Christa  Stehr

Christa Stehr

1595341645

Problem In Set Attribute While Saving/Updating Data & How To Resolve It

Many times you want the first_name or last_name to be capitalized while storing in your database. And sometimes you want to stored status like open/closed with a small case and when fetching you need to be capitalized.

This is easily achievable in Laravel and has feature named Accessors (What to do when accessing some field) & Mutators (What to do when saving/updating some field).


Prerequisites

I hope you have basic understanding of Laravel & know how to do CRUD (Create, Read, Update, Delete) operations.


Accessors (getColumnNameAttribute)

To define an accessor, create a **getFirstNameAttribute** method on your model where FirstNameis the “studly” cased name of the column you wish to access, here its **first_name** as stored in your database table. This accessor will automatically called by Eloquent when you retrieve the value of the first_name from database table.

NOTE: Accessor starts with **get** and ends with **Attribute**. In between you will have column name in studly caps.

Following is the example of how to do it in MODEL

<?php
namespace App;
use Illuminate\Database\Eloquent\Model;

class User extends Model
{
  public function getFirstNameAttribute($firstName)
  {
    return ucfirst($firstName);
  }
}

In the above example you can see that the **$firstName** attribute is passed and its returning capitalized name. You can name anything to your accessor method parameter.

In Controller

$user = App\Models\User::where('email', $email)->first();
/** Here the FirstName accessor is called automatically */
echo $user->first_name; 

You can also user accessor to return the value based on more than one fields. For example

public function getFullNameAttribute($firstName)
{
    return ucfirst($this->first_name) .' '. ucfirst($this->last_name);
}

#database #capitalized

What is GEEK

Buddha Community

 Problem In Set Attribute While Saving/Updating Data & How To Resolve It
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

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

I am Developer

1599275499

PHP Code for Update Data in MySQL Database - Tuts Make

php code for updating data in mysql database. Here, i will show you how to fetch and update data from mysql in php.

PHP Code for retrieve and update data form mysql database

  1. Step 1 - Connect to MySQL database
  2. Step 2 - Fetch data from the database
  3. Step 3 - Update data from database

https://www.tutsmake.com/php-code-for-update-data-in-mysql-database/

#how to edit data in php using form #how to update data in php using form mysqli #how to fetch and update data from database in php #php code for updating data in mysql database #php #update

Mikel  Okuneva

Mikel Okuneva

1600012800

What Exactly Is Data Governance?

The first step is to understand what is data governance. Data Governance is an overloaded term and means different things to different people. It has been helpful to define Data Governance based on the outcomes it is supposed to deliver. In my case, Data Governance is any task required for:

  • Compliance: Data life cycle and usage is in accordance with laws and regulations.
  • Privacy: Protect data as per regulations and user expectations.
  • Security: Data & data infrastructure is adequately protected.

Why is Data Governance hard?

Compliance, Privacy, and Security are different approaches to ensure that data collectors and processors do not gain unregulated insights. It is hard to ensure that the right data governance framework is in place to meet this goal. An interesting example of an unexpected insight is the sequence of events leading to leakage of taxi cab tipping history of celebrities.

#databases #big-data-and-governance #data-lineage #data-governance #what-is-data-governance #data-governance-explained #data-governance-and-privacy #data-governance-problems

Cyrus  Kreiger

Cyrus Kreiger

1618039260

How Has COVID-19 Impacted Data Science?

The COVID-19 pandemic disrupted supply chains and brought economies around the world to a standstill. In turn, businesses need access to accurate, timely data more than ever before. As a result, the demand for data analytics is skyrocketing as businesses try to navigate an uncertain future. However, the sudden surge in demand comes with its own set of challenges.

Here is how the COVID-19 pandemic is affecting the data industry and how enterprises can prepare for the data challenges to come in 2021 and beyond.

#big data #data #data analysis #data security #data integration #etl #data warehouse #data breach #elt