The document discusses different techniques for implementing transitive persistence in Hibernate, where changes made to one object are propagated to associated objects. It describes persistence by reachability, where any object referenced from a persistent object becomes persistent. It also discusses using cascade options on associations and collection mappings to control how operations like save, update and delete are cascaded from parent objects to child objects. The document provides examples of how to define and apply filters to control which objects are retrieved by Hibernate queries and associations based on runtime parameters.
The document discusses different fetching strategies in Hibernate such as lazy loading, eager loading, and prefetching. It explains that by default Hibernate uses lazy loading for entities and collections. It describes how to configure different fetching strategies using XML mappings including eager fetching with joins, batch fetching, and prefetching collections with subselects to reduce the number of queries.
The document discusses object state transitions and Session methods in Hibernate. It describes the states an object can be in (transient, persistent, detached) and how Session methods like save(), update(), delete() transition objects between these states. It also discusses the persistence context and how Hibernate uses it to cache objects and implement automatic dirty checking and transactional write-behind.
The document discusses different caching scopes in Hibernate - transaction scope, process scope, and cluster scope caches. It describes Hibernate's two-level cache architecture with the first-level cache at the session level and the second-level cache at the process or cluster level. It covers configuring the second-level cache provider, cache usage strategies, caching associations and collections, and caching query results in Hibernate.
This document provides an introduction to Hibernate and demonstrates how to perform basic CRUD (create, read, update, delete) operations using Hibernate. It shows how to define a persistent Message class and mapping, save a message to the database, retrieve all messages, and update a message. It also discusses Hibernate configuration options like using hibernate.properties vs hibernate.cfg.xml, and how Hibernate can be used in both managed and non-managed environments.
The document discusses different strategies for managing Hibernate sessions and persistence contexts across user requests and conversations. It describes the session-per-request strategy where the persistence context scope matches the database transaction. It also covers extending the session for the duration of a user conversation using managed sessions or detaching and reattaching objects. Optimistic locking is used to guarantee isolation across steps in a conversation.
Spring, now part of Pivotal, continues to innovate and support next generation workloads. In this talk, I introduce some of the exciting new Spring technologies supporting websockets, Java 8, Java EE 7, data ingestion and stream processing, NoSQL and Hadoop, and production-ready REST, _and_ I introduce tools designed to expedite ramp-up time for teams who want to deliver, quickly.
Hibernate supports mapping objects to relational databases while allowing developers to work with objects rather than tables and rows. This document discusses several Hibernate mapping features including: mapping fine-grained domain models with multiple classes representing a single database table, mapping value types and entities, mapping collections including sets, lists, bags and maps, and configuring options for collections like sorting and ordering.
The document discusses different fetching strategies in Hibernate such as lazy loading, eager loading, and prefetching. It explains that by default Hibernate uses lazy loading for entities and collections. It describes how to configure different fetching strategies using XML mappings including eager fetching with joins, batch fetching, and prefetching collections with subselects to reduce the number of queries.
The document discusses object state transitions and Session methods in Hibernate. It describes the states an object can be in (transient, persistent, detached) and how Session methods like save(), update(), delete() transition objects between these states. It also discusses the persistence context and how Hibernate uses it to cache objects and implement automatic dirty checking and transactional write-behind.
The document discusses different caching scopes in Hibernate - transaction scope, process scope, and cluster scope caches. It describes Hibernate's two-level cache architecture with the first-level cache at the session level and the second-level cache at the process or cluster level. It covers configuring the second-level cache provider, cache usage strategies, caching associations and collections, and caching query results in Hibernate.
This document provides an introduction to Hibernate and demonstrates how to perform basic CRUD (create, read, update, delete) operations using Hibernate. It shows how to define a persistent Message class and mapping, save a message to the database, retrieve all messages, and update a message. It also discusses Hibernate configuration options like using hibernate.properties vs hibernate.cfg.xml, and how Hibernate can be used in both managed and non-managed environments.
The document discusses different strategies for managing Hibernate sessions and persistence contexts across user requests and conversations. It describes the session-per-request strategy where the persistence context scope matches the database transaction. It also covers extending the session for the duration of a user conversation using managed sessions or detaching and reattaching objects. Optimistic locking is used to guarantee isolation across steps in a conversation.
Spring, now part of Pivotal, continues to innovate and support next generation workloads. In this talk, I introduce some of the exciting new Spring technologies supporting websockets, Java 8, Java EE 7, data ingestion and stream processing, NoSQL and Hadoop, and production-ready REST, _and_ I introduce tools designed to expedite ramp-up time for teams who want to deliver, quickly.
Hibernate supports mapping objects to relational databases while allowing developers to work with objects rather than tables and rows. This document discusses several Hibernate mapping features including: mapping fine-grained domain models with multiple classes representing a single database table, mapping value types and entities, mapping collections including sets, lists, bags and maps, and configuring options for collections like sorting and ordering.
The document discusses querying data with Hibernate. It describes the steps involved which include creating the query, binding parameters, and executing it. It provides examples of using named parameters and positional parameters. It also covers iterating through results, scrolling result sets, defining named queries, and basic query clauses for selection and restriction.
The document summarizes some of the new features introduced in Java 7. It discusses binary literals, underscores in numeric literals, strings in switch statements, automatic resource management using try-with-resources, multi-catch exceptions, more precise rethrowing of exceptions, diamond operator for generic types, varargs warnings and suppression, Java NIO.2 features for file navigation, directories, symbolic links, and walking file trees. The document provides examples and explanations of how to use these new Java 7 language features.
The document discusses the persistence layer in applications and different approaches to object-relational mapping. It describes domain modeling which involves analyzing the problem domain to identify relevant entities. The domain model provides a conceptual view of these entities and their relationships. Frameworks like Hibernate can then provide transparent and automated persistence for the domain model classes without leaking implementation concerns into the model.
The document discusses various ways to improve performance with Hibernate including: batch processing large datasets; using identifier properties on persistent classes; placing each class mapping in its own file; considering externalizing query strings; using bind variables; understanding session flushing; using saveOrUpdate() in a multi-tier architecture; and using session disconnection in a two-tier architecture. It provides code examples for batch inserts, updates, and scrollable results to process data in batches.
Hibernate is an object-relational mapping tool that allows Java objects to be mapped to database tables, which handles common data persistence tasks like data retrieval and storage without requiring manual SQL or result set handling. It aims to reduce 95% of common data persistence problems by providing object/relational mapping, query capabilities, database independence, and other features while keeping applications portable across databases. Some disadvantages are a steep learning curve and increased complexity compared to simple data storage applications that require only basic JDBC functionality.
The document discusses four approaches to representing object inheritance in a relational database: table per concrete class with implicit polymorphism, table per concrete class, table per class hierarchy, and table per subclass. It explains the advantages and disadvantages of each approach, noting that table per class hierarchy has the best performance for polymorphic queries but can lose data integrity, while table per subclass best maintains normalization but requires more joins. The best strategy depends on an application's polymorphic query and association needs versus data integrity and performance factors.
The document discusses different ways to configure and use Arquillian for integration testing Java EE applications. It covers creating test archives, configuring Arquillian, and different approaches for setting up test data like using SQL scripts, manually creating data, or importing from JSON/XML files. The key points are creating test archives with Maven or ShrinkWrap, configuring the Arquillian XML file and Maven dependencies, and using annotations to apply SQL scripts or import test data sets before tests run.
This document provides an overview of using Hibernate, an open source Java object-relational mapping tool. It discusses typical problems with JDBC code, how Hibernate addresses these issues, and provides sample code for mapping Java objects to database tables and performing queries and transactions with Hibernate. The document also outlines steps for a basic Hibernate tutorial, including database design, mapping classes, configuration, and data access objects.
OSGi & Java EE in GlassFish - Best of both worldsArun Gupta
This document discusses integrating OSGi and Java EE technologies in Oracle's GlassFish application server. It provides an overview of OSGi and how GlassFish leverages OSGi's modular architecture by implementing all of its core components and modules as OSGi bundles. The benefits of using OSGi in GlassFish include improved modularity, flexibility to customize the application server, lazy loading of bundles based on usage, and support for additional JVM technologies through OSGi bundles.
This document provides an overview of using Arquillian to test Java EE applications. It discusses creating test archives using ShrinkWrap or Maven, configuring Arquillian to run in managed or embedded mode, and including persistence functionality to generate test data from SQL scripts, XML/JSON, or manually in test code. The document contains code samples and dependencies needed to set up an Arquillian test.
Hibernate is an object-relational mapping tool for Java that allows developers to persist Java objects to a relational database in a transparent way. It provides transparent persistence without needing to flatten objects or write database specific code. Hibernate uses an object-oriented query language that closely resembles SQL to retrieve and manipulate persisted objects.
Contexts and Dependency Injection for the JavaEE platformBozhidar Bozhanov
This document provides an overview of Contexts and Dependency Injection (CDI), the Java EE standard for dependency injection and component management defined in JSR-299. It discusses the history and goals of CDI, key concepts like beans and injection, and how CDI integrates with and improves upon other Java EE technologies like EJBs and JSF. The document also demonstrates several CDI features through code examples, such as qualifiers, producers, decorators, and interceptors.
Why Doesn't Java Has Instant Turnaround - Con-FESS 2012Anton Arhipov
This document discusses why Java does not have instant code reloading capabilities out of the box. It describes how the typical development cycle requires building, deploying, and waiting for changes to take effect. It then explores some of the challenges around reloading classes at runtime, such as handling externalized and derivative state. The document introduces JRebel as a solution that can hotswap code changes without redeploys by leveraging different classloaders and configuration to reconnect objects to the new code.
The document provides an introduction to Hibernate and demonstrates a basic "Hello World" example using Hibernate. It shows how to define a persistent class, save and retrieve data from the database using Hibernate, and configure Hibernate via properties files or XML. Key aspects of the Hibernate architecture like the SessionFactory, Session, and Transactions are also explained at a high level.
EJB 3.0 introduced a simplified programming model for enterprise Java with plain old Java objects (POJOs), dependency injection, and metadata-driven configuration. The new features include support for POJO session beans with simplified lifecycles, the Java Persistence API (JPA) for object-relational mapping, and the ability to define interceptors for cross-cutting concerns.
OSGi & Java EE in GlassFish @ Silicon Valley Code Camp 2010Arun Gupta
The document discusses integrating OSGi and Java EE technologies in GlassFish. It provides an overview of OSGi and how GlassFish leverages OSGi for modularity. Key points include:
- GlassFish runs on top of OSGi and all GlassFish modules are OSGi bundles. This provides improved modularity over traditional Java EE servers.
- OSGi enables features like dynamic installation/uninstallation of bundles without restarting the server. It also allows multiple versions of modules to coexist.
- The document discusses how various Java EE technologies like EJB, JPA, JAX-WS can be integrated with OSGi. This allows OSGi bundles to leverage Java EE services.
- GlassFish
CLASSINDEX - SZYBKA ALTERNATYWA DLA SKANOWANIA KLAS
W Javie częstym problemem jest potrzeba znalezienia klas oznaczonych daną adnotacją. Choć oficjalnie Java nie wspiera takiej funkcjonalności, de facto standardowym rozwiązaniem tego problemu jest skanowanie klas. W tej prezentacji chciałbym przedstawić dużo szybszą alternatywę - autorski projekt oparty na mechanizmach procesowania adnotacji.
Arquillian is an innovative and highly extensible testing platform for the JVM that enables developers to easily create automated integration, functional and acceptance tests for Java middleware, from Java EE and beyond.
For years we’ve been exploring how to layer and separate our code to test in isolation on the unit level. We’ve kept integration and functional testing as a big ball of mud; jumping straight from unit to full system testing. But can we apply some of the same lessons learned from unit to integration testing?
Speaker Bio:
Arquillian project lead, Aslak Knutsen, is a Senior Software Engineer at Red Hat where he is working on projects such as Arquillian and ShrinkWrap, one of the founders of the JBoss Testing initiative and a speaker at major industry conferences including JavaOne, Devoxx, Jazoon, JFokus, Geecon, JUDCon and JBoss World.
The document discusses various JPA annotations used for mapping entities and relationships to database tables. It explains how to map primary keys, embeddable classes, inheritance, and one-to-one, one-to-many, and many-to-many relationships. Key points covered include using @Id, @EmbeddedId, @JoinColumn, @PrimaryKeyJoinColumn, @ManyToMany, and inheritance mapping strategies like single table, joined tables, and table per class. Code examples are provided to illustrate how to configure different types of mappings between Java entities and database tables.
JPA is a specification for data persistence with Java applications. Hibernate is an implementation of this specification. The JPA specification defines two important principles - that JPA engines should be pluggable and able to run outside of an EJB container. Hibernate Core is the foundational module that other Hibernate modules like Hibernate Annotations and Hibernate EntityManager are built upon. It provides the base persistence services using its native API or XML mappings and includes features like the HQL query language.
The document discusses querying data with Hibernate. It describes the steps involved which include creating the query, binding parameters, and executing it. It provides examples of using named parameters and positional parameters. It also covers iterating through results, scrolling result sets, defining named queries, and basic query clauses for selection and restriction.
The document summarizes some of the new features introduced in Java 7. It discusses binary literals, underscores in numeric literals, strings in switch statements, automatic resource management using try-with-resources, multi-catch exceptions, more precise rethrowing of exceptions, diamond operator for generic types, varargs warnings and suppression, Java NIO.2 features for file navigation, directories, symbolic links, and walking file trees. The document provides examples and explanations of how to use these new Java 7 language features.
The document discusses the persistence layer in applications and different approaches to object-relational mapping. It describes domain modeling which involves analyzing the problem domain to identify relevant entities. The domain model provides a conceptual view of these entities and their relationships. Frameworks like Hibernate can then provide transparent and automated persistence for the domain model classes without leaking implementation concerns into the model.
The document discusses various ways to improve performance with Hibernate including: batch processing large datasets; using identifier properties on persistent classes; placing each class mapping in its own file; considering externalizing query strings; using bind variables; understanding session flushing; using saveOrUpdate() in a multi-tier architecture; and using session disconnection in a two-tier architecture. It provides code examples for batch inserts, updates, and scrollable results to process data in batches.
Hibernate is an object-relational mapping tool that allows Java objects to be mapped to database tables, which handles common data persistence tasks like data retrieval and storage without requiring manual SQL or result set handling. It aims to reduce 95% of common data persistence problems by providing object/relational mapping, query capabilities, database independence, and other features while keeping applications portable across databases. Some disadvantages are a steep learning curve and increased complexity compared to simple data storage applications that require only basic JDBC functionality.
The document discusses four approaches to representing object inheritance in a relational database: table per concrete class with implicit polymorphism, table per concrete class, table per class hierarchy, and table per subclass. It explains the advantages and disadvantages of each approach, noting that table per class hierarchy has the best performance for polymorphic queries but can lose data integrity, while table per subclass best maintains normalization but requires more joins. The best strategy depends on an application's polymorphic query and association needs versus data integrity and performance factors.
The document discusses different ways to configure and use Arquillian for integration testing Java EE applications. It covers creating test archives, configuring Arquillian, and different approaches for setting up test data like using SQL scripts, manually creating data, or importing from JSON/XML files. The key points are creating test archives with Maven or ShrinkWrap, configuring the Arquillian XML file and Maven dependencies, and using annotations to apply SQL scripts or import test data sets before tests run.
This document provides an overview of using Hibernate, an open source Java object-relational mapping tool. It discusses typical problems with JDBC code, how Hibernate addresses these issues, and provides sample code for mapping Java objects to database tables and performing queries and transactions with Hibernate. The document also outlines steps for a basic Hibernate tutorial, including database design, mapping classes, configuration, and data access objects.
OSGi & Java EE in GlassFish - Best of both worldsArun Gupta
This document discusses integrating OSGi and Java EE technologies in Oracle's GlassFish application server. It provides an overview of OSGi and how GlassFish leverages OSGi's modular architecture by implementing all of its core components and modules as OSGi bundles. The benefits of using OSGi in GlassFish include improved modularity, flexibility to customize the application server, lazy loading of bundles based on usage, and support for additional JVM technologies through OSGi bundles.
This document provides an overview of using Arquillian to test Java EE applications. It discusses creating test archives using ShrinkWrap or Maven, configuring Arquillian to run in managed or embedded mode, and including persistence functionality to generate test data from SQL scripts, XML/JSON, or manually in test code. The document contains code samples and dependencies needed to set up an Arquillian test.
Hibernate is an object-relational mapping tool for Java that allows developers to persist Java objects to a relational database in a transparent way. It provides transparent persistence without needing to flatten objects or write database specific code. Hibernate uses an object-oriented query language that closely resembles SQL to retrieve and manipulate persisted objects.
Contexts and Dependency Injection for the JavaEE platformBozhidar Bozhanov
This document provides an overview of Contexts and Dependency Injection (CDI), the Java EE standard for dependency injection and component management defined in JSR-299. It discusses the history and goals of CDI, key concepts like beans and injection, and how CDI integrates with and improves upon other Java EE technologies like EJBs and JSF. The document also demonstrates several CDI features through code examples, such as qualifiers, producers, decorators, and interceptors.
Why Doesn't Java Has Instant Turnaround - Con-FESS 2012Anton Arhipov
This document discusses why Java does not have instant code reloading capabilities out of the box. It describes how the typical development cycle requires building, deploying, and waiting for changes to take effect. It then explores some of the challenges around reloading classes at runtime, such as handling externalized and derivative state. The document introduces JRebel as a solution that can hotswap code changes without redeploys by leveraging different classloaders and configuration to reconnect objects to the new code.
The document provides an introduction to Hibernate and demonstrates a basic "Hello World" example using Hibernate. It shows how to define a persistent class, save and retrieve data from the database using Hibernate, and configure Hibernate via properties files or XML. Key aspects of the Hibernate architecture like the SessionFactory, Session, and Transactions are also explained at a high level.
EJB 3.0 introduced a simplified programming model for enterprise Java with plain old Java objects (POJOs), dependency injection, and metadata-driven configuration. The new features include support for POJO session beans with simplified lifecycles, the Java Persistence API (JPA) for object-relational mapping, and the ability to define interceptors for cross-cutting concerns.
OSGi & Java EE in GlassFish @ Silicon Valley Code Camp 2010Arun Gupta
The document discusses integrating OSGi and Java EE technologies in GlassFish. It provides an overview of OSGi and how GlassFish leverages OSGi for modularity. Key points include:
- GlassFish runs on top of OSGi and all GlassFish modules are OSGi bundles. This provides improved modularity over traditional Java EE servers.
- OSGi enables features like dynamic installation/uninstallation of bundles without restarting the server. It also allows multiple versions of modules to coexist.
- The document discusses how various Java EE technologies like EJB, JPA, JAX-WS can be integrated with OSGi. This allows OSGi bundles to leverage Java EE services.
- GlassFish
CLASSINDEX - SZYBKA ALTERNATYWA DLA SKANOWANIA KLAS
W Javie częstym problemem jest potrzeba znalezienia klas oznaczonych daną adnotacją. Choć oficjalnie Java nie wspiera takiej funkcjonalności, de facto standardowym rozwiązaniem tego problemu jest skanowanie klas. W tej prezentacji chciałbym przedstawić dużo szybszą alternatywę - autorski projekt oparty na mechanizmach procesowania adnotacji.
Arquillian is an innovative and highly extensible testing platform for the JVM that enables developers to easily create automated integration, functional and acceptance tests for Java middleware, from Java EE and beyond.
For years we’ve been exploring how to layer and separate our code to test in isolation on the unit level. We’ve kept integration and functional testing as a big ball of mud; jumping straight from unit to full system testing. But can we apply some of the same lessons learned from unit to integration testing?
Speaker Bio:
Arquillian project lead, Aslak Knutsen, is a Senior Software Engineer at Red Hat where he is working on projects such as Arquillian and ShrinkWrap, one of the founders of the JBoss Testing initiative and a speaker at major industry conferences including JavaOne, Devoxx, Jazoon, JFokus, Geecon, JUDCon and JBoss World.
Similar to 11 transitive persistence and filters (20)
The document discusses various JPA annotations used for mapping entities and relationships to database tables. It explains how to map primary keys, embeddable classes, inheritance, and one-to-one, one-to-many, and many-to-many relationships. Key points covered include using @Id, @EmbeddedId, @JoinColumn, @PrimaryKeyJoinColumn, @ManyToMany, and inheritance mapping strategies like single table, joined tables, and table per class. Code examples are provided to illustrate how to configure different types of mappings between Java entities and database tables.
JPA is a specification for data persistence with Java applications. Hibernate is an implementation of this specification. The JPA specification defines two important principles - that JPA engines should be pluggable and able to run outside of an EJB container. Hibernate Core is the foundational module that other Hibernate modules like Hibernate Annotations and Hibernate EntityManager are built upon. It provides the base persistence services using its native API or XML mappings and includes features like the HQL query language.
The document discusses the Criteria API for querying data in Hibernate. It describes features like restrictions, projections, grouping, match modes, and using detached criteria. When querying without an open session, a detached criteria can be instantiated and later attached to a session for execution by calling getExecutableCriteria() and passing the session.
The document discusses transactions and transaction management in Hibernate. It describes the ACID properties that transactions should satisfy, including being atomic, consistent, isolated, and durable. It explains how to demarcate transactions programmatically using the Hibernate Transaction interface or JTA UserTransaction interface. It also discusses contextual sessions in Hibernate and different implementations of the CurrentSessionContext interface for managing the current session scope. Finally, it provides information on configuring Hibernate to use JTA for managed transactions in an application server environment.
The document discusses transactions in professional open source software. It describes how transactions ensure all-or-nothing atomicity by committing or rolling back all operations together. The ACID properties of transactions - atomicity, consistency, isolation, and durability - are defined. Programmatic transaction demarcation using JDBC, JTA, and Hibernate interfaces is covered. Contextual sessions in Hibernate and configuration for different transaction contexts like JTA are also summarized.
This document discusses mapping entity associations in Hibernate. It covers bidirectional one-to-many mappings using <many-to-one> and <set> elements, making one side inverse, and adding cascade options. Using a <bag> instead of <set> for the collection side can improve performance for large collections in a one-to-many association. Transitive persistence is enabled by adding cascade options, avoiding extra save operations when child entities are persisted through a parent entity.
The document discusses the query API in JPA, including defining named queries, creating query instances, setting query parameters, retrieving results, pagination, query hints, and an introduction to JPQL. Key points covered include the different types of queries that can be created, how JPQL differs from SQL, supported conditional expressions and operators, and how to perform joins, filtering, ordering, and other operations in a JPQL query.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.