Alfie Mellor

Alfie Mellor

1551330243

Laravel + Vue return data with more than one relation

I have a model called Exercise, that belongs to Topic, and a Topic belongs to a Subject.

With

Exercise::with('topic')->get()

I can access properties from the current topic of the exercise inside Vue. What can I do to return also the data from the subject that the topic that my exercise belongs to?

If I was able to use just blade template, I would just call:

{{$exercise->topic->subject->name}}

But the thing is that I'm passing everything as a json to work with the data in a datatable with vue.

One solution is to also pass Subject::all to my view, and use the subject_id inside the exercise>topic with vue:

@{{subjects[exercise.topic.subject_id].name}}

I'm looking for a better and cleaner solution than that. Is there a Laravel method, like multiple with's with multiple relations? Something like:

Exercise::with('topic')->and('topic')->with('subject')->get()

Thank you!

#json #laravel #vue-js

What is GEEK

Buddha Community

Elthel Mario

1551336162

If you want to get data with the relation of topic belongs to subject so,

Try this:

Exercise::with('topic.subject')->get();

Siphiwe  Nair

Siphiwe Nair

1620466520

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

Luna  Mosciski

Luna Mosciski

1600583123

8 Popular Websites That Use The Vue.JS Framework

In this article, we are going to list out the most popular websites using Vue JS as their frontend framework.

Vue JS is one of those elite progressive JavaScript frameworks that has huge demand in the web development industry. Many popular websites are developed using Vue in their frontend development because of its imperative features.

This framework was created by Evan You and still it is maintained by his private team members. Vue is of course an open-source framework which is based on MVVM concept (Model-view view-Model) and used extensively in building sublime user-interfaces and also considered a prime choice for developing single-page heavy applications.

Released in February 2014, Vue JS has gained 64,828 stars on Github, making it very popular in recent times.

Evan used Angular JS on many operations while working for Google and integrated many features in Vue to cover the flaws of Angular.

“I figured, what if I could just extract the part that I really liked about Angular and build something really lightweight." - Evan You

#vuejs #vue #vue-with-laravel #vue-top-story #vue-3 #build-vue-frontend #vue-in-laravel #vue.js

Gerhard  Brink

Gerhard Brink

1620629020

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).


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

Siphiwe  Nair

Siphiwe Nair

1623709440

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