Entity Framework, Code First, Database First, TPH, TPT, TPC. Table Per Type, Table Per Hierarchy, Table Per Concrete Class, EF Concurrency, EF Relationship, Code First Conventions
This document provides an overview of ADO.NET Entity Framework (EF), which is an object-relational mapping (ORM) framework that allows .NET developers to work with relational data using domain-specific objects. It discusses key EF concepts like the entity data model, architecture, features, and lifecycle. The document explains that EF maps database tables and relationships to .NET classes and allows LINQ queries over object collections to retrieve and manipulate data, hiding SQL complexity. It also covers the ObjectContext class that manages database connections and entities.
Microsoft Entity Framework is an object-relational mapper that bridges the gap between object-oriented programming languages and relational databases. The presentation introduced Entity Framework, discussed its architecture including the conceptual data model and entity data model, and demonstrated CRUD operations and other core functionality. It also provided an overview of Entity Framework's history and versions.
Entity Framework: Code First and Magic UnicornsRichie Rump
Entity Framework is an object-relational mapping framework that allows developers to work with relational data using domain-specific objects. It includes features like code first modeling, migrations, data annotations, and the DbContext API. Newer versions have added additional functionality like support for enums, performance improvements, and spatial data types. Resources for learning more include blogs by Julie Lerman and Rowan Miller as well as StackOverflow and PluralSight videos.
This document provides an overview and agenda for Entity Framework (EF). It discusses key EF concepts like ORM, EF modeling using code first, database first, and model first approaches. It also covers EF features like LINQ, inheritance strategies, relationships, concurrency, and CRUD operations. Hands-on examples are provided for many topics.
The document provides an overview of Entity Framework and Code First approach. It discusses the key features of Entity Framework including object-relational mapping, support for various databases, and using LINQ queries. It also covers the advantages of Entity Framework like productivity, maintainability and performance. Furthermore, it explains the different domain modeling approaches in Entity Framework - Model First, Database First and Code First along with code examples.
Entity Framework Database and Code FirstJames Johnson
James Johnson is the founder and president of the Inland Empire .NET User's Group. He is a three time Microsoft MVP in CAD and works as a software developer during the day and runs side projects at night. He gave a presentation on Entity Framework and code first development where he demonstrated how to scaffold controllers and views from classes to generate a basic web application with CRUD functionality and database access.
This document discusses the evolution of data access from 1990 to 2010, focusing on object-relational mapping (ORM) techniques. It provides an overview of ORM as an abstraction technique for working with relational data as objects. The document outlines several ORM options available for .NET developers and describes Microsoft's strategic ORM technologies - LINQ to SQL and the ADO.NET Entity Framework. It provides details on Entity Framework's Entity Data Model and how to consume an EDM to query and manage data.
This document provides an overview of Entity Framework, including:
1. The EF architecture with the Entity Data Model (EDM) linking the conceptual, storage, and mapping models.
2. Development approaches like database first, model first, and code first.
3. LINQ to Entities and Entity SQL for querying objects, and object services for CRUD operations.
4. The new DbContext API in EF 4.1 which provides a more productive surface than the ObjectContext API.
This document provides an overview of ADO.NET Entity Framework (EF), which is an object-relational mapping (ORM) framework that allows .NET developers to work with relational data using domain-specific objects. It discusses key EF concepts like the entity data model, architecture, features, and lifecycle. The document explains that EF maps database tables and relationships to .NET classes and allows LINQ queries over object collections to retrieve and manipulate data, hiding SQL complexity. It also covers the ObjectContext class that manages database connections and entities.
Microsoft Entity Framework is an object-relational mapper that bridges the gap between object-oriented programming languages and relational databases. The presentation introduced Entity Framework, discussed its architecture including the conceptual data model and entity data model, and demonstrated CRUD operations and other core functionality. It also provided an overview of Entity Framework's history and versions.
Entity Framework: Code First and Magic UnicornsRichie Rump
Entity Framework is an object-relational mapping framework that allows developers to work with relational data using domain-specific objects. It includes features like code first modeling, migrations, data annotations, and the DbContext API. Newer versions have added additional functionality like support for enums, performance improvements, and spatial data types. Resources for learning more include blogs by Julie Lerman and Rowan Miller as well as StackOverflow and PluralSight videos.
This document provides an overview and agenda for Entity Framework (EF). It discusses key EF concepts like ORM, EF modeling using code first, database first, and model first approaches. It also covers EF features like LINQ, inheritance strategies, relationships, concurrency, and CRUD operations. Hands-on examples are provided for many topics.
The document provides an overview of Entity Framework and Code First approach. It discusses the key features of Entity Framework including object-relational mapping, support for various databases, and using LINQ queries. It also covers the advantages of Entity Framework like productivity, maintainability and performance. Furthermore, it explains the different domain modeling approaches in Entity Framework - Model First, Database First and Code First along with code examples.
Entity Framework Database and Code FirstJames Johnson
James Johnson is the founder and president of the Inland Empire .NET User's Group. He is a three time Microsoft MVP in CAD and works as a software developer during the day and runs side projects at night. He gave a presentation on Entity Framework and code first development where he demonstrated how to scaffold controllers and views from classes to generate a basic web application with CRUD functionality and database access.
This document discusses the evolution of data access from 1990 to 2010, focusing on object-relational mapping (ORM) techniques. It provides an overview of ORM as an abstraction technique for working with relational data as objects. The document outlines several ORM options available for .NET developers and describes Microsoft's strategic ORM technologies - LINQ to SQL and the ADO.NET Entity Framework. It provides details on Entity Framework's Entity Data Model and how to consume an EDM to query and manage data.
This document provides an overview of Entity Framework, including:
1. The EF architecture with the Entity Data Model (EDM) linking the conceptual, storage, and mapping models.
2. Development approaches like database first, model first, and code first.
3. LINQ to Entities and Entity SQL for querying objects, and object services for CRUD operations.
4. The new DbContext API in EF 4.1 which provides a more productive surface than the ObjectContext API.
This is an introduction session about Microsoft Entity Framework 4.0 (year 2011), since then the technology has evolved and matured in many ways and some of the limitations had been mitigated.
This document provides an overview of Entity Framework Code First, including its basic workflow, database initialization strategies, configuring domain classes using data annotations and fluent API, modeling relationships like one-to-one, one-to-many and many-to-many, and performing migrations using automated and code-based approaches. Code First allows writing classes first and generating the database, starting from EF 4.1, and supports domain-driven design principles.
Learn Entity Framework in a day with Code First, Model First and Database FirstJibran Rasheed Khan
Learn Entity Framework in a day with Code First, Model First and Database First
•Introduction to Entity Framework (EF)
•Architecture
•What’s new!
•Different approaches to work with (Code first, Database first and model first)
•Choosing right work model
•Pictorial Tour to each model
•Features & Advantages
•Question & Answer
for any help and understanding feel free to contact
thank you
The document provides an overview of Entity Framework 4.0. It discusses the history of data access frameworks leading up to EF4, key features of EF4 like the Entity Data Model (EDM), and patterns for developing with EF4 such as repositories, unit of work, and POCO objects. It also covers querying EF4 models using LINQ to Entities, testing with EF4 through interfaces like IObjectSet, and enabling lazy loading for related entities.
This document provides an overview of Entity Framework 4 and how to use it in different scenarios. It discusses Code First, Model First, and Database First approaches. For Code First, it demonstrates how to create data classes and contexts and add a connection string. For Model First, it shows how to create an entity data model, generate a database from the model, and use the model in an MVC project. It also discusses how to generate models from an existing database. Finally, it demonstrates integrating Entity Framework with an MVC 3 and Razor project, including adding controllers and views to display and edit data.
This document discusses best practices for using Entity Framework version 2. It provides an overview of Entity Framework concepts like the Entity Data Model (EDM), LINQ to Entities, and ObjectContext. It also covers new features in EF2 like support for foreign keys, testability enhancements, lazy loading, POCO objects, and code generation customization using T4 templates. The document demonstrates EF2 concepts and features through code examples and recommends resources for keeping up with the latest EF developments.
Learn about how object-relational mapping works to provide data access and understand what the Entity Framework is and how it can provide robust data access services to applications.
The document discusses the history and future of object-relational mapping (ORM) technologies for .NET applications. It provides an overview of Microsoft's ORM strategies over the years, including LINQ to SQL and the ADO.NET Entity Framework. The Entity Framework is now Microsoft's strategic ORM and supports many databases. The document outlines upcoming improvements to the Entity Framework in areas like modeling, queries, and consumption.
Hibernate is an object/relational mapping tool that maps objects to a relational database. The document provides an overview of key Hibernate concepts like the SessionFactory, Session, persistent and transient objects, and transactions. It also discusses Hibernate tools for mapping files, schema generation, code generation, and configuration via properties files. An example mapping of music tracks, artists, and comments is presented to demonstrate basic Hibernate functionality.
Building nTier Applications with Entity Framework ServicesDavid McCarter
Learn how to build real world nTier applications with the Entity Framework and related services. With this new technology built into .NET, you can easily wrap an object model around your database and have all the data access automatically generated or use your own stored procedures and views. Then learn how to easily and securely expose your object model using WCF with just a few line of code using ADO.NET Data Services. The session will demonstrate how to create and consume these new technologies from the ground up.
Core Data is Apple's framework for managing and persisting data in iOS and macOS applications. It provides objects for managing data models (NSManagedObjectModel), object contexts (NSManagedObjectContext), and connections to persistent stores like SQLite (NSPersistentStoreCoordinator, NSPersistentStore). Core Data graphs and saves managed objects, handling all the complexities of object relationships and concurrency. Developers can customize data storage through entities, attributes, relationships in the data model and by choosing XML, SQLite, binary, or in-memory storage formats.
LINQ (Language Integrated Query) allows querying of data from various sources like objects, XML, SQL databases using a consistent SQL-like syntax. It provides a standardized model for querying different data types and improves performance over traditional methods. The document provides examples of LINQ to Objects, LINQ to XML and LINQ to SQL queries and promises a demo of LINQ to SQL. It concludes by listing references for further reading on LINQ.
Igor Anishchenko
Odessa Java TechTalks
Lohika - September, 2012
This session starts with a high-level look at all that the Spring Data project has to offer.
Then we’ll dive deeper into a few select Spring Data modules, including Spring Data JPA, Spring Data MongoDB and Spring Data Redis.
Implementing a data access layer of an application has been cumbersome for quite a while. Too much boilerplate code had to be written!
Spring Data is a project that makes it easier to build Spring-powered applications that use new data, offering a reasonably consistent programming model regardless of which type of database you choose.
In addition to supporting the new “NoSQL” databases such as document and graph databases, Spring Data also greatly simplifies working with RDBMS-oriented datastores using JPA -simplifies the development of creating a JPA-based data access layer.
Building nTier Applications with Entity Framework Services (Part 1)David McCarter
Learn how to build real world nTier applications with the new Entity Framework and related services. With this new technology built into .NET, you can easily wrap an object model around your database and have all the data access automatically generated or use your own stored procedures and views. The session will demonstrate how to create and consume these new technologies from the ground up and focus on database modeling including views and stored procedures along with coding against the model via LINQ. Dynamic data website will also be demonstrated.
Hibernate is an object-relational mapping tool that allows developers to more easily write applications that interact with relational databases. It does this by allowing developers to map Java classes to database tables and columns, so that developers can interact with data through Java objects rather than directly with SQL statements. Hibernate handles the conversion between Java objects and database rows behind the scenes. Some key benefits of using Hibernate include faster data retrieval, avoiding manual database connection management, and easier handling of database schema changes.
The document discusses Spring, a popular Java application framework. It provides definitions and explanations of key Spring concepts like frameworks, dependency injection, and the Spring application context. It describes the modular architecture of Spring, including core modules for aspects like data access, web, and AOP. It also compares Spring to Hibernate, explaining that Spring is a framework that helps follow MVC architecture while Hibernate provides object-relational mapping.
This document discusses business logic layers and object-oriented design patterns. It begins by explaining what a business logic layer is and provides examples of services, entities, and rules/calculations. It then covers different patterns for structuring business logic, including procedure pattern, table module pattern, and object-based patterns like active record and domain model. Key differences between the patterns are explained. The remainder of the document dives deeper into object-oriented design patterns, categorizing them as creational, structural, and behavioral patterns. Examples are provided for factory, singleton, decorator, proxy, adapter, facade, strategy, and chain of responsibility patterns. Polymorphism and its importance to design patterns is also discussed.
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.
SQL Server Deployments made easy with DACPACSanil Mhatre
The document discusses deploying SQL Server databases using DACPACs. It begins with an introduction to SQL Server Data Tools and legacy deployment scripts. It then defines what a DACPAC is, the benefits it provides including being portable, tamper resistant, and enabling scriptless deployments. It describes how to use the SQLPackage tool to extract, export, register and deploy DACPACs to both physical and Azure SQL databases. It concludes with demonstrations of deploying DACPACs and references for further information.
Entity Framework - Entity Data Model (edm)Eyal Vardi
The document discusses the Entity Framework and Entity Data Model (EDM). It provides the following key points:
1. The EDM decouples the application from the underlying data store by mapping the conceptual model to the storage model.
2. There are three main approaches to development with EF - database first, model first, and code first. Code first allows defining classes and properties that map to database tables and columns.
3. The Fluent API and data annotations allow further configuration of entity mappings, relationships, and validation when using code first development.
This is an introduction session about Microsoft Entity Framework 4.0 (year 2011), since then the technology has evolved and matured in many ways and some of the limitations had been mitigated.
This document provides an overview of Entity Framework Code First, including its basic workflow, database initialization strategies, configuring domain classes using data annotations and fluent API, modeling relationships like one-to-one, one-to-many and many-to-many, and performing migrations using automated and code-based approaches. Code First allows writing classes first and generating the database, starting from EF 4.1, and supports domain-driven design principles.
Learn Entity Framework in a day with Code First, Model First and Database FirstJibran Rasheed Khan
Learn Entity Framework in a day with Code First, Model First and Database First
•Introduction to Entity Framework (EF)
•Architecture
•What’s new!
•Different approaches to work with (Code first, Database first and model first)
•Choosing right work model
•Pictorial Tour to each model
•Features & Advantages
•Question & Answer
for any help and understanding feel free to contact
thank you
The document provides an overview of Entity Framework 4.0. It discusses the history of data access frameworks leading up to EF4, key features of EF4 like the Entity Data Model (EDM), and patterns for developing with EF4 such as repositories, unit of work, and POCO objects. It also covers querying EF4 models using LINQ to Entities, testing with EF4 through interfaces like IObjectSet, and enabling lazy loading for related entities.
This document provides an overview of Entity Framework 4 and how to use it in different scenarios. It discusses Code First, Model First, and Database First approaches. For Code First, it demonstrates how to create data classes and contexts and add a connection string. For Model First, it shows how to create an entity data model, generate a database from the model, and use the model in an MVC project. It also discusses how to generate models from an existing database. Finally, it demonstrates integrating Entity Framework with an MVC 3 and Razor project, including adding controllers and views to display and edit data.
This document discusses best practices for using Entity Framework version 2. It provides an overview of Entity Framework concepts like the Entity Data Model (EDM), LINQ to Entities, and ObjectContext. It also covers new features in EF2 like support for foreign keys, testability enhancements, lazy loading, POCO objects, and code generation customization using T4 templates. The document demonstrates EF2 concepts and features through code examples and recommends resources for keeping up with the latest EF developments.
Learn about how object-relational mapping works to provide data access and understand what the Entity Framework is and how it can provide robust data access services to applications.
The document discusses the history and future of object-relational mapping (ORM) technologies for .NET applications. It provides an overview of Microsoft's ORM strategies over the years, including LINQ to SQL and the ADO.NET Entity Framework. The Entity Framework is now Microsoft's strategic ORM and supports many databases. The document outlines upcoming improvements to the Entity Framework in areas like modeling, queries, and consumption.
Hibernate is an object/relational mapping tool that maps objects to a relational database. The document provides an overview of key Hibernate concepts like the SessionFactory, Session, persistent and transient objects, and transactions. It also discusses Hibernate tools for mapping files, schema generation, code generation, and configuration via properties files. An example mapping of music tracks, artists, and comments is presented to demonstrate basic Hibernate functionality.
Building nTier Applications with Entity Framework ServicesDavid McCarter
Learn how to build real world nTier applications with the Entity Framework and related services. With this new technology built into .NET, you can easily wrap an object model around your database and have all the data access automatically generated or use your own stored procedures and views. Then learn how to easily and securely expose your object model using WCF with just a few line of code using ADO.NET Data Services. The session will demonstrate how to create and consume these new technologies from the ground up.
Core Data is Apple's framework for managing and persisting data in iOS and macOS applications. It provides objects for managing data models (NSManagedObjectModel), object contexts (NSManagedObjectContext), and connections to persistent stores like SQLite (NSPersistentStoreCoordinator, NSPersistentStore). Core Data graphs and saves managed objects, handling all the complexities of object relationships and concurrency. Developers can customize data storage through entities, attributes, relationships in the data model and by choosing XML, SQLite, binary, or in-memory storage formats.
LINQ (Language Integrated Query) allows querying of data from various sources like objects, XML, SQL databases using a consistent SQL-like syntax. It provides a standardized model for querying different data types and improves performance over traditional methods. The document provides examples of LINQ to Objects, LINQ to XML and LINQ to SQL queries and promises a demo of LINQ to SQL. It concludes by listing references for further reading on LINQ.
Igor Anishchenko
Odessa Java TechTalks
Lohika - September, 2012
This session starts with a high-level look at all that the Spring Data project has to offer.
Then we’ll dive deeper into a few select Spring Data modules, including Spring Data JPA, Spring Data MongoDB and Spring Data Redis.
Implementing a data access layer of an application has been cumbersome for quite a while. Too much boilerplate code had to be written!
Spring Data is a project that makes it easier to build Spring-powered applications that use new data, offering a reasonably consistent programming model regardless of which type of database you choose.
In addition to supporting the new “NoSQL” databases such as document and graph databases, Spring Data also greatly simplifies working with RDBMS-oriented datastores using JPA -simplifies the development of creating a JPA-based data access layer.
Building nTier Applications with Entity Framework Services (Part 1)David McCarter
Learn how to build real world nTier applications with the new Entity Framework and related services. With this new technology built into .NET, you can easily wrap an object model around your database and have all the data access automatically generated or use your own stored procedures and views. The session will demonstrate how to create and consume these new technologies from the ground up and focus on database modeling including views and stored procedures along with coding against the model via LINQ. Dynamic data website will also be demonstrated.
Hibernate is an object-relational mapping tool that allows developers to more easily write applications that interact with relational databases. It does this by allowing developers to map Java classes to database tables and columns, so that developers can interact with data through Java objects rather than directly with SQL statements. Hibernate handles the conversion between Java objects and database rows behind the scenes. Some key benefits of using Hibernate include faster data retrieval, avoiding manual database connection management, and easier handling of database schema changes.
The document discusses Spring, a popular Java application framework. It provides definitions and explanations of key Spring concepts like frameworks, dependency injection, and the Spring application context. It describes the modular architecture of Spring, including core modules for aspects like data access, web, and AOP. It also compares Spring to Hibernate, explaining that Spring is a framework that helps follow MVC architecture while Hibernate provides object-relational mapping.
This document discusses business logic layers and object-oriented design patterns. It begins by explaining what a business logic layer is and provides examples of services, entities, and rules/calculations. It then covers different patterns for structuring business logic, including procedure pattern, table module pattern, and object-based patterns like active record and domain model. Key differences between the patterns are explained. The remainder of the document dives deeper into object-oriented design patterns, categorizing them as creational, structural, and behavioral patterns. Examples are provided for factory, singleton, decorator, proxy, adapter, facade, strategy, and chain of responsibility patterns. Polymorphism and its importance to design patterns is also discussed.
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.
SQL Server Deployments made easy with DACPACSanil Mhatre
The document discusses deploying SQL Server databases using DACPACs. It begins with an introduction to SQL Server Data Tools and legacy deployment scripts. It then defines what a DACPAC is, the benefits it provides including being portable, tamper resistant, and enabling scriptless deployments. It describes how to use the SQLPackage tool to extract, export, register and deploy DACPACs to both physical and Azure SQL databases. It concludes with demonstrations of deploying DACPACs and references for further information.
Entity Framework - Entity Data Model (edm)Eyal Vardi
The document discusses the Entity Framework and Entity Data Model (EDM). It provides the following key points:
1. The EDM decouples the application from the underlying data store by mapping the conceptual model to the storage model.
2. There are three main approaches to development with EF - database first, model first, and code first. Code first allows defining classes and properties that map to database tables and columns.
3. The Fluent API and data annotations allow further configuration of entity mappings, relationships, and validation when using code first development.
The document discusses data modeling and entity relationship diagrams. It defines data modeling as the process of defining and analyzing data requirements to support business processes. It describes the different types of data models including conceptual, logical, and physical models. It also explains the key components of entity relationship diagrams including entities, attributes, relationships, cardinality, and notation. The document provides an example of using an ERD to model a scenario involving departments, supervisors, employees, and projects.
The document discusses Entity Framework (EF), an object-relational mapper that allows .NET developers to work with relational data using domain-specific objects. It presents an agenda covering EF, usage options, model creation, EF versions 6 and 7, data annotations, the fluent API, and demonstrations. The speaker aims to explain EF and how it works, compare it to other object-relational mappers, and discuss best practices and conventions for configuring domain classes.
This document provides an overview of entity-relationship modeling as a first step for designing a relational database. It describes how to model entities, attributes, relationships, and participation constraints. Key aspects covered include using boxes to represent entity types, diamonds for relationship types, and labeling relationships with degrees. The document also discusses handling multi-valued attributes and deciding whether to model concepts as attributes or entity types.
The document provides an overview of entity-relationship (E-R) modeling concepts including:
- Entity sets represent collections of real-world entities that share common properties
- Relationship sets define associations between entity sets
- Attributes provide additional information about entities and relationships
- Keys uniquely identify entities and relationships
- Cardinalities constrain how entities can participate in relationships
- E-R diagrams visually depict entity sets, attributes, relationships and constraints.
Entity Framework Core (EF Core) is an object-relational mapper that reduces friction between data structures and classes, builds and executes SQL queries, and allows querying and updating data. It is cross-platform, supports LINQ queries, change tracking, and schema migrations. A database context provides logic for EF Core to interact with the database by exposing database sets and determining how EF Core handles data at runtime. Common methods like OnConfiguring and OptionsBuilder are important for configuring the connection string and database provider. EF Core supports databases like SQL Server, SQLite, MySQL, and PostgreSQL.
In this session we will analyze the options we have in order to start using Entity Framework
CodeFirst in existing projects where the data access is done in an older fashion.
The document discusses Entity Framework and provides an agenda for demos. It introduces Entity Framework as a tool that addresses the impedance mismatch between objects in an application and data in databases. It then lists several demos that will be shown, including creating a model from an existing database, modeling different relationship types like many-to-many and inheritance, and using conditions to filter query results. The document concludes with contact information for questions.
Exceptions are the Norm: Dealing with Bad Actors in ETLDatabricks
Stable and robust data pipelines are a critical component of the data infrastructure of enterprises. Most commonly, data pipelines ingest messy data sources with incorrect, incomplete or inconsistent records and produce curated and/or summarized data for consumption by subsequent applications.
In this talk, we go over new and upcoming features in Spark that enabled it to better serve such workloads. Such features include isolation of corrupt input records and files, useful diagnostic feedback to users and improved support for nested type handling which is common in ETL jobs.
Speaker: Sameer Agarwal
This talk was originally presented at Spark Summit East 2017.
.NET Core, ASP.NET Core Course, Session 16aminmesbahi
The document discusses Entity Framework Core (EF Core) version 1.1 Preview 1, comparing it to Entity Framework 6.x (EF6.x). EF Core 1.1 adds support for new operating systems, improves LINQ translation, adds the DbSet.Find method, and allows mapping properties to fields. While EF Core shares some APIs with EF6.x, it is still a new and lighter product missing some features, so EF6.x may be better for existing applications. EF Core is best for new .NET Core and ASP.NET Core applications that don't require missing EF6.x features.
Efficient processing of large and complex XML documents in HadoopDataWorks Summit
Many systems capture XML data in Hadoop for analytical processing. When XML documents are large and have complex nested structures, processing such data repeatedly would be inefficient as parsing XML becomes CPU intensive, not to mention the inefficiency of storing XML in its native form. The problem is compounded in the Big Data space, when millions of such documents have to be processed and analyzed within a reasonable time. In this talk an efficient method is proposed by leveraging the Avro storage and communication format, which is flexible, compact and specifically built for Hadoop environments to model complex data structures. XML documents may be parsed and converted into Avro format on load, which can then be accessed via Hive using a SQL-like interface, Java MapReduce or Pig. A concrete use-case is provided that validates this approach along with variations of the same and their relative trade-offs.
The document discusses Erik Schaeffer's experience using CakePHP for various web applications at St. Edward's University. It describes some of the systems developed using CakePHP including an LDAP integration, Drupal integration, and an ambitious portal project called Omnio. Code examples and integration details are provided for working with LDAP and Drupal through CakePHP.
The document discusses the ADO.Net Entity Framework 4.0 and the need for object-relational mapping (ORM) tools. It covers Entity Data Modeling (EDM) components like conceptual models, storage models, and mappings. It also discusses database first and model first approaches to EDM creation. Additional topics covered include LINQ to Entities, working with stored procedures, customizing entities with T4 templates, and using POCO entities.
The document describes the Data Vault modeling technique which involves storing historical data from multiple sources in a series of normalized tables. It outlines the key components of a Data Vault including hubs, links, and satellites. It then discusses how to implement a Data Vault using an ETL framework, metadata tables, and automation to load the Data Vault from source systems in a standardized, repeatable process.
The document describes the Data Vault modeling technique which involves storing historical data from different sources in a series of normalized tables. It outlines the key components of a Data Vault including hubs, links, and satellites. It then discusses how to implement a Data Vault using the Pentaho Data Integration (Kettle) tool including generating and loading metadata, and executing jobs and transformations in parallel via a framework that standardizes the ETL process.
The document discusses a design philosophy for using a relational database schema to automatically generate an HTTP API. It proposes that tables and views can map to routes, WHERE clauses can map to query parameters, primary keys can identify rows, foreign keys can link related data, and LIMIT and OFFSET can map to HTTP range headers. It also suggests SQL operations like update, insert, and upsert can map to HTTP PATCH, POST, and PUT requests. Additional topics covered include using schema versions for API versions, mapping database roles to OAuth, using OPTIONS to provide column constraints, caching headers from statistics, and using EXPLAIN to prevent inefficient queries.
Tomáš Herceg "Entity Framework Core 2.1 – what’s new?"Fwdays
This session is about new features of Entity Framework Core 2.1, such as lazy loading, translation of GroupBy queries, data seeding and more.
I’ll cover all the new features you can find in Entity Framework Core, and you'll see demos of several database providers and how various LINQ queries translate to SQL with EF Core.
The document compares the performance of Linq to SQL and Entity Framework, discussing their architectures and identifying potential performance bottlenecks like infrastructure initialization, mapping overhead, and materialization. It outlines various performance optimization techniques for each like using views pre-generation in EF, turning off tracking, compiling Linq queries, and adjusting lazy vs eager loading. A series of tests are described that analyze the performance impacts of these different strategies using simple and advanced data retrieval and modification scenarios on a sample Northwind database.
This document discusses integrating AngularJS, ASP.NET Web API, SignalR, and Entity Framework. It begins with an overview of object-relational mapping and Entity Framework. It then demonstrates how to develop an ASP.NET Web API with Entity Framework using Code First migrations to initialize and seed a database. Different data loading strategies like eager, lazy, and explicit loading are explained. Issues with navigation properties and circular references are addressed. The document also covers creating DTOs, mapping entities to DTOs with LINQ and AutoMapper, and integrating everything into a real-time dashboard using SignalR with Entity Framework backend.
Entity Core with Core Microservices.pptxKnoldus Inc.
How Developers can use Entity framework(ORM) which provides a structured and consistent way for microservices to interact with their respective database, prompting independence, scaliblity and maintainiblity in a distributed system, and also provide a high-level abstraction for data access.
Application Architecture Patterns talk tailored for PHP / Symfony developers. (2016). We describe the traditional layers, a Domain Model, Hexagonal architecture and how the pieces fit together.
A Tour of EF Core's (1.1) Most Interesting & Important FeaturesJulie Lerman
This document summarizes key features and the evolution of Entity Framework Core. It notes that EF Core is a lightweight and extensible version of EF that works across platforms with .NET Core. It highlights composable APIs, cross-platform functionality, and modern software practices as themes of EF Core. The document reviews EF Core versions and features, differences between EF6 and EF Core, the roadmap for future EF Core releases, and resources for learning more.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
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!
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, 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.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
3. Why Database Layer
Object Impedance Mismatch - RDBMS and OOP
Object Conversions - RDBMS to OOP and OOP to RDBMS
Needs Easy Conversion Process - Rise of ORM
4. ORM?
Many Frameworks - EF, NH, LINQ to SQL
RDBMS to NoSQL Support
Single RDBMS Support to Various RDBMS Support
DB Layer Uniformity Across the Organization
13. Modelling - Model First
Create model in EF Designer
Generate database from model
Classes auto-generated from model
Preferred approach for new database.
15. Modelling - Code First
Define classes and mapping in code
Database created from code
Migrations apply model changes to database
Preferred approach for new database. Generally
preferred in Agile/Scrum
16. Modelling - Fluent Api, Configuration and Conventions
Fluent Api - Chaining Api
Configuration with Fluent Api
Conventions
17. Hands On
Code First - Create Classes with Conventions only
Database Generation
Database Migration
36. EF - Inheritance Strategy - TPH
Needs a column, discriminator, that will used to identify exact type.
Retrieving Type in TPH
Code First Configuration
Gives better performance but there are many duplicate data and nullable columns.
38. EF - Inheritance Strategy - TPT
Each entity maps to table. So CUD operations are faster
Code First Configuration
Retrieval is slower than TPH as it needs joins with base class/table.
40. EF - Inheritance Strategy - TPC
Each concrete entity maps to table.
Code First Configuration
Properties of abstract entity are combined with concrete entity and many data/columns duplications.
EDMX designer does not support this mapping. Manual modification is required.
47. EF - Concurrency - Optimistic
None: Default and there is no concurrency
Fixed: Original value of concurrency column is included in where part while generating SQL
Rows are not locked. Read operation can be never locked