Dive into the world of large-scale graph data processing with Apache Spark's GraphX API. This book introduces you to the core concepts of graph analytics and teaches you how to leverage Spark for handling and analyzing massive graphs. From building to analyzing, you'll acquire a comprehensive skillset to work with graph data efficiently. What this Book will help me do Learn to utilize Apache Spark GraphX API to process and analyze graph data. Master transforming raw datasets into sophisticated graph structures. Explore visualization and analysis techniques for understanding graphs. Understand and build custom graph operations tailored to your needs. Implement advanced graph algorithms like clustering and iterative processing. Author(s) Rindra Ramamonjison is a seasoned data engineer with vast experience in big data technologies and graph processing. With a passion for explaining complex concepts in simple terms, Rindra builds on his professional expertise to guide readers in mastering cutting-edge Spark tools. Who is it for? This book is tailored for data scientists and software developers looking to delve into graph data processing at scale. Ideal for those with basic knowledge of Scala and Apache Spark, it equips readers with the tools and techniques to derive insights from complex network datasets. Whether you're diving deeper into big data or exploring graph-specific analytics, this book is your guide.

What is JavaScript Object Notation (JSON) and how can you put it to work? This concise guide helps busy IT professionals get up and running quickly with this popular data interchange format, and provides a deep understanding of how JSON works. Author Lindsay Bassett begins with an overview of JSON syntax, data types, formatting, and security concerns before exploring the many ways you can apply JSON today. From Web APIs and server-side language libraries to NoSQL databases and client-side frameworks, JSON has emerged as a viable alternative to XML for exchanging data between different platforms. If you have some programming experience and understand HTML and JavaScript, this is your book. Learn why JSON syntax represents data in name-value pairs Explore JSON data types, including object, string, number, and array Find out how you can combat common security concerns Learn how the JSON schema verifies that data is formatted correctly Examine the relationship between browsers, web APIs, and JSON Understand how web servers can both request and create data Discover how jQuery and other client-side frameworks use JSON Learn why the CouchDB NoSQL database uses JSON to store data

This book is your gateway to mastering Hazelcast, a powerful open-source distributed data grid platform. By using Hazelcast, you'll gain the tools to manage data at scale within your modern applications while improving performance and reliability. What this Book will help me do Gain a comprehensive understanding of distributed data grids and Hazelcast's architecture. Master the configuration and deployment of Hazelcast clusters in various scenarios. Learn to design scalable and resilient systems using Hazelcast's in-memory features. Implement advanced messaging, querying, and processing using Hazelcast APIs. Enhance your applications with distributed caching and data sharing capabilities. Author(s) Matthew Johns is an experienced software engineer and author specializing in distributed systems and Java enterprise development. He has worked extensively in building scalable applications and is passionate about teaching others to leverage modern technologies. His practical approach to programming and clarity of instruction make complex topics accessible and actionable. Who is it for? This book is ideal for Java developers, software architects, and DevOps engineers seeking to enhance their skills in distributed systems. If you're looking to manage data at scale, improve application performance, and build resilient architectures, this book is for you. Whether new to distributed computing or experienced developers exploring Hazelcast, you'll find practical insights for your work. Readers should have basic Java knowledge to get the most out of this book.

Dive into 'Programming ArcGIS with Python Cookbook, Second Edition,' an essential guide for automating your ArcGIS for Desktop tasks with hands-on Python recipes. Through this book, you will understand how to effectively handle GIS data, automate geoprocessing tasks, and extend ArcGIS functionalities to streamline your workflows and boost your productivity. What this Book will help me do Master the management of map documents, layer files, feature classes, and tables using Python. Automate common ArcGIS tasks such as map production, printing, and creating PDF map books programmatically. Learn to find and correct broken data links and make your datasets reliable. Develop custom geoprocessing tools and share them efficiently among your team or projects. Expand your knowledge by leveraging advanced practices such as Python scripting for ArcGIS Pro and REST API integration. Author(s) Eric Pimpler is an accomplished GIS professional and Python programmer with years of practical experience in geospatial science and technology. He specializes in teaching GIS automation using Python and aims to simplify complex concepts into approachable recipes for learners. Eric's writing is marked by clarity and a methodical approach, ensuring that readers can apply their new knowledge effectively. Who is it for? This book is aimed at GIS professionals, cartographers, or analysts who routinely work with ArcGIS and want to streamline their workflow. If you have foundational experience with ArcGIS and basic Python programming skills, this book will build upon them, offering practical recipes to extend your capabilities. It's perfect for those looking to enhance their efficiency and automate their GIS tasks. By the end of this book, readers will have skills valuable to GIS experts and data analysts alike.

Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once. Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice.

Dive into creating highly scalable and performant applications with this comprehensive guide to the Infinispan data grid platform. Designed for Java enterprise developers, this book provides clear and approachable instructions for implementing sophisticated data management solutions using Infinispan. What this Book will help me do Install and configure Infinispan for optimized development environments. Understand and implement data caching topologies for diverse access patterns. Leverage scalable distributed transactions with detailed Apache JGroups integrations. Monitor and manage Infinispan instances using cutting-edge tools like RHQ and JMX. Develop a real-world application using Infinispan's APIs for practical insights. Author(s) The author(s) of this book are seasoned Java developers and experts in distributed caching and data grid technologies. With years of industry experience, they bring theoretical insights paired with pragmatic application know-how. Their approach emphasizes teaching through real-life use cases, practical applications, and clear explanations, making complex concepts accessible to all readers. Who is it for? This book is perfect for Java enterprise developers who are looking to elevate their architecture skills by building applications that demand scalability and high performance. Readers should have a solid understanding of Java, though no prior experience using Infinispan is required. Whether you're transitioning from traditional databases or improving your grasp of distributed caching, this book suits your needs.

Records management helps users address evolving governance mandates to meet regulatory, legal, and fiduciary requirements. Proactive adherence to information retention policies and procedures is a critical facet of any compliance strategy. IBM® Enterprise Records helps organizations enforce centralized policy management for file plans, retention schedules, legal preservation holds, and auditing. IBM Enterprise Records enables your organization to securely capture, declare, classify, store, and dispose of electronic and physical records. In this IBM Redbooks® publication, we introduce the records management concept and provide an overview of IBM Enterprise Records. We address records management topics, including the retention schedule, file plan, records ingestion and declaration, records disposition, records hold, and Enterprise Records application programming interfaces (APIs). We also use a case study to describe step-by-step instructions to implement a sample records management solution using Enterprise Records. We provide concrete examples of how to perform tasks, such as file plan creation, records ingestion and declaration, records disposition, and records hold. This book helps you to understand the records management concept, the IBM Enterprise Records features and capabilities, and its use.

If you’re a programmer new to databases—or just new to MySQL and its community-driven variant, MariaDB—you’ve found the perfect introduction. This hands-on guide provides an easy, step-by-step approach to installing, using, and maintaining these popular relational database engines. Author Russell Dyer, Curriculum Manager at MariaDB and former editor of the MySQL Knowledge Base, takes you through database design and the basics of data management and manipulation, using real-world examples and many practical tips. Exercises and review questions help you practice what you’ve just learned. Create and alter MySQL tables and specify fields and columns within them Learn how to insert, select, update, delete, join, and subquery data, using practical examples Use built-in string functions to find, extract, format, and convert text from columns Learn functions for mathematical or statistical calculations, and for formatting date and time values Perform administrative duties such as managing user accounts, backing up databases, and importing large amounts of data Use APIs to connect and query MySQL and MariaDB with PHP and other languages

This IBM® Redbooks® publication describes the new channels and containers support in IBM Customer Information Control System (CICS®) Transaction Server V5.2. The book begins with an overview of the techniques used to pass data between applications running in CICS. This book describes the constraints that these data techniques might be subject to, and how a channels and containers solution can provide solid advantages alongside these techniques. These capabilities enable CICS to fully comply with emerging technology requirements in terms of sizing and flexibility. The book then goes on to describe application design, and looks at implementing channels and containers from an application programmer point of view. It provides examples to show how to evolve channels and containers from communication areas (COMMAREAs). Next, the book explains the channels and containers application programming interface (API). It also describes how this API can be used in both traditional CICS applications and a Java CICS (JCICS) applications. The business transaction services (BTS) API is considered as a similar yet recoverable alternative to channels and containers. Some authorized program analysis reports (APARs) are introduced, which enable more flexible web services features by using channels and containers. The book also presents information from a systems management point of view, describing the systems management and configuration tasks and techniques that you must consider when implementing a channels and containers solution. The book chooses a sample application in the CICS catalog manager example, and describes how you can port an existing CICS application to use channels and containers rather than using COMMAREAs.

Dive into the world of graph databases with "Neo4j High Performance." This book takes you through the intricacies of designing, building, and maintaining robust and scalable graph-based systems tailored for your application's specific needs. Whether you're optimizing your database structures or exploring performance enhancements, this guide equips you with the skills to utilize Neo4j effectively. What this Book will help me do Understand the fundamentals of graph database principles and Neo4j's architecture. Learn how to design efficient graph data schemas to optimize performance. Develop the ability to customize Neo4j operations for high-traffic applications. Master advanced indexing and querying techniques to unlock the full potential of your data. Gain expertise in Neo4j's REST API and practical scenarios, including building recommendation systems. Author(s) Sonal Raj is a seasoned expert in graph databases and related technologies, specializing in Neo4j. With hands-on experience in solving complex data problems using graph systems, Sonal brings deep insights and practical usage paradigms to this book. Passionate about sharing knowledge, Sonal ensures this material bridges the gap from beginner understanding to expert application. Who is it for? This book is perfect for professionals and enthusiasts eager to excel in graph database technologies. If you're familiar with basic graph theory or have practical experience with Neo4j, you'll find this book insightful. Beginners seeking a structured introduction and advanced users pursuing optimization techniques will benefit equally. Ideal for developers aiming to scale their applications using graph data efficiently.

Couchbase Essentials is your gateway to mastering Couchbase, a powerful NoSQL database designed for building flexible and scalable applications. Through this book, you will understand Couchbase's key features, explore its indexing and querying capabilities, and learn to design schemas for its schemaless document model. What this Book will help me do Understand how to install and configure a single-node Couchbase environment. Master putting data into and retrieving data from Couchbase using its API. Develop skills in creating secondary and advanced indexes using Couchbase MapReduce views. Learn to design an efficient schema for Couchbase's schemaless document database. Create and query a functional application utilizing Couchbase and its N1QL query language. Author(s) John C Zablocki is an experienced software developer and technology enthusiast with a deep understanding of NoSQL databases like Couchbase. With years of practical experience, John has been instrumental in implementing Couchbase in scalable applications, and he shares actionable insights in this well-rounded book. Who is it for? This book is tailored for application developers aiming to enhance their applications with NoSQL capabilities. It is highly suitable for developers with backgrounds in relational databases, as well as those new to NoSQL systems. If you are interested in building modern, scalable applications, this comprehensive guide to Couchbase is for you.

Learning Apache Cassandra is your comprehensive guide to mastering one of the most popular distributed databases for building scalable, fault-tolerant data layers. Through step-by-step examples and clear explanations, this book will help you understand Cassandra's architecture and how to use its features to design efficient applications. What this Book will help me do Successfully install and set up Apache Cassandra in your environment. Develop highly scalable data models for various application scenarios. Implement efficient query designs using Cassandra's specialized APIs. Maintain data consistency and handle concurrent updates in distributed systems. Apply best practices for securing Cassandra deployments and managing distributed data. Author(s) None Brown is an experienced software developer with a focus on database systems and distributed architectures. With years of hands-on experience working with SQL and NoSQL databases, they bring practical insights and clear instructions to their readers. Their writing aims to demystify complex topics and provide practical learning paths. Who is it for? This book is intended for software developers and database administrators looking to expand their knowledge of distributed databases. If you are familiar with SQL databases like MySQL or PostgreSQL and want to transition to Cassandra, this guide will help you. No prior experience with distributed databases is assumed. By following this book, you'll quickly become proficient in using Cassandra for your distributed application needs.

Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates.

Are you using some event tracking to learn more about your visitors? Good. How about using Enhanced Ecommerce and the Page Visibility API to analyze content engagement? No? Simo will walk you through these advanced use cases, and provide you with a number of tools and resources you can use to think outside the box when using Google Analytics and Google Tag Manager. Inspiration is guaranteed.

In this fast-paced 100-page guide, you’ll learn to load, display and interact with dynamic, data-powered Visio diagrams in SharePoint 2013 or Office 365. Visio Services Quick Guide gives you the tools to build anything from a simple project workflow to an organizational infrastructure diagram, powered by real data from SharePoint or SQL Server. Colleagues can load your diagrams entirely in the browser, meaning that a single Visio client installation is enough to get started. Readers with JavaScript experience will also find out how to get additional control over Visio diagrams using the JavaScript mashup API, and how to build a custom data provider. The final chapter covers some useful information on administering Visio Services. Get started bringing your Visio diagrams to life with the Visio Services Quick Guide.

In the four years that O'Reilly Media, Inc. has produced its annual Big Data Now report, the data field has grown from infancy into young adulthood. Data is now a leader in some fields and a driver of innovation in others, and companies that use data and analytics to drive decision-making are outperforming their peers. And while access to big data tools and techniques once required significant expertise, today many tools have improved and communities have formed to share best practices. Companies have also started to emphasize the importance of processes, culture, and people. The topics in represent the major forces currently shaping the data world: Big Data Now: 2014 Edition Cognitive augmentation: predictive APIs, graph analytics, and Network Science dashboards Intelligence matters: defining AI, modeling intelligence, deep learning, and "summoning the demon" Cheap sensors, fast networks, and distributed computing: stream processing, hardware data flows, and computing at the edge Data (science) pipelines: broadening the coverage of analytic pipelines with specialized tools Evolving marketplace of big data components: SSDs, Hadoop 2, Spark; and why datacenters need operating systems Design and social science: human-centered design, wearables and real-time communications, and wearable etiquette Building a data culture: moving from prediction to real-time adaptation; and why you need to become a data skeptic Perils of big data: data redlining, intrusive data analysis, and the state of big data ethics

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. 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. 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 Reader Knowledge of Java basics is required. No prior experience with graph data or Neo4j is assumed. 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. Quotes A pragmatic programmatic tour through Neo4j’s APIs and query language. - From the Foreword by Jim Webber and Ian Robinson, Neo Technology Excellent coverage of one of the most successful NoSQL products. - Pouria Amirian, PhD, University of Oxford A great resource for rethinking your data storage using graphs in Neo4j. - Stephen Kitt, ERDF

This IBM® Redbooks® publication describes the concepts, architecture, and implementation of the IBM XIV® Storage System. The XIV Storage System is a scalable enterprise storage system that is based on a grid array of hardware components. It can attach to both Fibre Channel Protocol (FCP) and IP network Small Computer System Interface (iSCSI) capable hosts. This system is a good fit for clients who want to be able to grow capacity without managing multiple tiers of storage. The XIV Storage System is suited for mixed or random access workloads, including online transaction processing, video streamings, images, email, and emerging workload areas, such as Web 2.0 and cloud storage. The focus of this edition is on the XIV Gen3 running Version 11.5 of the XIV system software, which brings enhanced value for the XIV Storage System in cloud environments. It offers multitenancy support, VMware vCloud Suite integration, more discrete performance classes, and RESTful API enhancements that expand cloud automation integration. Version 11.5 introduces support for three-site mirroring to provide high availability and disaster recovery. It also enables capacity planning through the Hyper-Scale Manager, mobile push notifications for real-time alerts, and enhanced security. In the first few chapters of this book, we describe many of the unique and powerful concepts that form the basis of the XIV Storage System logical and physical architecture. We explain how the system eliminates direct dependencies between the hardware elements and the software that governs the system. In subsequent chapters, we explain the planning and preparation tasks that are required to deploy the system in your environment by using the intuitive yet powerful XIV Storage Manager GUI or the XIV command-line interface. We also describe the performance characteristics of the XIV Storage System and present options for alerting and monitoring, including enhanced secure remote support. This book is for IT professionals who want an understanding of the XIV Storage System. It is also for readers who need detailed advice on how to configure and use the system.

ArcGIS Web Development is an example-rich tutorial designed to teach developers to use the ArcGIS JavaScript API to build custom GIS web applications. About the Technology Now you can unshackle your GIS application from a workstation! Using the ArcGIS JavaScript API, developers can build mobile and web-based maps and applications driven by ArcGIS data and functionality. Experienced ArcGIS developers will find that the familiar development environment provides a smooth transition to the web. Web developers new to GIS will be pleased by how easily they can apply their existing skills to GIS applications. About the Book ArcGIS Web Development is an example-rich guide that teaches you to use the ArcGIS JavaScript API to build custom GIS web applications. The book begins with easy-to-follow examples that introduce readers to the ArcGIS JavaScript API and show how you can apply simple customizations. As the book progresses, you'll explore a full-scale, web-mapping application. By the end you will be able to build web apps that have features you'd ordinarily expect to find only in dedicated GIS applications. What's Inside Build web-based GIS applications Customize the ArcGIS Javascript API tools Bring ArcGIS data to the web Create secure logins for mobile app users About the Reader Written for web developers familiar with JavaScript and basic GIS concepts. Experience with ArcGIS is helpful, but not necessary. About the Author Rene Rubalcava is the cofounder of SmartGeoTech, Inc., a GIS development company specializing in Esri technologies. Quotes The most succinct tutorial for using the ArcGIS JavaScript API. - Shaun Langley, Urban GIS Everything you need to build location and mapping web applications with ArcGIS. - Dennis Sellinger, Géotech, France Anyone getting started with the ArcGIS API for JavaScript should pick up this book. - Brian Arnold, Bazaarvoice, Inc. The author is thorough, and the pace is just right. - Jacqueline Wilson, Avon Grove Charter School

This week's episode explores the possibilities of extracting novel insights from the many great social web APIs available. Matthew Russell's Mining the Social Web is a fantastic exploration of the tools and methods, and we explore a few related topics. One helpful feature of the book is it's use of a Vagrant virtual machine. Using it, readers can easily reproduce the examples from the book, and there's a short video available that will walk you through setting up the Mining the Social Web virtual machine. The book also has an accompanying github repository which can be found here. A quote from Matthew that particularly reasonates for me was "The first commandment of Data Science is to 'Know thy data'." Take a listen for a little more context around this sage advice. In addition to the book, we also discuss some of the work done by Digital Reasoning where Matthew serves as CTO. One of their products we spend some time discussing is Synthesys, a service that processes unstructured data and delivers knowledge and insight extracted from the data. Some listeners might already be familiar with Digital Reasoning from recent coverage in Fortune Magazine on their cognitive computing efforts. For his benevolent recommendation, Matthew recommends the Hardcore History Podcast, and for his self-serving recommendation, Matthew mentioned that they are currently hiring for Data Science job opportunities at Digital Reasoning if any listeners are looking for new opportunities.