Core Data One to Many Relationship & Core Data Delete Rules : SwiftUI

Relationship in Core Data is always a better choice as it help developers to separate data into different tables also it allow user to a safe access of require data not the full access of data to the view if not require it help to safeguard the data when not in use. 

As when developer perform fetch request it can able to perform whole Data search from the Core Data at once so you don’t always need to provide unnecessary data fetching for each views you can easily pass into another views when necessary. When fetching for relationship developer can able to fetch according to their choice what table they want to access and what not. 

In this video we gonna learn how to use Core Data having a One to Many Relationship.

#swift #ios #xcode #software-development #database #databases 

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jQuery Ajax CRUD in ASP.NET Core MVC with Modal Popup

In this article, we’ll discuss how to use jQuery Ajax for ASP.NET Core MVC CRUD Operations using Bootstrap Modal. With jQuery Ajax, we can make HTTP request to controller action methods without reloading the entire page, like a single page application.

To demonstrate CRUD operations – insert, update, delete and retrieve, the project will be dealing with details of a normal bank transaction. GitHub repository for this demo project : https://bit.ly/33KTJAu.

Sub-topics discussed :

• Form design for insert and update operation.
• Display forms in modal popup dialog.
• Form post using jQuery Ajax.
• Implement MVC CRUD operations with jQuery Ajax.
• Loading spinner in .NET Core MVC.
• Prevent direct access to MVC action method.

Create ASP.NET Core MVC Project

In Visual Studio 2019, Go to File > New > Project (Ctrl + Shift + N).

From new project window, Select Asp.Net Core Web Application_._

Once you provide the project name and location. Select Web Application(Model-View-Controller) and uncheck HTTPS Configuration. Above steps will create a brand new ASP.NET Core MVC project.

Setup a Database

Let’s create a database for this application using Entity Framework Core. For that we’ve to install corresponding NuGet Packages. Right click on project from solution explorer, select Manage NuGet Packages_,_ From browse tab, install following 3 packages.

Now let’s define DB model class file – /Models/TransactionModel.cs.

public class TransactionModel
{
    [Key]
    public int TransactionId { get; set; }

    [Column(TypeName ="nvarchar(12)")]
    [DisplayName("Account Number")]
    [Required(ErrorMessage ="This Field is required.")]
    [MaxLength(12,ErrorMessage ="Maximum 12 characters only")]
    public string AccountNumber { get; set; }

    [Column(TypeName ="nvarchar(100)")]
    [DisplayName("Beneficiary Name")]
    [Required(ErrorMessage = "This Field is required.")]
    public string BeneficiaryName { get; set; }

    [Column(TypeName ="nvarchar(100)")]
    [DisplayName("Bank Name")]
    [Required(ErrorMessage = "This Field is required.")]
    public string BankName { get; set; }

    [Column(TypeName ="nvarchar(11)")]
    [DisplayName("SWIFT Code")]
    [Required(ErrorMessage = "This Field is required.")]
    [MaxLength(11)]
    public string SWIFTCode { get; set; }

    [DisplayName("Amount")]
    [Required(ErrorMessage = "This Field is required.")]
    public int Amount { get; set; }

    [DisplayFormat(DataFormatString = "{0:MM/dd/yyyy}")]
    public DateTime Date { get; set; }
}

C#Copy

Here we’ve defined model properties for the transaction with proper validation. Now let’s define  DbContextclass for EF Core.

#asp.net core article #asp.net core #add loading spinner in asp.net core #asp.net core crud without reloading #asp.net core jquery ajax form #asp.net core modal dialog #asp.net core mvc crud using jquery ajax #asp.net core mvc with jquery and ajax #asp.net core popup window #bootstrap modal popup in asp.net core mvc. bootstrap modal popup in asp.net core #delete and viewall in asp.net core #jquery ajax - insert #jquery ajax form post #modal popup dialog in asp.net core #no direct access action method #update #validation in modal popup

Big Data Follows One Farm, One Data Set Rule Overwhelming To Farmers

The digital world has transformed several businesses with significant impacts on data analytics. The vast type of knowledge available to view is expected to exceed 44 zettabytes by 2022 and has proved to have been of tremendous benefit to several sectors and big companies.

A few companies that get an advantage from big data consulting services are banking, airline, tourism, hospitality, automotive, athletic, entertainment industries, and even the farming sector. The collection could go on and on through big data could be a tremendous possession of an industry expert. By the end of 2021, the company’s acceptance of big data will go to 53 percent. Agriculture struggles to be symbiotic towards the business in the clarification of the information produced.

One industry that can enormously get profit from big data is the rural area. Indeed, the horticultural business likewise can utilize information from numerous points of view and advantage from it extraordinarily. Big data gets an inventive methodology in pretty much every area of the world, so for what reason would horticulture be given up.

Big data is quite an incredible power that it unquestionably can change the agricultural space. Today ranchers must comprehend and esteem innovation to settle on choices all the more rapidly and not linger behind the imaginative methodologies. As smart types of machinery and instruments yield up on farm statistics produce in huge amounts. Possibility, farming developments would develop to be progressively data-enabled as well as data-driven.

#agriculture #big data #latest news #big data follows one farm #one data set rule overwhelming to farmers #big data follows one farm, one data set rule overwhelming to farmers

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Laravel Eloquent Relationships

In this example we will see Laravel Eloquent relationships, laravel provides many relationship like laravel hasmany, laravel belongsto, wherehas laravel, many to many relationship laravel, eloquent relationships, one to many relationship laravel, one to one relationship laravel, here we will see all relationship with example.

There are 3 types of relationships in laravel:

• One to one
• One to many
• Many to many

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Read More : Laravel Eloquent Relationships

https://websolutionstuff.com/post/laravel-eloquent-relationships

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#laravel eloquent relationships #laravel relationship #one to one relationship #laravel hasmany #many to many relationship laravel #one to many relationship laravel

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).

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This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management