Get a head start with eXist, the open source NoSQL database and application development platform built entirely around XML technologies. With this hands-on guide, you’ll learn eXist from the ground up, from using this feature-rich database to work with millions of documents to building complex web applications that take advantage of eXist’s many extensions. If you’re familiar with XML—as a student, professor, publisher, or developer—you’ll find that eXist is ideal for all kinds of documents.

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

This book provides an overview of the fabrication methods for anti-abrasive nanocoatings.

Augmented Reality (AR) is the blending of digital information in a real-world environment. A common example can be seen during any televised football game, in which information about the game is digitally overlaid on the field as the players move and position themselves. Another application is Google Glass, which enables users to see AR graphics and information about their location and surroundings on the lenses of their "digital eyewear", changing in real-time as they move about. Augmented Reality Law, Privacy, and Ethics is the first book to examine the social, legal, and ethical issues surrounding AR technology. Digital eyewear products have very recently thrust this rapidly-expanding field into the mainstream, but the technology is so much more than those devices. Industry analysts have dubbed AR the "eighth mass medium" of communications. Science fiction movies have shown us the promise of this technology for decades, and now our capabilities are finally catching up to that vision. Augmented Reality will influence society as fundamentally as the Internet itself has done, and such a powerful medium cannot help but radically affect the laws and norms that govern society. No author is as uniquely qualified to provide a big-picture forecast and guidebook for these developments as Brian Wassom. A practicing attorney, he has been writing on AR law since 2007 and has established himself as the world's foremost thought leader on the intersection of law, ethics, privacy, and AR. Augmented Reality professionals around the world follow his Augmented Legality® blog. This book collects and expands upon the best ideas expressed in that blog, and sets them in the context of a big-picture forecast of how AR is shaping all aspects of society. Augmented reality thought-leader Brian Wassom provides you with insight into how AR is changing our world socially, ethically, and legally. Includes current examples, case studies, and legal cases from the frontiers of AR technology. Learn how AR is changing our world in the areas of civil rights, privacy, litigation, courtroom procedure, addition, pornography, criminal activity, patent, copyright, and free speech. An invaluable reference guide to the impacts of this cutting-edge technology for anyone who is developing apps for it, using it, or affected by it in daily life.

This IBM® Redbooks® publication takes an existing IBM 3270-COBOL-VSAM application and describes how to use the features of IBM Customer Information Control System (CICS®) Transaction Server (CICS TS) cloud enablement. Working with the General Insurance Application (GENAPP) as an example, this book describes the steps needed to monitor both platform and application health using the CICS Explorer CICS Cloud perspective. It also shows you how to apply threshold policy and measure resource usage, all without source code changes to the original application. In addition, this book describes how to use multi-versioning to safely and reliably apply and back out application changes. This Redbooks publication includes instructions about the following topics: How to create a CICS TS platform to manage and reflect the health of a set of CICS TS regions, and the services that they provide to applications How to quickly get value from CICS TS applications, by creating and deploying a CICS TS application for an existing user application How to protect your CICS TS platform from erroneous applications by using threshold policies How to deploy and run multiple versions of the same CICS TS application on the same CICS TS platform at the same time, enabling a safer migration from one application version to another, with no downtime How to measure application resource usage, enabling a comparison of the performance of different application versions, and chargeback based on application use

Make the most of FileMaker Pro 13– without becoming a technical expert! This book is the fastest way to create FileMaker Pro databases that perform well, are easy to manage, solve problems, and achieve your goals! Even if you’ve never used FileMaker Pro before, you’ll learn how to do what you want, one incredibly clear and easy step at a time. FileMaker Pro has never, ever been this simple! Who knew how simple FileMaker® Pro 13 could be? This is the easiest, most practical beginner’s guide to using the powerful new FileMaker Pro 13 database program…simple, reliable instructions for doing everything you really want to do! Here’s a small sample of what you’ll learn: • Get comfortable with the FileMaker Pro environment, and discover all you can do with it • Create complete databases instantly with Starter Solutions • Design custom databases that efficiently meet your specific needs • Identify the right tables, fields, and relationships; create new databases from scratch • Expand your database to integrate new data and tables • Craft layouts that make your database easier and more efficient to use • Quickly find, sort, organize, import, and export data • Create intuitive, visual reports and graphs for better decision-making • Use scripts to automate a wide variety of routine tasks • Safeguard databases with accounts, privileges, and reliable backups • Share data with colleagues running iPads, iPhones, Windows computers, or Macs • Take your data with you through FileMaker Go • Master expert tips and hidden features you’d never find on your own • And much more…

Google Earth Forensics is the first book to explain how to use Google Earth in digital forensic investigations. This book teaches you how to leverage Google's free tool to craft compelling location-based evidence for use in investigations and in the courtroom. It shows how to extract location-based data that can be used to display evidence in compelling audiovisual manners that explain and inform the data in contextual, meaningful, and easy-to-understand ways. As mobile computing devices become more and more prevalent and powerful, they are becoming more and more useful in the field of law enforcement investigations and forensics. Of all the widely used mobile applications, none have more potential for helping solve crimes than those with geo-location tools. Written for investigators and forensic practitioners, Google Earth Forensics is written by an investigator and trainer with more than 13 years of experience in law enforcement who will show you how to use this valuable tool anywhere at the crime scene, in the lab, or in the courtroom. Learn how to extract location-based evidence using the Google Earth program or app on computers and mobile devices Covers the basics of GPS systems, the usage of Google Earth, and helps sort through data imported from external evidence sources Includes tips on presenting evidence in compelling, easy-to-understand formats

Over the last few years, IBM® IMS™ and IMS tools have been modernizing the interfaces to IMS and the IMS tools to bring them more in line with the current interface designs. As the mainframe software products are becoming more integrated with the Windows and mobile environments, a common approach to interfaces is becoming more relevant. The traditional 3270 interface with ISPF as the main interface is no longer the only way to do some of these processes. There is also a need to provide more of a common looking interface so the tools do not have a product-specific interface. This allows more cross product integration. Eclipse and web-based interfaces being used in a development environment, tooling using those environments provides productivity improvements in that the interfaces are common and familiar. IMS and IMS tools developers are making use of those environments to provide tooling that will perform some of the standard DBA functions. This book will take some selected processes and show how this new tooling can be used. This will provide some productivity improvements and also provide a more familiar environment for new generations DBAs. Some of the functions normally done by DBA or console operators can now be done in this eclipse-based environment by the application developers. This means that the need to request these services from others can be eliminated. This IBM Redbooks® publication examines specific IMS DBA processes and highlights the new IMS and IMS tools features, which show an alternative way to accomplish those processes. Each chapter highlights a different area of the DBA processes like: PSB creation Starting/stopping a database in an IMS system Recovering a database Cloning a set of databases

This book deals with the migration from JES3 to JES2. Part One describes this decision. Part Two describes the steps and considerations of this migration. This IBM® Redbooks® publication provides information to help clients that have JES3 and would like to migrate to JES2. It provides a comprehensive list of the differences between the two job entry subsystems and provides information to help you determine the migration effort and actions. The book is aimed at operations personnel, system programmers, and application developers.

Need a quick and easy to understand introduction to MongoDB and NoSQL databases? MongoDB Basics, from The Definitive Guide to MongoDB, 2E, shows you how a document-oriented database system differs from a relational database, and how to install and get started using it. You'll also learn MongoDB design basics, including geospatial indexing, how to navigate, view, and query your database, and how to use GridFS with a bit of Python.

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

Build interactive, data-driven websites with the potent combination of open-source technologies and web standards, even if you have only basic HTML knowledge. With this popular hands-on guide, you’ll tackle dynamic web programming with the help of today’s core technologies: PHP, MySQL, JavaScript, jQuery, CSS, and HTML5.

Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity. After defining database queries and similarity search queries, the book organizes the most common and representative index structures according to their characteristics. The author first describes low-dimensional index structures, memory-based index structures, and hierarchical disk-based index structures. He then outlines useful distance measures and index structures that use the distance information to efficiently solve similarity search queries. Focusing on the difficult dimensionality phenomenon, he also presents several indexing methods that specifically deal with high-dimensional spaces. In addition, the book covers data reduction techniques, including embedding, various data transforms, and histograms. Through numerous real-world examples, this book explores how to effectively index and search for information in large collections of data. Requiring only a basic computer science background, it is accessible to practitioners and advanced undergraduate students.

Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing. Sparse Modeling: Theory, Algorithms, and Applications provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. The book gets you up to speed on the latest sparsity-related developments and will motivate you to continue learning about the field. The authors first present motivating examples and a high-level survey of key recent developments in sparse modeling. The book then describes optimization problems involving commonly used sparsity-enforcing tools, presents essential theoretical results, and discusses several state-of-the-art algorithms for finding sparse solutions. The authors go on to address a variety of sparse recovery problems that extend the basic formulation to more sophisticated forms of structured sparsity and to different loss functions. They also examine a particular class of sparse graphical models and cover dictionary learning and sparse matrix factorizations.

Unlock the full potential of GeoServer and master the art of serving dynamic maps and geospatial services by using this comprehensive cookbook. With practical, step-by-step instructions, you'll learn advanced techniques to optimize your GeoServer installations, style maps, and handle advanced configurations seamlessly. What this Book will help me do Optimize GeoServer for efficient handling of vector and raster data, ensuring excellent performance for GIS applications. Create visually dynamic and customized maps using advanced CSS styling techniques tailored for GeoServer. Expand the capabilities of your maps by incorporating time and elevation dimensions. Master database configurations, coordinate reference systems handling, and GeoWebCache to enhance GIS system efficiency. Automate and streamline GeoServer configurations to ensure consistent and effective deployment processes. Author(s) None Iacovella, a seasoned expert in GIS technologies with extensive experience in geospatial applications, provides readers with a hands-on and practical approach in this book. Leveraging years of working with GeoServer, their guidance is clear, precise, and comprehensive. Iacovella's focus on real-world applications makes their writing an invaluable resource for GIS practitioners. Who is it for? This book is designed for GIS experts, developers, and system administrators who aim to build professional-grade map services using GeoServer. It is ideal for individuals who already have a foundational understanding of GIS concepts and basic GeoServer usage. Whether you're looking to optimize performance, experiment with advanced configurations, or generate visually striking geographic data representations, this book will be incredibly beneficial. If you're an aspiring geospatial professional, this guide will help you elevate your skills to the next level.

Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can’t be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You’ll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big Data Understand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data Discusses the value in Big Data that is often overlooked, non-repetitive data, and why there is significant business value in using it Shows how to turn textual information into a form that can be analyzed by standard tools Explains how Big Data fits within an existing systems environment Presents new opportunities that are afforded by the advent of Big Data Demystifies the murky waters of repetitive and non-repetitive data in Big Data

You have installed and performed the basic customization of IBM® Tivoli® Storage Productivity Center. You have collected performance data collection and generated reports. Now it’s time to learn the best ways to use the software to manage your storage infrastructure. This IBM Redbooks® publication shows the best way to set up the software, based on your storage environment, and then how to use it to manage your infrastructure. It includes experiences from IBM clients and staff and covers the following topics: Architectural design techniques (sizing your environment, single versus multiple installations, physical versus virtual servers, deployment in a large, existing storage infrastructure) Database and server considerations (database backup and restoration methods and scripts, using IBM Data Studio Client for database administration, database placement and relocation, repository sizing and tuning, moving and migrating the server) Alerting, monitoring and reporting (monitoring thresholds and alerts, performance management and analysis of reports, real-time performance monitoring for IBM SAN Volume Controller) Security considerations (Tivoli Storage Productivity Center internal user IDs, user authentication configuration methods, how and why to set up and change passwords, configuring, querying, and testing LDAP and Microsoft Active Directory) Heath checks (server heath and logs, health and recoverability of IBM DB2® databases, using the Database Maintenance tool) Data management techniques (how to spot unusual growth incidents, scripted actions for Tivoli Storage manager and hierarchical storage management) This book is for storage administrators who are responsible for the performance and growth of the IT storage infrastructure.

In "Learning HBase", you'll dive deep into the core functionalities of Apache HBase and understand its applications in handling Big Data environments. By exploring both theoretical concepts and practical scenarios, you'll acquire the skills to set up, manage, and optimize HBase clusters. What this Book will help me do Understand and explain the components of the HBase ecosystem. Install and configure HBase clusters for optimized performance. Develop and maintain applications using HBase's structured storage model. Troubleshoot and resolve common issues in HBase deployments. Leverage Hadoop tools and advanced techniques to enhance HBase capabilities. Author(s) None Shriparv is a skilled technologist with a robust background in Big Data tools and application development. With hands-on expertise in distributed storage systems and data analytics, they lend exceptional insights into managing HBase environments. Their approach combines clarity, practicality, and a focus on real-world applicability. Who is it for? This book is ideal for system administrators and developers who are starting their journey in Big Data technology. With clear explanations and hands-on scenarios, it suits those seeking foundational and intermediate knowledge of the HBase ecosystem. Suitably designed, it helps students, early-career professionals, and mid-level technologists enhance their expertise. If you work in Big Data and want to grow your skill set in distributed storage systems, this book is for you.

Mastering GeoServer is your complete guide to deploying GeoServer for enterprise geospatial data hosting. You'll gain advanced skills in data integration, security, and analysis to create efficient and secure mapping systems. What this Book will help me do Learn to install and configure GeoServer for secure and scalable enterprise use. Optimize data handling for complex datasets, including vectors and rasters. Enhance GeoServer's security with corporate integration and secure connections. Gain expertise in styling and deploying production-ready maps. Monitor and optimize GeoServer's performance for large-scale operations. Author(s) None Henderson is a seasoned GIS specialist with years of experience in geospatial systems and geospatial data hosting solutions. Known for their practical insights and clear explanations, Henderson brings practical expertise to every chapter. They aim to provide readers with actionable, real-world solutions to hosting and managing geospatial data effectively. Who is it for? This book is ideal for GIS professionals, system administrators, and developers managing enterprise-scale geospatial data. Whether you're new to GeoServer or aiming to enhance an existing deployment, you'll find tailored guidance for your needs. Readers should have basic GIS knowledge but need not have previous GeoServer experience. This book targets those looking to optimize geospatial servers for enterprise environments.

RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology. With an approach that combines technical detail with theoretical background, this book shows how to design and develop semantic web applications, data models, indexing and query processing solutions. Understand the Semantic Web, RDF, RDFS, SPARQL, and OWL within the context of relational database management and NoSQL systems Learn about the prevailing RDF triples solutions for both relational and non-relational databases, including column family, document, graph, and NoSQL Implement systems using RDF data with helpful guidelines and various storage solutions for RDF Process SPARQL queries with detailed explanations of query optimization, query plans, caching, and more Evaluate which approaches and systems to use when developing Semantic Web applications with a helpful description of commercial and open-source systems