Updating siloed database infrastructure

Editor’s note: We’re hearing today from pharmaceutical and pharmacy technology giant McKesson about how their teams modernized siloed infrastructure to use data better. Here’s how they did it.

McKesson Corporation is a global leader in healthcare supply chain management solutions, retail pharmacy, community oncology and specialty care, and healthcare information solutions. Every day, McKesson delivers one-third of all pharmaceuticals used in North America to more than 40,000 customers in retail chains, independent pharmacies, hospitals, long-term care providers, and more.

Technology change requires culture change

As McKesson continues to grow, so does our technology team. Over the last few years, we’ve become the home to multiple databases, platforms, and data warehouses. With this variety of data tools, it was clear that we needed a stronger, long-term solution that would let us get the most out of our data—this wasn’t just a technological shift, but a cultural one as well.

Why we chose Google Cloud

While researching various cloud providers, we discovered that Google Cloud offered all the same strengths of the cloud platform we’d previously been using, while also providing unique tools and benefits that fit perfectly with our needs.

Google Cloud changed the way we worked. As a legacy shop, we only had one option, which meant teams were using their own batch process databases with low-latency app calls during business hours and batch processing ETL during non-business hours. By moving to Google Cloud, we were able to take advantage of Cloud SQL, a fully managed relational database service for MySQL, SQL Server, and PostgreSQL—the service we preferred.

The Google Cloud team also helped us to create a quadrant system for migration that allowed us to see quick wins and add predictability for more complex migrations. Additionally, the familiarity and the wealth of training tools allowed for an easy transition for our team—we’ve been able to retrain our existing team and give them the capacity to focus on more impactful areas to the business.

#google cloud platform #databases #cloud

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Updating siloed database infrastructure
Ruth  Nabimanya

Ruth Nabimanya

1620633584

System Databases in SQL Server

Introduction

In SSMS, we many of may noticed System Databases under the Database Folder. But how many of us knows its purpose?. In this article lets discuss about the System Databases in SQL Server.

System Database

Fig. 1 System Databases

There are five system databases, these databases are created while installing SQL Server.

  • Master
  • Model
  • MSDB
  • Tempdb
  • Resource
Master
  • This database contains all the System level Information in SQL Server. The Information in form of Meta data.
  • Because of this master database, we are able to access the SQL Server (On premise SQL Server)
Model
  • This database is used as a template for new databases.
  • Whenever a new database is created, initially a copy of model database is what created as new database.
MSDB
  • This database is where a service called SQL Server Agent stores its data.
  • SQL server Agent is in charge of automation, which includes entities such as jobs, schedules, and alerts.
TempDB
  • The Tempdb is where SQL Server stores temporary data such as work tables, sort space, row versioning information and etc.
  • User can create their own version of temporary tables and those are stored in Tempdb.
  • But this database is destroyed and recreated every time when we restart the instance of SQL Server.
Resource
  • The resource database is a hidden, read only database that holds the definitions of all system objects.
  • When we query system object in a database, they appear to reside in the sys schema of the local database, but in actually their definitions reside in the resource db.

#sql server #master system database #model system database #msdb system database #sql server system databases #ssms #system database #system databases in sql server #tempdb system database

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

Django-allauth: A simple Boilerplate to Setup Authentication

Django-Authentication 

A simple Boilerplate to Setup Authentication using Django-allauth, with a custom template for login and registration using django-crispy-forms.

Getting Started

Prerequisites

  • Python 3.8.6 or higher

Project setup

# clone the repo
$ git clone https://github.com/yezz123/Django-Authentication

# move to the project folder
$ cd Django-Authentication

Creating virtual environment

  • Create a virtual environment for this project:
# creating pipenv environment for python 3
$ virtualenv venv

# activating the pipenv environment
$ cd venv/bin #windows environment you activate from Scripts folder

# if you have multiple python 3 versions installed then
$ source ./activate

Configured Enviromment

Environment variables

SECRET_KEY = #random string
DEBUG = #True or False
ALLOWED_HOSTS = #localhost
DATABASE_NAME = #database name (You can just use the default if you want to use SQLite)
DATABASE_USER = #database user for postgres
DATABASE_PASSWORD = #database password for postgres
DATABASE_HOST = #database host for postgres
DATABASE_PORT = #database port for postgres
ACCOUNT_EMAIL_VERIFICATION = #mandatory or optional
EMAIL_BACKEND = #email backend
EMAIL_HOST = #email host
EMAIL_HOST_PASSWORD = #email host password
EMAIL_USE_TLS = # if your email use tls
EMAIL_PORT = #email port

change all the environment variables in the .env.sample and don't forget to rename it to .env.

Run the project

After Setup the environment, you can run the project using the Makefile provided in the project folder.

help:
 @echo "Targets:"
 @echo "    make install" #install requirements
 @echo "    make makemigrations" #prepare migrations
 @echo "    make migrations" #migrate database
 @echo "    make createsuperuser" #create superuser
 @echo "    make run_server" #run the server
 @echo "    make lint" #lint the code using black
 @echo "    make test" #run the tests using Pytest

Preconfigured Packages

Includes preconfigured packages to kick start Django-Authentication by just setting appropriate configuration.

PackageUsage
django-allauthIntegrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication.
django-crispy-formsdjango-crispy-forms provides you with a crispy filter and {% crispy %} tag that will let you control the rendering behavior of your Django forms in a very elegant and DRY way.

Contributing

  • Django-Authentication is a simple project, so you can contribute to it by just adding your code to the project to improve it.
  • If you have any questions, please feel free to open an issue or create a pull request.

Download Details:
Author: yezz123
Source Code: https://github.com/yezz123/Django-Authentication
License: MIT License

#django #python 

 iOS App Dev

iOS App Dev

1625133780

SingleStore: The One Stop Shop For Everything Data

  • SingleStore works toward helping businesses embrace digital innovation by operationalising “all data through one platform for all the moments that matter”

The pandemic has brought a period of transformation across businesses globally, pushing data and analytics to the forefront of decision making. Starting from enabling advanced data-driven operations to creating intelligent workflows, enterprise leaders have been looking to transform every part of their organisation.

SingleStore is one of the leading companies in the world, offering a unified database to facilitate fast analytics for organisations looking to embrace diverse data and accelerate their innovations. It provides an SQL platform to help companies aggregate, manage, and use the vast trove of data distributed across silos in multiple clouds and on-premise environments.

**Your expertise needed! **Fill up our quick Survey

#featured #data analytics #data warehouse augmentation #database #database management #fast analytics #memsql #modern database #modernising data platforms #one stop shop for data #singlestore #singlestore data analytics #singlestore database #singlestore one stop shop for data #singlestore unified database #sql #sql database

Ruth  Nabimanya

Ruth Nabimanya

1620655800

What Is a Smart Database Proxy?

You can change how your database systems behave without changing either clients or servers, by defining your logic in a smart database proxy.

Smart database proxies may not be familiar to many people, and it’s a shame because they can solve many difficult problems elegantly. This article explains what they are, what they do, and when they are useful.

A Quick Comparison

Why Would You Want to Do That?

Two Simple Examples

A Variety of Uses

What About Performance?

But That’s Not the Real Data!

A State of Mind

#database #database access #database application development #proxies #proxy server #database infrastructure