Use this guide to master the XML metalanguage and JSON data format along with significant Java APIs for parsing and creating XML and JSON documents from the Java language. New in this edition is coverage of Jackson (a JSON processor for Java) and Oracle´s own Java API for JSON processing (JSON-P), which is a JSON processing API for Java EE that also can be used with Java SE. This new edition of Java XML and JSON also expands coverage of DOM and XSLT to include additional API content and useful examples. All examples in this book have been tested under Java 11. In some cases, source code has been simplified to use Java 11´s var language feature. The first six chapters focus on XML along with the SAX, DOM, StAX, XPath, and XSLT APIs. The remaining six chapters focus on JSON along with the mJson, GSON, JsonPath, Jackson, and JSON-P APIs. Each chapter ends with select exercises designed to challenge your grasp of the chapter´s content. An appendix provides the answers to these exercises. What You´ll Learn Master the XML language Create, validate, parse, and transform XML documents Apply Java´s SAX, DOM, StAX, XPath, and XSLT APIs Master the JSON format for serializing and transmitting data Code against third-party APIs such as Jackson, mJson, Gson, JsonPath Master Oracle´s JSON-P API in a Java SE context Who This Book Is For Intermediate and advanced Java programmers who are developing applications that must access data stored in XML or JSON documents. The book also targets developers wanting to understand the XML language and JSON data format.
Use this guide to master the XML metalanguage and JSON data format along with significant Java APIs for parsing and creating XML and JSON documents from the Java language. New in this edition is coverage of Jackson (a JSON processor for Java) and Oracle?s own Java API for JSON processing (JSON-P), which is a JSON processing API for Java EE that also can be used with Java SE. This new edition of Java XML and JSON also expands coverage of DOM and XSLT to include additional API content and useful examples. All examples in this book have been tested under Java 11. In some cases, source code has been simplified to use Java 11?s var language feature. The first six chapters focus on XML along with the SAX, DOM, StAX, XPath, and XSLT APIs. The remaining six chapters focus on JSON along with the mJson, GSON, JsonPath, Jackson, and JSON-P APIs. Each chapter ends with select exercises designed to challenge your grasp of the chapter´s content. An appendix provides the answers to these exercises. What You´ll Learn Master the XML language Create, validate, parse, and transform XML documents Apply Java?s SAX, DOM, StAX, XPath, and XSLT APIs Master the JSON format for serializing and transmitting data Code against third-party APIs such as Jackson, mJson, Gson, JsonPath Master Oracle?s JSON-P API in a Java SE context Who This Book Is For Intermediate and advanced Java programmers who are developing applications that must access data stored in XML or JSON documents. The book also targets developers wanting to understand the XML language and JSON data format.
Quickly find solutions to dozens of common problems encountered while using XML and JSON features that are built into SQL Server. Content is presented in the popular problem-solution format. Look up the problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved! This book shows how to take advantage of XML and JSON to share data and automate tasks. JSON is commonly used to move data back and forth between the database and front-end applications, often running in a browser. This book shows all you need to know about transforming query results into JSON format, and back again. Also covered are the processes and techniques for moving data into and out of XML format for business intelligence and other purposes, such as when transferring data from a reporting system into a data warehouse, or between different database brands such as between SQL Server and Oracle. Microsoft intensively implements XML in SQL Server, and in many related products. Execution plans are generated in XML format, and this book shows you how to parse those plans and automate the detection of performance problems. The relatively new Extended Events feature writes tracing data into XML files, and the recipes in this book help in parsing those files. XML is also used in SQL Server´s BI tool set, including in SSIS, SSR, and SSAS. XML is used in many configuration files, and is even behind the construction of DDL triggers. In reading this book you´ll dive deeply into the features that allow you to build and parse XML, and also JSON, which is a specific format of XML used to transmit objects in a web-friendly format between a database and its front-end applications. What You Will Learn Build XML and JSON objects in support of automation and data transfer Import and parse XML and JSON from operating system files Build appropriate indexes on XML objects to improve query performance Move data from query result sets into JSON format, and back again Automate the detection of database performance problems by querying and parsing the database´s own execution plans Replace external and manual JSON processes with SQL Server´s internal, JSON functionality Who This Book Is For Database administrators, .NET developers, business intelligence developers, and other professionals who want a deep and detailed skill set around working with XML and JSON in a SQL Server database environment. Web developers will particularly find the book useful for its coverage of transforming database result sets into JSON text that can be transmitted to front-end web applications.
Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions.This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.
A hands on guide to web scraping and text mining for both beginners and experienced users of R * Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. * Provides basic techniques to query web documents and data sets (XPath and regular expressions). * An extensive set of exercises are presented to guide the reader through each technique. * Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. * Case studies are featured throughout along with examples for each technique presented. * R code and solutions to exercises featured in the book are provided on a supporting website.
This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You?ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started?whether you?re on Windows, OS X, or Linux?author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible technology. Even if you?re already comfortable processing data with, say, Python or R, you?ll greatly improve your data science workflow by also leveraging the power of the command line. * Obtain data from websites, APIs, databases, and spreadsheets * Perform scrub operations on plain text, CSV, HTML/XML, and JSON * Explore data, compute descriptive statistics, and create visualizations * Manage your data science workflow using Drake * Create reusable tools from one-liners and existing Python or R code * Parallelize and distribute data-intensive pipelines using GNU Parallel * Model data with dimensionality reduction, clustering, regression, and classification algorithms
Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives: Know when a data model is needed and which type of data model is most effective for each situation Read a data model of any size and complexity with the same confidence as reading a book Build a fully normalized relational data model, as well as an easily navigatable dimensional model Apply techniques to turn a logical data model into an efficient physical design Leverage several templates to make requirements gathering more efficient and accurate Explain all ten categories of the Data Model Scorecard Learn strategies to improve your working relationships with others Appreciate the impact unstructured data has, and will have, on our data modeling deliverables Learn basic UML concepts Put data modeling in context with XML, metadata, and agile development Book Review by Johnny Gay In this book review, I address each section in the book and provide what I found most valuable as a data modeler. I compare, as I go, how the book´s structure eases the new data modeler into the subject much like an instructor might ease a beginning swimmer into the pool. This book begins like a Dan Brown novel. It even starts out with the protagonist, our favorite data modeler, lost on a dark road somewhere in France. In this case, what saves him isn´t a cipher, but of all things, something that´s very much like a data model in the form of a map! The author deems they are both way-finding tools.
Prepare for Microsoft Exam 70-761?and help demonstrate your real-world mastery of SQL Server 2016 Transact-SQL data management, queries, and database programming. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical-thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: ? Filter, sort, join, aggregate, and modify data ? Use subqueries, table expressions, grouping sets, and pivoting ? Query temporal and non-relational data, and output XML or JSON ? Create views, user-defined functions, and stored procedures ? Implement error handling, transactions, data types, and nulls This Microsoft Exam Ref: ? Organizes its coverage by exam objectives ? Features strategic, what-if scenarios to challenge you ? Assumes you have experience working with SQL Server as a database administrator, system engineer, or developer ? Includes downloadable sample database and code for SQL Server 2016 SP1 (or later) and Azure SQL Database
The perfect guide to help you understand XBRL-from the ´´father of XBRL´´ What is XBRL and how can it help you streamline your business reporting? This plain-English guide from the ´´father of XBRL,´´ Charles Hoffman, will tell you what it is, why it is, and how you can get on the bus with this new SEC-mandated business reporting standard for publicly-traded companies. A CPA, Hoffman is credited with the idea of applying XML data to financial reporting; XBRL is the language that resulted. Learn to prepare financial statements with XBRL, use it for strategic planning, move all relevant departments in your company to the same system, and more. * XBRL (eXtensible Business Reporting Language) is an XML-based open standard for accounting data; author Charles Hoffman is credited with the idea of applying XML data to financial reporting * Plan for XBRL implementation, set action-oriented agendas, and identify stakeholders and subject-matter experts within your organization * Learn to choose from and adapt existing XBRL taxonomies to comply with US GAAP and IFRS standards Topics also include how to adapt your existing financial information into XBRL.
Beginning Visual Basic 2008 Databases teaches you everything you need to know about relational databases, SQL, and ADO.NET 2.0. It gives you a sound start in developing console and Windows database applications. The book also includes chapters on the new SQL Server XML data type and the forthcoming LINQ enhancements to the next version of Visual Basic. In addition to teaching you such basics as using SQL to communicate with databases, this book provides you with detailed, code-practical techniques to access data in VB 2008 across a range of coding situations.