Why do we need a Database?
Database manages a large amount of data daily.
- Accuracy: Database is a collection of data which has checks and parameters present in it which proves to be accurate. The data is highly secure and precise.
- Easy Update: With the use of various database languages, it is easy to update and maintain the data.
- Security: Database ensures the data security. Access to the information within a database is secured by providing user login to authorized members.
- Data Integrity: Integrity of the data is maintained with the help of various parameters and constraints. This ensured data integrity by using various constraints in the databases. Database makes sure that the data present in it is precise and compatible.
- Easy to Research: Searching of data is easy within database with help data query language and it allows evaluation of the data as well.
- A database is a tabular set of data which has rows and column in it. It is stored securely in the organizational system and accessed when required.
- Databases are complex structures and they are developed with the help of various attributes and keys for better working and understanding of the data tables.
- Databases are designed in a tabular form. They have rows and columns which are easy to understand and fetch the data quickly.
- Numerous databases work as query languages for writing and searching data.
- The database is used to manage the internal operations of an organization. The database notes down the online interactions with customers and suppliers.
- Databases are administrative information and are more specialized data in a specific field.
- An example includes a computerized library system, flight reservation system, computerized past inventory system, and many content management systems that store websites as a collection of web pages in a database.
Also Read: Azure vs AWS: Difference Between Them
Types of Azure Databases
Relational Database:
- A relational database is a connection between data related to each other and, it provides storage and access to such data.
- A relational database has rows and columns which record a unique id called the key. The columns in the database hold a record that has a value for each attribute.
- These attributes make it easy to develop the relationship between various databases.
- In relational database there are two types. There are base relations and derived relations. The base relations are which stored and accessed by relation but they also store the data. In derived relations the data is simply evaluated but not stored.
Non-Relational database:
- This database does not have SQL query language but it provides facilities for storage and access data.
- It is mostly used in big data and web applications.
- The prominent non-relational database provided by Azure is the cosmos database.
In-memory database:
- It is also called IMDB or a main memory database system (MMDB). In-memory database depends on the main memory for computer data storage and is faster than disk-optimized databases.
- Developing In-memory database is easier and needs less computer instructions which remove delay for searching while querying the data.
- In-memory provides faster provides faster results by reducing the seek time.
- But the volatile RAM is one of the major issue which happens in times of power loss.
- In-memory is upgraded with the use of non-volatile RAM technology.
- In-memory databases run at high speed and maintain data recovery in the occurrence of power failure.
Azure Database Architecture
Microsoft provides services to support the SQL database with Azure.
- Being an Elastic Pool we can share types of databases whether single or multiple.
- We can migrate our on-premises data center to Microsoft Azure without any complex configuration. It depends on the customer whether they want to shift their databases from on-premises to Azure Cloud with least effort and optimization.
- We can use licensing of the on-premises data center.
- While using Azure cloud for the database storage, Microsoft Azure is responsible for maintaining the data, patch management and providing services
- When the data from on-premises is deployed on Azure cloud, it is replicated for backup purposes.
- There services that are deploy data from on-premises to cloud.
Azure Database services are listed below:
- Migration service: This service behaves as a middleware which is used to transfer the data from on-premises data center to Azure cloud.
- Synchronization: As the data is being sent from on-premises data center to Azure cloud, this service makes sure that the data present on both ends is in a synchronized manner.
- Stretch Database: While transferring the data from on-premises to Azure, the data is divided into two types as hot and cold. The data which is new that is the hot data is kept on-premises and the data which is cold that is he old data is kept on Azure cloud.
- Data Factory: It does transformation, extraction, and loading. When a data is being transferred from on-premises to Azure cloud, it needs some conversion while loading it. Data factory helps with this loading and conversion.
- Security Center: As data is being stored on the cloud, it is the primary concern about security. To keep the data secure there are various measures taken with the help of firewall rules. It can be configured stating what type of traffic can be gain access to such data by restricting IP addresses. This will create limitation and reduce cyber attacks.
- Cosmos DB: It is the SQL data store that is available in Azure. It works with low latency and is highly available.
- Azure Active directory: Authorized person is only provided access to such data with the help of Azure Active Directory.
Also Read: What is Azure Cost Management Savings Plan?
Azure SQL Database:
The data sent over from the on-premises data center is stored and managed at Azure Cloud datacenter.
Microsoft Azure makes sure that there is no loss of data and the data on cloud is always available to the user. With maintaining the data availability they also look after the data security.
Azure datacenter handles various functionality of data while storing it on cloud. Azure manages the bugs and tries to fix it over. In case of failover, it manages the data and finds the cause of a potential hazard. Patch management and replication is also performed at the Azure Datacenter.
There are 3 scenarios for the implementation of SQL database:
Managed Instance:
This scenario depends on the type of service the user needs. If they already have on-premises SQL datacenter but still want to migrate to Azure cloud. But in such a situation they do not want to have minimum changes, compatibility and want to spend less. They can opt for the Manages Instance.
Single Database:
Azure supports multiple databases on the cloud datacenter, but it can also deploy and manage only a single database as well which needs different set of resources.
Elastic Pool:
Multiple databases can be deployed which share same set of resources.
This article provides you with basic information and an overview of the Azure database service and its functionalities.
You can visit our website Microtek Learning to explore all the related courses with Azure SQL services.
We provide you with an enhanced learning environment to upgrade skills for your development.
Check out the courses and connect with us to know more!