1) XML Tools in Perl provides an overview of XML parsing and processing tools available in Perl. It discusses the pros and cons of different parser libraries like XML::Parser, XML::SAX, XML::Twig, XML::LibXML, and XML::Xerces.
2) The document then summarizes different approaches to processing XML like SAX streaming, DOM tree-based parsing, and XPath/XQuery querying. It provides examples of using these approaches with XML::LibXML and XML::XPath.
3) Finally, it discusses best practices for XML parsing and validation including using XML catalogs to cache DTDs and schemas locally, choosing a robust and fast parser like XML::LibXML,
This document provides an overview of DOM and SAX, two common XML APIs in Java. It describes the key differences between DOM and SAX, including that DOM builds an in-memory tree representation, while SAX parses the XML as a stream of events. The document also provides code examples for using SAX to parse XML and extract data, and examples of how to access and manipulate DOM trees after parsing XML.
XMLDB Building Blocks And Best Practices - Oracle Open World 2008 - Marco Gra...Marco Gralike
The document provides an overview of Oracle XMLDB building blocks and best practices. It discusses issues with storing XML data in relational databases, including the impedance mismatch between the XML and relational data models. It also highlights worst practices like not optimizing data access and only using a single table to store all XML data. The document recommends using XML schemas to define logical and physical storage structures and leveraging Oracle XMLDB features like binary XML storage, XML indexes, and partitioning.
Real World Experience With Oracle Xml Database 11g An Oracle Ace’s Perspectiv...Marco Gralike
The document discusses the speaker's experience with Oracle XML Database 11g and provides an overview of key topics. It covers that XML is not relational, how to set up and configure the XML database, XML handling and storage options, the protocol server, using the repository, and data handling functions. The speaker aims to discuss encountered issues and provide tips based on their experience with the XML database.
The document discusses XML parsing and processing. It describes two main approaches:
1) Simple API for XML (SAX) - Parses XML as a sequence of events by using event handlers for start/end tags. This is faster but requires processing elements sequentially.
2) Document Object Model (DOM) - Parses XML into a tree structure of nodes that can be randomly accessed. This allows non-sequential access but uses more memory.
It also discusses the Java API for XML Processing (JAXP) which provides a standardized way to access SAX and DOM parsers from Java code.
César D. Rodas gave a presentation on advanced MongoDB topics at Yahoo! Open Hack Day 2010 in São Paulo, Brazil. The presentation covered MongoDB queries, designing a data model for a blog site, and optimizing the data model to work in a sharded environment. Key points included how to connect to MongoDB from PHP, perform queries and pagination, and configure sharding of the blog and user collections to distribute the databases and collections across multiple servers.
OakTable World 2015 - Using XMLType content with the Oracle In-Memory Column...Marco Gralike
This document discusses using Oracle's in-memory column store capabilities to improve performance of XML data stored and queried using XMLType. Key points include selectively applying in-memory storage to columns and indexes for XML data, issues with optimization and costs not fully accounting for performance gains, and opportunities for further optimization of XML retrieval using DOM/XOM. In-memory storage can significantly boost XML performance but careful design is still required.
This document provides an overview of Java and XML processing using DOM, SAX, and JDOM. It outlines the key components and approaches for each, including parsing XML files into a DOM or SAX event model, traversing nodes and elements, and accessing attributes and content. JDOM is presented as an alternative Java DOM that supports Java collections and provides additional convenience methods for working with XML content.
UKOUG 2011 - Drag, Drop and other Stuff. Using your Database as a File ServerMarco Gralike
The document discusses Oracle XML DB Repository and its features. It describes how the repository is based on XML standards and can store, consume, generate, and validate XML. It also supports resource manipulation using packages and views. Events and extensions are supported through XML configuration files and schemas. Use cases demonstrate how unstructured files can be stored and metadata extracted for additional processing and display.
This document provides a summary of Solr's built-in query parsers. It details the "lucene" query parser, dismax query parser, and other parsers like spatial, boost, term, and prefix parsers. It explains how to specify a query parser and leverage nested querying. The document concludes by covering new features in Solr 4.x like the surround and switch query parsers.
In this On-Demand Webinar, Erik Hatcher, co-founder of Lucid Imagination, co-author of Lucene in Action, and Lucene/Solr PMC member and committer, presents and discusess key features and innovations of Apache Solr 1.4
This document discusses processing SPARQL queries using Java with ARQ. It demonstrates how to execute a SPARQL query on an ontology model, print the results, and analyze various aspects of the query such as retrieving result variables, analyzing query elements like triple patterns, and examining the prefix mappings and expressions. The document provides an overview of executing SPARQL queries programmatically using the ARQ processor for Jena.
This document summarizes XML out-of-band data retrieval attacks using XML external entities. It discusses how XML external entities can be used to retrieve files from remote servers or make requests to external resources. It also covers how entities defined in attributes can be used to bypass restrictions on external entity references. The document demonstrates these attack techniques and outlines tools that can automate XML out-of-band exploitation.
BGOUG 2012 - Drag & drop and other stuff - Using your database as a file serverMarco Gralike
The document discusses Oracle XML DB Repository and its features. It describes how XML DB Repository stores, consumes, generates and validates XML. It can handle files and folders through various protocols like HTTP(s), FTP and WebDAV. It also supports versioning, XML schemas, and extending XML schema functionality. Events can be handled using event listeners and handlers. Security is provided through default ACLs. Files can be accessed through SQL, PL/SQL and other methods.
Introduction on how to use open data and Python, with examples of RDFLib, SuRF and RDF-Alchemy.
http://softwarelivre.org/fisl13
Apache Solr is an enterprise search platform built on Apache Lucene. It provides fast, scalable search functionality and allows for spell checking, highlighting, faceting and more. Solr configurations are defined in schema.xml and solrconfig.xml files which specify fields, analyzers, caching and other settings. Documents are indexed and queried via HTTP requests to Solr servers. Liferay can integrate with Solr to offload search indexing and querying for improved performance in clustered environments.
After a thorough overview of the main features and benefits of Apache Solr (an open source search server), the architecture of Solr and strategies to adopt it for your PHP application and data model will be presented. The main lessons learned around dealing with a mix of structured and non-structured content, multilingual aspects, tuning and the various state-of-the-art features of Solr will be shared as well
This document discusses XML processing and provides examples of XML code. It defines XML as an extensible markup language that is a standard for describing data. It explains that XML documents must be well-formed according to XML rules and may also be valid if they conform to a document type definition (DTD) or schema. The document outlines two common approaches for parsing XML documents - DOM and SAX. It also introduces JDom, a Java library that simplifies working with XML documents using either DOM or SAX parsing.
No REST for the Wicked: REST and CatalystJay Shirley
The document provides an overview of REST and how it can be implemented using the Catalyst framework in Perl. It discusses what REST is, how it leverages existing aspects of HTTP like verbs and status codes, and isn't a defined protocol but a set of best practices. It then describes the Catalyst::Action::REST module which makes it easy to build RESTful APIs in Catalyst and supports various serialization formats. Examples are given of performing CRUD operations via REST calls from the command line and how to handle this in browsers using JavaScript and YUI.
Jdom how it works & how it opened the java processHicham QAISSI
The document discusses JDOM, an open source Java library for parsing, manipulating, and outputting XML documents. It provides a straightforward API for working with XML in Java without requiring knowledge of DOM or SAX. JDOM aims to simplify common XML tasks, integrate with existing standards, and stay up to date with evolving XML specifications. It represents an XML document using lightweight Java objects that can be easily traversed, modified, and converted between DOM, SAX, and XML formats.
The use of the code analysis library OpenC++: modifications, improvements, er...PVS-Studio
The document discusses modifications and improvements made to the OpenC++ code analysis library. It describes 15 modifications to the library related to error corrections or adding new functionality. The modifications include adding support for new keywords, skipping compiler-specific keywords, getting values of numerical literals, and fixing file paths. The purpose is to help developers use and improve OpenC++, while also demonstrating how to modify the library code.
Fábio Telles Rodriguez is a consultant and DBA with over 15 years of experience with Oracle and PostgreSQL. The document provides an overview of the history and development of PostgreSQL from its early versions in the 1970s-1990s to its modern features and widespread adoption today. It highlights key milestones like the introduction of procedural languages, data types, extensions, and replication capabilities. The open development process and large ecosystem of forks and extensions are also summarized.
Hin síðari ári hafa komið fram lausnir sem varpa gögnum sjálfkrafa í töflugagnagrunna. Þetta er svoköllum Object-Relational Mapping tól. Þar sem slík vörpun er svo algeng þá má nota svo tól til að framkvæma vörpunina sjálfkrafa. Tilvik af klasa í minni er sjálfkrafa varpað á töflu í gunninum. Eitt tól sem gerir þetta er Hibernate og munum við skoða það nánar.
Við skoðum einnig NoSQL grunna en þessir grunnar hafa komið fram með 21. allar vefkerfum sem þurfa að skala yfir mjög margar nóður. Þar hentar Releational grunnurinn illa og önnur módel hafa verið reynd.
Power to the People: Redis Lua ScriptsItamar Haber
Redis is the Sun.
Earth is your application.
Imagine that the Moon is stuck in the middle of the Sun.
You send non-melting rockets (scripts) with robots
(commands) and cargo (data) back and forth…
Apache Solr is a search engine that can scale from a personal project to a multi-terabyte cloud hosted cluster. At the same time, this ability to scale, tune and adjust to the clients' needs, can make it hard to understand the right aspects of Solr to bring to the problem.
In this session, Alexandre Rafalovitch (an Apache Solr committer) will do a speed run demonstrating how to create and tune a Solr 7.3 instance for a hypothetical Corporate Phone Directory application. It will cover:
*) The smallest learning schema/configuration required
*) Rapid schema evolution workflow
*) Dealing with multiple languages
*) Dealing with misspellings in search
*) Searching phone numbers
Presented at Solr meetup in Montreal, in May 2018.
Backing GitHub repository is: https://github.com/arafalov/solr-presentation-2018-may
Apache Solr is a search platform built on Apache Lucene. It provides powerful indexing and search capabilities along with features like real-time indexing, faceted search, caching, and replication. Solr configuration is done through XML files that define aspects like tokenization, stemming, synonyms, and stop words. Solr uses REST services and exposes a HTTP interface to provide search functionality in a stateless manner.
EXPath: the packaging system and the webapp frameworkFlorent Georges
The document introduces EXPath, an open source initiative for creating portable XML libraries and web application frameworks. It discusses the packaging system for XML libraries, which allows libraries and extensions to be installed and used across different XML technologies and processors. It also describes the Webapp module, which defines a standard way to map HTTP requests to XQuery, XSLT or XProc components to build portable web applications.
This document discusses input/output (I/O) in Java. It covers handling files and directories using the File class, understanding character-based and byte-based streams, and examples of character and binary file input/output. Character I/O uses Readers and Writers, while binary I/O uses DataStreams. A BufferedReader is required to read full lines of text from a file. Formatting output is handled using DecimalFormat since Java has no printf method. Streams can be chained together, such as a FileOutputStream chained to a DataOutputStream for binary file output.
This document provides an overview of XML (eXtensible Markup Language). It defines XML as a meta language that allows users to create their own document markups. XML files are easy to read, unambiguous, extensible, and platform-independent. The document compares XML to HTML and discusses XML parsers like SAX and DOM. It also covers XML schemas, which provide structure to XML documents, and an example of Glade XML structure.
This document provides an overview of XML (eXtensible Markup Language). It defines XML as a meta markup language for representing text documents and data. XML allows users to define their own tags to represent different types of information. The document discusses how XML documents form a tree structure with a root element and nested elements. It also covers XML syntax rules and parsing methods like SAX and DOM that can be used to read and manipulate XML documents.
This document provides a summary of Solr's built-in query parsers. It details the "lucene" query parser, dismax query parser, and other parsers like spatial, boost, term, and prefix parsers. It explains how to specify a query parser and leverage nested querying. The document concludes by covering new features in Solr 4.x like the surround and switch query parsers.
In this On-Demand Webinar, Erik Hatcher, co-founder of Lucid Imagination, co-author of Lucene in Action, and Lucene/Solr PMC member and committer, presents and discusess key features and innovations of Apache Solr 1.4
This document discusses processing SPARQL queries using Java with ARQ. It demonstrates how to execute a SPARQL query on an ontology model, print the results, and analyze various aspects of the query such as retrieving result variables, analyzing query elements like triple patterns, and examining the prefix mappings and expressions. The document provides an overview of executing SPARQL queries programmatically using the ARQ processor for Jena.
This document summarizes XML out-of-band data retrieval attacks using XML external entities. It discusses how XML external entities can be used to retrieve files from remote servers or make requests to external resources. It also covers how entities defined in attributes can be used to bypass restrictions on external entity references. The document demonstrates these attack techniques and outlines tools that can automate XML out-of-band exploitation.
BGOUG 2012 - Drag & drop and other stuff - Using your database as a file serverMarco Gralike
The document discusses Oracle XML DB Repository and its features. It describes how XML DB Repository stores, consumes, generates and validates XML. It can handle files and folders through various protocols like HTTP(s), FTP and WebDAV. It also supports versioning, XML schemas, and extending XML schema functionality. Events can be handled using event listeners and handlers. Security is provided through default ACLs. Files can be accessed through SQL, PL/SQL and other methods.
Introduction on how to use open data and Python, with examples of RDFLib, SuRF and RDF-Alchemy.
http://softwarelivre.org/fisl13
Apache Solr is an enterprise search platform built on Apache Lucene. It provides fast, scalable search functionality and allows for spell checking, highlighting, faceting and more. Solr configurations are defined in schema.xml and solrconfig.xml files which specify fields, analyzers, caching and other settings. Documents are indexed and queried via HTTP requests to Solr servers. Liferay can integrate with Solr to offload search indexing and querying for improved performance in clustered environments.
After a thorough overview of the main features and benefits of Apache Solr (an open source search server), the architecture of Solr and strategies to adopt it for your PHP application and data model will be presented. The main lessons learned around dealing with a mix of structured and non-structured content, multilingual aspects, tuning and the various state-of-the-art features of Solr will be shared as well
This document discusses XML processing and provides examples of XML code. It defines XML as an extensible markup language that is a standard for describing data. It explains that XML documents must be well-formed according to XML rules and may also be valid if they conform to a document type definition (DTD) or schema. The document outlines two common approaches for parsing XML documents - DOM and SAX. It also introduces JDom, a Java library that simplifies working with XML documents using either DOM or SAX parsing.
No REST for the Wicked: REST and CatalystJay Shirley
The document provides an overview of REST and how it can be implemented using the Catalyst framework in Perl. It discusses what REST is, how it leverages existing aspects of HTTP like verbs and status codes, and isn't a defined protocol but a set of best practices. It then describes the Catalyst::Action::REST module which makes it easy to build RESTful APIs in Catalyst and supports various serialization formats. Examples are given of performing CRUD operations via REST calls from the command line and how to handle this in browsers using JavaScript and YUI.
Jdom how it works & how it opened the java processHicham QAISSI
The document discusses JDOM, an open source Java library for parsing, manipulating, and outputting XML documents. It provides a straightforward API for working with XML in Java without requiring knowledge of DOM or SAX. JDOM aims to simplify common XML tasks, integrate with existing standards, and stay up to date with evolving XML specifications. It represents an XML document using lightweight Java objects that can be easily traversed, modified, and converted between DOM, SAX, and XML formats.
The use of the code analysis library OpenC++: modifications, improvements, er...PVS-Studio
The document discusses modifications and improvements made to the OpenC++ code analysis library. It describes 15 modifications to the library related to error corrections or adding new functionality. The modifications include adding support for new keywords, skipping compiler-specific keywords, getting values of numerical literals, and fixing file paths. The purpose is to help developers use and improve OpenC++, while also demonstrating how to modify the library code.
Fábio Telles Rodriguez is a consultant and DBA with over 15 years of experience with Oracle and PostgreSQL. The document provides an overview of the history and development of PostgreSQL from its early versions in the 1970s-1990s to its modern features and widespread adoption today. It highlights key milestones like the introduction of procedural languages, data types, extensions, and replication capabilities. The open development process and large ecosystem of forks and extensions are also summarized.
Hin síðari ári hafa komið fram lausnir sem varpa gögnum sjálfkrafa í töflugagnagrunna. Þetta er svoköllum Object-Relational Mapping tól. Þar sem slík vörpun er svo algeng þá má nota svo tól til að framkvæma vörpunina sjálfkrafa. Tilvik af klasa í minni er sjálfkrafa varpað á töflu í gunninum. Eitt tól sem gerir þetta er Hibernate og munum við skoða það nánar.
Við skoðum einnig NoSQL grunna en þessir grunnar hafa komið fram með 21. allar vefkerfum sem þurfa að skala yfir mjög margar nóður. Þar hentar Releational grunnurinn illa og önnur módel hafa verið reynd.
Power to the People: Redis Lua ScriptsItamar Haber
Redis is the Sun.
Earth is your application.
Imagine that the Moon is stuck in the middle of the Sun.
You send non-melting rockets (scripts) with robots
(commands) and cargo (data) back and forth…
Apache Solr is a search engine that can scale from a personal project to a multi-terabyte cloud hosted cluster. At the same time, this ability to scale, tune and adjust to the clients' needs, can make it hard to understand the right aspects of Solr to bring to the problem.
In this session, Alexandre Rafalovitch (an Apache Solr committer) will do a speed run demonstrating how to create and tune a Solr 7.3 instance for a hypothetical Corporate Phone Directory application. It will cover:
*) The smallest learning schema/configuration required
*) Rapid schema evolution workflow
*) Dealing with multiple languages
*) Dealing with misspellings in search
*) Searching phone numbers
Presented at Solr meetup in Montreal, in May 2018.
Backing GitHub repository is: https://github.com/arafalov/solr-presentation-2018-may
Apache Solr is a search platform built on Apache Lucene. It provides powerful indexing and search capabilities along with features like real-time indexing, faceted search, caching, and replication. Solr configuration is done through XML files that define aspects like tokenization, stemming, synonyms, and stop words. Solr uses REST services and exposes a HTTP interface to provide search functionality in a stateless manner.
EXPath: the packaging system and the webapp frameworkFlorent Georges
The document introduces EXPath, an open source initiative for creating portable XML libraries and web application frameworks. It discusses the packaging system for XML libraries, which allows libraries and extensions to be installed and used across different XML technologies and processors. It also describes the Webapp module, which defines a standard way to map HTTP requests to XQuery, XSLT or XProc components to build portable web applications.
This document discusses input/output (I/O) in Java. It covers handling files and directories using the File class, understanding character-based and byte-based streams, and examples of character and binary file input/output. Character I/O uses Readers and Writers, while binary I/O uses DataStreams. A BufferedReader is required to read full lines of text from a file. Formatting output is handled using DecimalFormat since Java has no printf method. Streams can be chained together, such as a FileOutputStream chained to a DataOutputStream for binary file output.
This document provides an overview of XML (eXtensible Markup Language). It defines XML as a meta language that allows users to create their own document markups. XML files are easy to read, unambiguous, extensible, and platform-independent. The document compares XML to HTML and discusses XML parsers like SAX and DOM. It also covers XML schemas, which provide structure to XML documents, and an example of Glade XML structure.
This document provides an overview of XML (eXtensible Markup Language). It defines XML as a meta markup language for representing text documents and data. XML allows users to define their own tags to represent different types of information. The document discusses how XML documents form a tree structure with a root element and nested elements. It also covers XML syntax rules and parsing methods like SAX and DOM that can be used to read and manipulate XML documents.
- The document is a presentation about XML given by Mr. Viraf Karai to staff of Sila Solutions Group in Seattle, WA on February 27, 2009 and March 6, 2009.
- The presentation covers topics such as the history of XML, XML syntax and semantics, well-formed and valid XML, DTDs, XML schemas, and Relax NG.
- Examples are provided of well-formed XML documents and how they can be defined and validated using DTDs, XML schemas, and Relax NG.
XML is a markup language that allows for the creation of structured documents. It is characterized by specific tags rather than generic tags, an infinite number of possible tags rather than a finite set, and structure rather than presentation. XML documents must be well-formed, following syntax rules for proper nesting and closing of tags. They may also be valid, referencing a DTD that defines the elements and attributes allowed. XML enables data exchange across different systems and self-describes the structure and meaning of data tags.
This document discusses XML (eXtensible Markup Language). It defines XML, outlines its advantages over HTML and other data formats. These include being human-readable, industry supported, and allowing validation of data. The document also compares XML to HTML, describes XML technologies like DTDs, schemas, CSS, and XSLT. It explains how to parse and structure XML documents and the role of XML parsers.
XML stands for Extensible Markup Language and is used to mark up data so it can be processed by computers, whereas HTML is used to mark up text to be displayed for users. Both XML and HTML use elements enclosed in tags, attributes, and entities, but XML only describes content while HTML describes both structure and appearance. XML allows users to define their own tags, and is strictly structured, making it suitable for data processing by computers.
This document provides an overview and introduction to XML (eXtensible Markup Language). It discusses the basic rules of XML, parsing XML, XML namespaces, XML schemas, XSLT transformations, and examples of where XML is applied such as web design, web services, mobile web, and content authoring.
This document provides an overview of XML (eXtensible Markup Language) by comparing and contrasting it with HTML. It discusses how XML is used to mark up data for computers to process rather than for display like HTML. The document outlines the basic rules for well-formed XML, including the need for matching tags, proper nesting, and defined entities. It also covers XML extensions like namespaces, attributes, and how to define a valid XML vocabulary through DTDs or schemas.
The document compares and contrasts HTML and XML. HTML is used to display web pages for humans, while XML is used to store and transport data for processing by computers. Some key differences are that HTML defines both structure and presentation, while XML defines only content. Also, HTML uses a fixed set of predefined tags, whereas XML allows users to define their own tags.
- XML and HTML are both markup languages but have different purposes
- XML is used to store and transport data, HTML is used to display web pages
- XML focuses on describing data, HTML focuses on both structure and appearance
- XML allows users to define their own elements while HTML uses a fixed set of predefined tags
XML is a markup language similar to HTML but designed to carry data rather than display it. XML allows users to define their own elements and tags to structure data. XML separates data from display, making it well-suited for transporting data between incompatible systems or updating dynamic web pages without changing HTML. CSS can be used to style XML documents for display.
The document provides an overview of XML and related web technologies including XML, XML Schema, XSL, XQuery, web services using SOAP and WSDL, and RESTful web services. It defines these technologies and provides examples to illustrate their usage and capabilities. The document is intended as a teaching resource to introduce learners to key concepts and standards related to XML, web services, and the semantic web.
XML is a markup language that allows users to define their own tags and structure for documents. It separates content from formatting and is readable, unambiguous, extensible, and platform independent. Key aspects of XML include elements, attributes, namespaces, comments, processing instructions, and CDATA sections. Documents must be well-formed with matching tags and can also be validated against a DTD to be valid.
This document discusses XML, its components like DTDs, and applications. It describes XML as a flexible markup language that allows arbitrary tags to encode semantic data. XML documents can be well-formed or validated against DTDs. Popular APIs like DOM and SAX allow programmatic access to XML documents. While XML is human-readable and widely adopted, its text-based nature uses more space and standardization remains a work in progress. The document also outlines evolving recommendations, industry XML databases, query languages, and how XML relates to systems research issues.
The document discusses XML (eXtensible Markup Language) and related technologies. It begins with an introduction to XML, describing it as a means of structuring data. It then covers XML revolutions, basics, defining XML documents using DTDs and XML Schema, and technologies related to XML like XPath and XSLT. Key topics include XML design goals, roles of XML, XML document structure, element rules and types in DTDs, attributes, entities, and data types in XML Schema. The document provides information on core XML concepts in a technical yet concise manner.
XML is a markup language used to carry data, not display it. It allows users to define their own tags for structuring data. XML separates data from presentation, allowing data to be stored and transported independently of formatting and style. This makes XML well suited for transporting data between incompatible systems.
This document provides an overview of the history and evolution of XML technologies. It discusses how XML was developed based on SGML and aimed to describe data in a structured format. Key technologies enabled by XML include XML schemas, which define document structure and data types, and transformations languages like XSLT, which allow XML documents to be manipulated. The document also outlines Java APIs that can be used to programmatically work with XML documents and parse XML content.
Dive into the fundamentals and advanced concepts of XML (Extensible Markup Language) in this comprehensive presentation. Ideal for both beginners and experienced professionals, this guide explores XML’s purpose, structure, syntax rules, and applications in data exchange, web development, configuration files, and more.
XML (eXtensible Markup Language) is a meta markup language that allows defining custom markup languages. It became a W3C recommendation in 1998 and uses a tag-based syntax similar to HTML. XML allows defining tags to represent different types of text documents and data in a well-structured, machine-readable format. It is not a replacement for other technologies but can be converted to and used with many formats and languages.
This document provides an overview of XML, XML schema, parsing XML, and GladeXML. It defines XML and its components like elements and attributes. It describes XML schema and provides a simple example. It explains how to parse an XML document into a DOM object and access elements. It also gives an overview of how GladeXML can dynamically load user interfaces from XML descriptions.
Protecting Your Sensitive Data with Microsoft Purview - IRMS 2025Nikki Chapple
Session | Protecting Your Sensitive Data with Microsoft Purview: Practical Information Protection and DLP Strategies
Presenter | Nikki Chapple (MVP| Principal Cloud Architect CloudWay) & Ryan John Murphy (Microsoft)
Event | IRMS Conference 2025
Format | Birmingham UK
Date | 18-20 May 2025
In this closing keynote session from the IRMS Conference 2025, Nikki Chapple and Ryan John Murphy deliver a compelling and practical guide to data protection, compliance, and information governance using Microsoft Purview. As organizations generate over 2 billion pieces of content daily in Microsoft 365, the need for robust data classification, sensitivity labeling, and Data Loss Prevention (DLP) has never been more urgent.
This session addresses the growing challenge of managing unstructured data, with 73% of sensitive content remaining undiscovered and unclassified. Using a mountaineering metaphor, the speakers introduce the “Secure by Default” blueprint—a four-phase maturity model designed to help organizations scale their data security journey with confidence, clarity, and control.
🔐 Key Topics and Microsoft 365 Security Features Covered:
Microsoft Purview Information Protection and DLP
Sensitivity labels, auto-labeling, and adaptive protection
Data discovery, classification, and content labeling
DLP for both labeled and unlabeled content
SharePoint Advanced Management for workspace governance
Microsoft 365 compliance center best practices
Real-world case study: reducing 42 sensitivity labels to 4 parent labels
Empowering users through training, change management, and adoption strategies
🧭 The Secure by Default Path – Microsoft Purview Maturity Model:
Foundational – Apply default sensitivity labels at content creation; train users to manage exceptions; implement DLP for labeled content.
Managed – Focus on crown jewel data; use client-side auto-labeling; apply DLP to unlabeled content; enable adaptive protection.
Optimized – Auto-label historical content; simulate and test policies; use advanced classifiers to identify sensitive data at scale.
Strategic – Conduct operational reviews; identify new labeling scenarios; implement workspace governance using SharePoint Advanced Management.
🎒 Top Takeaways for Information Management Professionals:
Start secure. Stay protected. Expand with purpose.
Simplify your sensitivity label taxonomy for better adoption.
Train your users—they are your first line of defense.
Don’t wait for perfection—start small and iterate fast.
Align your data protection strategy with business goals and regulatory requirements.
💡 Who Should Watch This Presentation?
This session is ideal for compliance officers, IT administrators, records managers, data protection officers (DPOs), security architects, and Microsoft 365 governance leads. Whether you're in the public sector, financial services, healthcare, or education.
🔗 Read the blog: https://nikkichapple.com/irms-conference-2025/
cloudgenesis cloud workshop , gdg on campus mitasiyaldhande02
Step into the future of cloud computing with CloudGenesis, a power-packed workshop curated by GDG on Campus MITA, designed to equip students and aspiring cloud professionals with hands-on experience in Google Cloud Platform (GCP), Microsoft Azure, and Azure Al services.
This workshop offers a rare opportunity to explore real-world multi-cloud strategies, dive deep into cloud deployment practices, and harness the potential of Al-powered cloud solutions. Through guided labs and live demonstrations, participants will gain valuable exposure to both platforms- enabling them to think beyond silos and embrace a cross-cloud approach to
development and innovation.
Marko.js - Unsung Hero of Scalable Web Frameworks (DevDays 2025)Eugene Fidelin
Marko.js is an open-source JavaScript framework created by eBay back in 2014. It offers super-efficient server-side rendering, making it ideal for big e-commerce sites and other multi-page apps where speed and SEO really matter. After over 10 years of development, Marko has some standout features that make it an interesting choice. In this talk, I’ll dive into these unique features and showcase some of Marko's innovative solutions. You might not use Marko.js at your company, but there’s still a lot you can learn from it to bring to your next project.
SAP Sapphire 2025 ERP1612 Enhancing User Experience with SAP Fiori and AIPeter Spielvogel
Explore how AI in SAP Fiori apps enhances productivity and collaboration. Learn best practices for SAPUI5, Fiori elements, and tools to build enterprise-grade apps efficiently. Discover practical tips to deploy apps quickly, leveraging AI, and bring your questions for a deep dive into innovative solutions.
nnual (33 years) study of the Israeli Enterprise / public IT market. Covering sections on Israeli Economy, IT trends 2026-28, several surveys (AI, CDOs, OCIO, CTO, staffing cyber, operations and infra) plus rankings of 760 vendors on 160 markets (market sizes and trends) and comparison of products according to support and market penetration.
With Claude 4, Anthropic redefines AI capabilities, effectively unleashing a ...SOFTTECHHUB
With the introduction of Claude Opus 4 and Sonnet 4, Anthropic's newest generation of AI models is not just an incremental step but a pivotal moment, fundamentally reshaping what's possible in software development, complex problem-solving, and intelligent business automation.
AI in Java - MCP in Action, Langchain4J-CDI, SmallRye-LLM, Spring AIBuhake Sindi
This is the presentation I gave with regards to AI in Java, and the work that I have been working on. I've showcased Model Context Protocol (MCP) in Java, creating server-side MCP server in Java. I've also introduced Langchain4J-CDI, previously known as SmallRye-LLM, a CDI managed too to inject AI services in enterprise Java applications. Also, honourable mention: Spring AI.
Droidal: AI Agents Revolutionizing HealthcareDroidal LLC
Droidal’s AI Agents are transforming healthcare by bringing intelligence, speed, and efficiency to key areas such as Revenue Cycle Management (RCM), clinical operations, and patient engagement. Built specifically for the needs of U.S. hospitals and clinics, Droidal's solutions are designed to improve outcomes and reduce administrative burden.
Through simple visuals and clear examples, the presentation explains how AI Agents can support medical coding, streamline claims processing, manage denials, ensure compliance, and enhance communication between providers and patients. By integrating seamlessly with existing systems, these agents act as digital coworkers that deliver faster reimbursements, reduce errors, and enable teams to focus more on patient care.
Droidal's AI technology is more than just automation — it's a shift toward intelligent healthcare operations that are scalable, secure, and cost-effective. The presentation also offers insights into future developments in AI-driven healthcare, including how continuous learning and agent autonomy will redefine daily workflows.
Whether you're a healthcare administrator, a tech leader, or a provider looking for smarter solutions, this presentation offers a compelling overview of how Droidal’s AI Agents can help your organization achieve operational excellence and better patient outcomes.
A free demo trial is available for those interested in experiencing Droidal’s AI Agents firsthand. Our team will walk you through a live demo tailored to your specific workflows, helping you understand the immediate value and long-term impact of adopting AI in your healthcare environment.
To request a free trial or learn more:
https://droidal.com/
European Accessibility Act & Integrated Accessibility TestingJulia Undeutsch
Emma Dawson will guide you through two important topics in this session.
Firstly, she will prepare you for the European Accessibility Act (EAA), which comes into effect on 28 June 2025, and show you how development teams can prepare for it.
In the second part of the webinar, Emma Dawson will explore with you various integrated testing methods and tools that will help you improve accessibility during the development cycle, such as Linters, Storybook, Playwright, just to name a few.
Focus: European Accessibility Act, Integrated Testing tools and methods (e.g. Linters, Storybook, Playwright)
Target audience: Everyone, Developers, Testers
GDG Cloud Southlake #43: Tommy Todd: The Quantum Apocalypse: A Looming Threat...James Anderson
The Quantum Apocalypse: A Looming Threat & The Need for Post-Quantum Encryption
We explore the imminent risks posed by quantum computing to modern encryption standards and the urgent need for post-quantum cryptography (PQC).
Bio: With 30 years in cybersecurity, including as a CISO, Tommy is a strategic leader driving security transformation, risk management, and program maturity. He has led high-performing teams, shaped industry policies, and advised organizations on complex cyber, compliance, and data protection challenges.
Measuring Microsoft 365 Copilot and Gen AI SuccessNikki Chapple
Session | Measuring Microsoft 365 Copilot and Gen AI Success with Viva Insights and Purview
Presenter | Nikki Chapple 2 x MVP and Principal Cloud Architect at CloudWay
Event | European Collaboration Conference 2025
Format | In person Germany
Date | 28 May 2025
📊 Measuring Copilot and Gen AI Success with Viva Insights and Purview
Presented by Nikki Chapple – Microsoft 365 MVP & Principal Cloud Architect, CloudWay
How do you measure the success—and manage the risks—of Microsoft 365 Copilot and Generative AI (Gen AI)? In this ECS 2025 session, Microsoft MVP and Principal Cloud Architect Nikki Chapple explores how to go beyond basic usage metrics to gain full-spectrum visibility into AI adoption, business impact, user sentiment, and data security.
🎯 Key Topics Covered:
Microsoft 365 Copilot usage and adoption metrics
Viva Insights Copilot Analytics and Dashboard
Microsoft Purview Data Security Posture Management (DSPM) for AI
Measuring AI readiness, impact, and sentiment
Identifying and mitigating risks from third-party Gen AI tools
Shadow IT, oversharing, and compliance risks
Microsoft 365 Admin Center reports and Copilot Readiness
Power BI-based Copilot Business Impact Report (Preview)
📊 Why AI Measurement Matters: Without meaningful measurement, organizations risk operating in the dark—unable to prove ROI, identify friction points, or detect compliance violations. Nikki presents a unified framework combining quantitative metrics, qualitative insights, and risk monitoring to help organizations:
Prove ROI on AI investments
Drive responsible adoption
Protect sensitive data
Ensure compliance and governance
🔍 Tools and Reports Highlighted:
Microsoft 365 Admin Center: Copilot Overview, Usage, Readiness, Agents, Chat, and Adoption Score
Viva Insights Copilot Dashboard: Readiness, Adoption, Impact, Sentiment
Copilot Business Impact Report: Power BI integration for business outcome mapping
Microsoft Purview DSPM for AI: Discover and govern Copilot and third-party Gen AI usage
🔐 Security and Compliance Insights: Learn how to detect unsanctioned Gen AI tools like ChatGPT, Gemini, and Claude, track oversharing, and apply eDLP and Insider Risk Management (IRM) policies. Understand how to use Microsoft Purview—even without E5 Compliance—to monitor Copilot usage and protect sensitive data.
📈 Who Should Watch: This session is ideal for IT leaders, security professionals, compliance officers, and Microsoft 365 admins looking to:
Maximize the value of Microsoft Copilot
Build a secure, measurable AI strategy
Align AI usage with business goals and compliance requirements
🔗 Read the blog https://nikkichapple.com/measuring-copilot-gen-ai/
"AI in the browser: predicting user actions in real time with TensorflowJS", ...Fwdays
With AI becoming increasingly present in our everyday lives, the latest advancements in the field now make it easier than ever to integrate it into our software projects. In this session, we’ll explore how machine learning models can be embedded directly into front-end applications. We'll walk through practical examples, including running basic models such as linear regression and random forest classifiers, all within the browser environment.
Once we grasp the fundamentals of running ML models on the client side, we’ll dive into real-world use cases for web applications—ranging from real-time data classification and interpolation to object tracking in the browser. We'll also introduce a novel approach: dynamically optimizing web applications by predicting user behavior in real time using a machine learning model. This opens the door to smarter, more adaptive user experiences and can significantly improve both performance and engagement.
In addition to the technical insights, we’ll also touch on best practices, potential challenges, and the tools that make browser-based machine learning development more accessible. Whether you're a developer looking to experiment with ML or someone aiming to bring more intelligence into your web apps, this session will offer practical takeaways and inspiration for your next project.
2. Myths about XML
“Unicode with pointy brackets”
Too hard to parse
All data must be put inside CDATA blocks
Namespaces don't work
XSLT will never take off
What's wrong with using Perl data structures?
3. What is XML?
A syntax
− Simplified SGML, much easier to parse
A data structure
− tree-based, cross.platform
− industry standard tools
A technology family
− SAX, DOM, XPath, XSLT, XQuery
− XHTML, WML, RDF/XML, RSS/Atom, SOAP, ODF, ebXML
5. History of XML
Generalized Markup Language (GML)
− 1969: Invented by Goldfarb, Mosher and Lorie at IBM
− Over 90% of all IBM documents produced using GML
Simple Generalized Markup Language (SGML)
− 1980: First draft by ANSI
− 1986: ISO standard 8879
− Major users include US DoD, AAP
− 1988-96: DSSSL developed into ISO 10179
− 1991: O'Reilly and HaL Computer Systems design DocBook
− 1992: Tim Berners-Lee designs HTML
6. History of XML
Extensible Markup Language (XML)
− 1996: XML Working Group
− 1998: XML 1.0 W3C Recommendation
− 1998: DOM W3C Recommendation
− 1999: XSLT and XPath W3C Recommendations
− 2000: XHTML 1.0 W3C Recommendation
− 2001: XML Schema W3C Recommendation
− 2001: RELAX NG OASIS spec + part of ISO 19757
− 2006: XQuery W3C Recommendation Candidate
8. XML Syntax
Wellformed (legal) XML
− correctly nested opening and closing tags
<foo><bar><baz/></bar></foo>
− [&<>”] must be encoded as entities (or CDATA)
& < > "
− parsing non-wellformed documents must cause fatal error
Encoding
− ASCII, ISO-8859-1 or (default) UTF-8
− Always UTF-8 internally
10. Namespaces
Motivation
− To avoid tag name collisions
− To allow processor handlers in pipeline (e.g. XSLT)
Namespace determined by scope
− much like Perl
Namespace is empty string unless stated otherwise
− Common pitfall when using XPath
The prefix is irrelevant after parsing
− Only the tag name and namespace URI counts
12. Namespace prefixes
Or indeed
<stylesheet version="1.0"
xmlns="http://www.w3.org/1999/XSL/Transform">
<template match="/">
<html xmlns="http://www.w3.org/1999/xhtml">
<body>
<p>This page intentionally left blank.</p>
</body>
</html>
</template>
</stylesheet>
These are all exactly similar!
− Try transforming any XML document with them and load
into Firefox. Use .xhtml extension to force correct MIME
type (application/xhtml+xml).
14. Validation
DTD
− Legacy from SGML
− Does not follow XML syntax (but can be included inline)
− Does not understand namespaces
− Can define entities (unlike schemas)
XML Schema
− Schema used by W3C
RELAX NG
− Schema used by most others
− Both XML and simpler non-XML syntax
15. DTD/Schema generators
Very useful as a starting point
− DTD syntax is pretty arcane and hard to remember
Generate when needed
− may catch typos that will take a long time to debug
Online tools
− http://www.hitsw.com/xml_utilites/
21. Simple API for XML (SAX)
Stream-based parsing
Emphasis on simple
Suitable for large documents
Event handlers for each node (start, content, end)
No way to backtrack/lookahead
Namespace support from v.2 (SAX2)
22. Document Object Model (DOM)
Cross-platform API for processing XML tree
− Same in Perl, C, Java, Javascript et al
− Familiar to AJAX programmers
Set of standard methods
getElementById()
setAttribute()
createElement()
replaceChild()
DOM Level 2 adds namespace support
verbose compared to XPath and XSLT
23. XPath
Developed in conjuction with XSLT spec
Functional query language
/html/body/div[@class="sect"]/h1[count(followingsibling())>1]
One line XPath = 10 lines of Perl
26. XQuery
Similar to SQL, but for XML trees instead of tables
for $b in $books/book[price < 100]
order by $b/title
return $b
Not yet an official W3C Recommendation
Few tools support it yet
28. XML parser libraries
James Clark's expat
− C. Non-standard, stream-based API (but not SAX)
GNOME libxml
− C, with OO Perl bindings
Apache Xerces
− C++ (Also Java)
Platform specific
− .NET (MSXML), Apple Cocoa NSXML
Pure Perl
29. Parser features
expat libxml Xerces .NET NSXML
DTD validation N Y Y Y
XML Schema N Y Y Y?
RELAX NG N Y N ?
Namespaces ? Y Y
SAX2 N Y Y
DOM N Y Y
XPath 1.0 ? Y
XPath 2.0 N ? N N
XQuery N N Partly
gzip N Y
30. command line tools
xmlwf (expat)
− check for wellformedness
xml_pp (XML::Twig)
− code reformatter
xmllint (libxml)
− check/validate documents
format # code reformat/indent
compress # output gzip data
xinclude # process XIncludes
valid # validate before XInclude
postvalid # validate XIncluded document
shell # this is cool!
31. XML::Parser
Perl granddaddy of XML
Based on James Clark's expat
Non-standard API
Expects string input, returns string output
Not suitable for pipeline processing
33. XML::Twig
SAX-like interface on top of expat
Discards nodes after use, suitable for large files
my $twig=XML::Twig>new(
twig_handlers =>
{ title => sub { $_>set_tag( 'h2') }, # change title tags to h2
para => sub { $_>set_tag( 'p') }, # change para to p
hidden => sub { $_>delete; }, # remove hidden elements
list => &my_list_process, # process list elements
div => sub { $_[0]>flush; }, # output and free memory
},
pretty_print => 'indented', # output formatted
empty_tags => 'html', # outputs <empty_tag />
);
34. XML::LibXML
Implements SAX, DOM, XPath (but not XQuery)
Faster and more robust than anything else
Plugins for XUpdate
Mix and match DOM, XPath and XSLT on same tree
Works hand-in-hand with XML::LibXSLT and other
libxml-based modules
36. XML::XPath
More unwieldy than XML::LibXML
use XML::XPath;
use XML::XPath::XMLParser;
my $xp = XML::XPath>new(filename => 'test.xhtml');
my $nodeset = $xp>find('/html/body/div[@class="sect"]/h1');
foreach ($nodeset>get_nodelist) {
printf "%sn", XML::XPath::XMLParser::as_string($_);
}
xpath utility can be handy for debugging
$ xpath transitional.html '/html/head/title/text()'
Found 1 nodes:
NODE
Quick Example
$
37. XML::Xerces
Little or no Perl documentation
− See C++ API at Apache site
38. Pure Perl parsers
XML::SAX::PurePerl
− From author: “XML::SAX::PurePerl is slow. Very slow. I
suggest you use something else in fact.”
XML::Stream::Parser
− 50 % slower than XML::Parser
− Could be useful where installing libraries not possible
41. XML::Smart
Similar to XML::Simple
− each point in the tree work as a hash and an array at the
same time
Caveat
− Some users report encoding problems
43. XML::API
Uses XML Schema to generate methods
XHTML API available
use XML::API::XHTML;
my $x = new XML::API::XHTML();
$x>head_open();
$x>title('Test Page');
$x>head_close();
$x>body_open();
$x>div_open({id => 'content'});
$x>p('A test paragraph');
$x>div_close();
$x>body_close();
$x>_print;
46. XML::RSS
Parser/generator
Supports RSS 0.9, 0.91 and 1.0
XML::RSS::LibXML recommended
− easier to extend with own namespaces
− can be processed further with LibXSLT
47. XML::PYX
Use standard UNIX filters on XML
$ pyxhtml dirty.html | pyxw > clean.html
Can clean up “dirty” HTML
$ pyxhtml dirty.html | pyxw > clean.html
48. XML::XSH
Shell for working inside XML documents
− Similar to xmllint –shell
− Seems to have namespace parsing problems
Use pipes to add remote functionality
xsh> ls DOC:/ │ ssh my.remote.org ’cat > test.xml’
50. XSLT
XML::XSLT
− Perl. Alpha versjon; incomplete. Dead?
XML::LibXSLT
− C. Fast (twice as fast as Sablotron). xsltproc
XML::Sablotron
− C++
XML::Xalan
− Java? Commited to XSLT 2.0. Slower than Saxon
52. Why XHTML?
Faster parsing in browser and spiders
− Said to improve Google PageRank
Better suited for mobile devices
− smaller memory footprint
It's the future!
XHTML 2.0 brings cool stuff
− <section> and <h> for better structuring
− any tag can contain href and src
− XForms
53. XHTML requirements
Must be 100 % legal XML
− Browsers will croak if illegal
<img alt=”Bang & Olufsen 15" speakers”/>
Serve as application/xhtml+xml
− text/html is reserved for SGML
Use correct DTD and namespace
<!DOCTYPE html PUBLIC "//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
54. Template systems
Model-View-Controller (applied on web apps)
− Model = your data
− View = HTML markup
− Controller = everything else?
MVC is only relevant for GUI applications
− “Controllers contain the interface between their associated
models and views and the input devices (e.g., keyboard,
pointing device, time).”
http://c2.com/cgi/wiki?WhatsaControllerAnyway
56. Separating logic from presentation
Hardcoding HTML in Perl
print <<EOT
<p>$name<br/>$address</p>
EOT
Hardcoding Perl in HTML (Mason)
<ul>
% foreach $item (@list) {
<li><% $item %>
% }
</ul>
Both are equally bad
Neither handles entity encoding
57. Common template systems
Must encode entities automatically
Template Toolkit
− Template::Plugin::XML (hopefully)
− Template::Plugin::XML::LibXML (probably)
HTML::Mason
− Does not encode; has no grasp of XML
HTML::Template
− Ditto