Ruth  Nabimanya

Ruth Nabimanya

1621353960

Why We Should Have Different Databases

Today there are hundreds of SQL and NoSQL databases. Some of them are popular, some are ignored. Some are user-friendly and well documented and some are hard to use. Some are open-sourced and some are proprietary. And, perhaps, the most important - some are scalable, optimized, highly available and some are difficult to scale or maintain.

There comes the natural question: how to choose a database? To answer it, we should decide, what we want to achieve with a database. To create a view, we should answer questions like these:

  1. Do we need analytical access to the database?
  2. Do we need real-time writing or reading?
  3. How many tables/records we want to store?
  4. What availability do we need?
  5. Do we need columns?
  6. Will we access tables with filter by column or with filter by row?

When the decision is done, we need to keep in mind, what one or another database able to offer. Particular features of each database may vary, but in general, there are only a few types of databases. Within these types, we can achieve mostly the same goals. Let’s look at them closely.

#big-data #sql #database #oracle #mongodb #cassandra #bigdata #nosql

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Why We Should Have Different Databases
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

Siphiwe  Nair

Siphiwe Nair

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

1620640920

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

Brain  Crist

Brain Crist

1600275600

How to Build a Pokedex React App with a Slash GraphQL Backend

Frontend developers want interactions with the backends of their web applications to be as painless as possible. Requesting data from the database or making updates to records stored in the database should be simple so that frontend developer can focus on what they do best: creating beautiful and intuitive user interfaces.

GraphQL makes working with databases easy. Rather than relying on backend developers to create specific API endpoints that return pre-selected data fields when querying the database, frontend developers can make simple requests to the backend and retrieve the exact data that they need—no more, no less. This level of flexibility is one reason why GraphQL is so appealing.

Even better, you can use a _hosted _GraphQL backend—Slash GraphQL (by Dgraph). This service is brand new and was publicly released on September 10, 2020. With Slash GraphQL, I can create a new backend endpoint, specify the schema I want for my graph database, and—voila!—be up and running in just a few steps.

The beauty of a hosted backend is that you don’t need to manage your own backend infrastructure, create and manage your own database, or create API endpoints. All of that is taken care of for you.

In this article, we’re going to walk through some of the basic setup for Slash GraphQL and then take a look at how I built a Pokémon Pokédex app with React and Slash GraphQL in just a few hours!

#development #web developement #databases #graph databases #reactjs #database design #database architecture #pokemon #graph databases in the cloud #dgraph

Ruth  Nabimanya

Ruth Nabimanya

1620648300

What is SQL? And Where is it Used?

Define: SQL [pron. “sequel”] – stands for Structured Query Language (SQL), used by databases to model and manage tabular/relational datasets; a set of standardized Data Definition Language (DDL) functions to create tables, views, and define relational schema models, and Data Manipulation Language (DML) to query, insert, and modify data in the tables.

*Read-only select queries are technically part of its Data Query Language (DQL) group. Still, operationally, many refer to it as DML because it can do more than read-only queries.

Super Brief History of SQL

Who Uses SQL?

What Can a SQL Database Do?

What is a SQL Query?

Different SQL Database Platforms

SQL for JSON

Application Developers

SQL for Big Data

Further Reading

#sql #database #relational-database #nosql #json #sql-database #database-administration #databases-best-practices