Monty  Boehm

Monty Boehm


What is Snowflake Database - Guide

The snowflake database is all the rage these days. But what are they, exactly? And what makes them so special?

In this guide, we’ll answer those questions and more. We’ll explain what snowflake databases are, how they work, and why you might want to use one in your business. Plus, we’ll give you a few tips on how to get started with the snowflake database if you’re not quite sure where to start.

1. What is a snowflake database?

Snowflake databases are a more modern type of database architecture. Their rise in popularity reflects the way companies use data today and what platforms they prefer to access their information.

Unlike its predecessor, the star schema, snowflake schemas allow greater flexibility when designing and managing databases. They’re also easier to maintain and update than traditional relational databases (RDB). And that’s not all: many find them easier to query as well.

2. What is a relational database? 

A relational database is one of the most common ways to store large amounts of data in an organized manner.

It works by associating pieces of related data with each other, forming what’s called a table. A table can contain many different types of data (strings, numbers, dates, etc.), which are what make up its rows and columns.

3. What is a star schema? 

The star schema is one of the most common ways to organize databases in relational database management systems (RDBMS). It’s an old method that was popular before snowflake databases came into existence. 

The data in the RDBMS is organized into what are called fact tables, which hold values, and what are called dimension tables, which hold metadata used for querying the database. These two types of tables form what’s called the star schema model.

4. How does a snowflake database work? 

Snowflake databases help companies solve modern-day problems with traditional relational databases, such as the star schema. They address issues like data fragmentation, maintenance overhead, and computing power. This is what makes them so popular.

A snowflake database organizes the same types of information present in relational databases into dimensional models. The most significant difference between a snowflake model and a star schema is that the dimensions in a snowflake database don’t depend on each other for storage or querying purposes. This gives you greater flexibility when thinking about what tables to build and what columns to put within them.

5. What are some advantages of using snowflake schemas over traditional relational databases? 

Many organizations, especially those dealing with large amounts of structured data, opt to use snowflake databases instead of RDBMS. Here are what some of the advantages are:

Flexible schema design: Snowflake databases allow you to design schemas that reflect how business users think about data. Not what the database engine needs to store the data effectively. This helps reduce complexity and boost performance.

Simplified management: Snowflake schemas make it easier for companies to spot problems arising from changes in their organization’s data model. They’re also easier to maintain because they don’t require complex ETL processes as RDBMSs do. And lastly, there’s less computing overhead than other types of database structures because snowflake structures distribute individual tables across multiple servers.

Enhanced querying capabilities: Since dimensions in a snowflake database aren’t dependent on each other, there’s usually little data duplication. This allows companies to query the entire snowflake more efficiently than an RDBMS.

6. What are some alternatives to snowflake databases? 

Snowflake models aren’t the only way for businesses to store their data. There are a few alternative ways: what we call normalized and denormalized data storage (the latter is also known as denormalized data). They’re helpful in certain situations, but they don’t offer the same advantages as snowflakes do over star schemas. This is why those who need those advantages tend to prefer snowflakes over other types of database structures.

Normalized Data Storage: This method converts several tables into one. This helps resolve duplication issues because there’s only one table. However, it can get really complicated to maintain because of all the necessary joins between tables.

De-Normalized Data Storage (Denormalized): This does remove normalization for what would be different tables and put the same information in instead. This, like normalized storage, reduces data redundancy. Still, it also has its own set of problems. Including making queries more complex and costly than if they were done on a snowflake model or other alternative data structure.

7. Why choose a snowflake database for your business?

Snowflake databases are what are known as dimensional models. They’re typically used for online analytical processing (OLAP), which means they’re great at handling large volumes of data. This makes them perfect for what businesses now need to do, such as analyzing large amounts of structured and unstructured data, pulling insights from machine learning systems, and making real-time decisions based on what the data shows.

What sets snowflakes apart is how they organize information so companies can store what matters most while also allowing them to extend this storage across multiple servers. Less computing overhead than RDBMSs, they help improve performance by efficiently filtering out unnecessary information that isn’t relevant to business users’ particular tasks.

8. Tips on getting started with the snowflake database 

What should your first steps be if you’re just starting out with snowflake databases?   We’ve got a few tips for you: what better way to get started than by building what’s known as a dimensional model. This is what data architects and business intelligence (BI) analysts use to map how data is connected and where it can be found within the snowflake. Data modeling is an integral part of this process. So you need to know what kind of design best suits your company’s needs - whether you want to go hybrid or fully dimensional.

As far as networking goes, what you’ll want to do next is install grids on each server that your snowflake will run on. These are what bring all the servers together to have what they need to work with the snowflake model. Once these grids are installed, what you should do next is import what’s known as a knowledge module. These will ensure that all of your servers communicate effectively and can handle what they need to, so you get excellent performance from what might be a large amount of data.

Learning the snowflake database can be a daunting task, but it can be easy to get up to speed with the right resources. 

If you need help setting up or managing your snowflake database, don’t hesitate to contact us. Our experts are more than happy to help you get started and make sure your database is running smoothly.

Original article source at:

#snowflake #database 

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What is Snowflake Database - Guide
Ruth  Nabimanya

Ruth Nabimanya


System Databases in SQL Server


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
  • 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)
  • 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.
  • 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.
  • 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.
  • 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

Django-allauth: A simple Boilerplate to Setup Authentication


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

Getting Started


  • Python 3.8.6 or higher

Project setup

# clone the repo
$ git clone

# 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.

 @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.

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.


  • 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:
License: MIT License

#django #python 

What is Snowflake Database - Guide for 2022

The snowflake database is all the rage these days. But what are they, exactly? And what makes them so special?

In this guide, we’ll answer those questions and more. We’ll explain what snowflake databases are, how they work, and why you might want to use one in your business. Plus, we’ll give you a few tips on how to get started with the snowflake database if you’re not quite sure where to start.

#database #databases #snowflake #cloud 

 iOS App Dev

iOS App Dev


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


How to Efficiently Choose the Right Database for Your Applications

Finding the right database solution for your application is not easy. Learn how to efficiently find a database for your applications.

Finding the right database solution for your application is not easy. At iQIYI, one of the largest online video sites in the world, we’re experienced in database selection across several fields: Online Transactional Processing (OLTP), Online Analytical Processing (OLAP), Hybrid Transaction/Analytical Processing (HTAP), SQL, and NoSQL.

Today, I’ll share with you:

  • What criteria to use for selecting a database.
  • What databases we use at iQIYI.
  • Some decision models to help you efficiently pick a database.
  • Tips for choosing your database.

I hope this post can help you easily find the right database for your applications.

#database architecture #database application #database choice #database management system #database management tool