots and real work examples to help you get to grips with Redis in no time. Who This Book Is For If you are a software developer with some experience with Redis and would now like to elevate your Redis knowledge and skills even further, then this book is for you. What You Will Learn Choose the right Redis data structure for your problem Understand Redis event-loop and implement your own custom C commands Solve complex workflows with Redis server-side scripting with Lua Configure your Redis instance for optimal memory management Scale your data in a distributed manner with Redis Cluster Improve the stability of your Redis solution using Redis Sentinel Complement your existing database and NoSQL environment with Redis Exploit a wide range of features provided by Redis to become a DevOps expert. In Detail Redis is the most popular, open-source, key value data structure server that provides a wide range of capabilities on which multiple platforms can be be built. Its fast and flexible data structures give your existing applications an edge in the development environment. This book is a practical guide which aims to help you deep dive into the world of Redis data structure to exploit its excellent features. We start our journey by understanding the need of Redis in brief, followed by an explanation of Advanced key management. Next, you will learn about design patterns, best practices for using Redis in DevOps environment and Docker containerization paradigm in detail. After this, you will understand the concept of scaling with Redis cluster and Redis Sentinel , followed by a through explanation of incorporating Redis with NoSQL technologies such as Elasticsearch and MongoDB. At the end of this section, you will be able to develop competent applications using these technologies. You will then explore the message queuing and task management features of Redis and will be able to implement them in your applications. Finally, you will learn how Redis can be used to build real-time data analytic dashboards, for different disparate data streams. Style and approach This is a hands on guide full of easy-to-follow examples, that illustrate important concepts and techniques to solve complex problems with Redis.

Download or read book Mastering Spark for Data Science written by Andrew Morgan and published by Packt Publishing Ltd. This book was released on 2017-03-29 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to tell a compelling story with data science using Spark's ecosystem Explore data at scale and work with cutting edge data science methods Who This Book Is For This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn Learn the design patterns that integrate Spark into industrialized data science pipelines See how commercial data scientists design scalable code and reusable code for data science services Explore cutting edge data science methods so that you can study trends and causality Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs Find out how Spark can be used as a universal ingestion engine tool and as a web scraper Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams Study advanced Spark concepts, solution design patterns, and integration architectures Demonstrate powerful data science pipelines In Detail Data science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance –solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly. Style and approach This is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. This book expands on titles like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve their skills.

Download or read book Mastering NoSQL written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Neo4j Graph Data Modeling written by Mahesh Lal and published by Packt Publishing Ltd. This book was released on 2015-07-27 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neo4j is a graph database that allows you to model your data as a graph and find solutions to complex real-world problems that are difficult to solve using any other type of database. This book is designed to help you understand the intricacies of modeling a graph for any domain. The book starts with an example of a graph problem and then introduces you to modeling non-graph problems using Neo4j. Concepts such as the evolution of your database, chains, access control, and recommendations are addressed, along with examples and are modeled in a graph. Throughout the book, you will discover design choices and trade-offs, and understand how and when to use them. By the end of the book, you will be able to effectively use Neo4j to model your database for efficiency and flexibility.