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Database In Cloud

Database In Cloud – Cloud is about how you work on your computer, not where you work on your computer Paul Maritz, CEO of VMware

In my previous article link, I explored the database evolution from RDBMS SQL to NoSQL in the Big Data era. The goal of this article is to explore the journey of databases from On Premise to the Cloud.

Database In Cloud

As long as we have data, there is a need to store that data somewhere. Therefore, we have constantly evolving databases and data management systems. In the current trend, we can notice that databases are increasingly moving to the cloud.

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According to Gartner’s prediction, 80 percent of new databases will be deployed in the cloud rather than on-premise infrastructure, as more companies use databases for analytics and follow the SaaS model to achieve this.

The sheer volume of data that companies need to store, as well as the need to use that data to gain insights and solve business problems, has led companies to change their On Premise approach to the Cloud. Use cases like analytics (machine learning or artificial intelligence) that use the cloud to host data are considered simpler and more cost-effective than building multiple on-premise data center infrastructures to effectively support this need.

According to the Gartner blog post “https://blogs.gartner.com/adam-ronthal/2019/06/23/future-database-management-systems-cloud/”, the cloud is now the default data management platform. The growth of database management systems (DBMS) is happening more on the cloud service side than on the traditional “on premise” side. The move toward using cloud-based DBMS services may be related to an organizational shift toward using software-as-a-service applications, Gartner said. Another reason for switching may be the price offered by cloud service providers, versus the initial capital costs of implementing an on-premises DBMS.

The term “Cloud” refers to an actual physical data center (servers and data warehouses) that can be accessed via the Internet. A cloud database is a collection of structured or unstructured information. A cloud database can reside on a private, public, or hybrid cloud computing infrastructure platform. Cloud computing is the delivery of computer services via the cloud (Internet). Cloud Computing consists of servers, networks, storage, databases, analytical tools, software and programming platforms. Cloud computing service can be divided into IaaS, PaaS, SaaS.

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An on-premises database runs on hardware that your organization owns and maintains itself. The local database is connected to local users via the organization’s internal local area network (LAN). Cloud databases reside on servers and storage provided by a cloud provider that is accessed over the Internet.

To an application, a SQL database hosted locally or in the cloud may appear identical. However, there may be a slight difference in response time. A local database, accessed via a LAN, is likely to provide a slightly faster response than a cloud-based database, which requires a round trip on the Internet for each interaction with the database.

Public cloud: The most common way to implement cloud computing. Cloud resources such as servers and storage are owned and operated by a third-party cloud service provider and delivered over the Internet. Microsoft Azure is an example of a public cloud. With a public cloud, all hardware, software, and other supporting infrastructure is owned and operated by the cloud provider. A public cloud shares the same hardware, storage, and network devices with other organizations. Access the Services and manage your account using a web browser. Public cloud applications are often used to provide web-based email, online office applications, storage, and test and development environments.

Private cloud: Consists of computing resources that are used exclusively by one company or organization. A private cloud can be physically located in your organization’s on-site data center or hosted by a third-party service provider. Services and infrastructure are always maintained on a private network, with hardware and software dedicated exclusively to that particular organization. For example, government agencies, financial institutions.

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Hybrid cloud: combines on-premise infrastructure or private cloud with public cloud so organizations can have the benefits of both. In a hybrid cloud, data and applications can move between private and public clouds for greater flexibility and more deployment options. For example, they may use a public cloud for high-volume, lower security needs like web-based email and a private cloud for sensitive, business-critical operations like financial reporting.

Current computing infrastructure provided and managed over the Internet. It scales up and down quickly with demand, allowing users to pay only for what they use. It helps avoid the cost and complexity of purchasing and managing your own physical servers and other data center infrastructure. Each resource is offered as a separate service component and a specific resource must be rented for as long as needed.

It’s a complete cloud development and deployment environment, with resources that enable you to deliver everything from simple cloud-based applications to sophisticated cloud-enabled business applications. We can purchase the resources we need from cloud service providers on a pay-as-you-go basis and access them through a secure Internet connection.

It allows users to connect and use cloud-based applications over the Internet. For example, emails, Microsoft Office 365. It provides a complete software solution that we purchase on a pay-as-you-go basis from cloud service providers. We rent the use of the application to the organization and users connect via the Internet through a web browser.

Get Started With Oracle Cloud Infrastructure Database Management

Traditional relational databases are highly structured databases consisting of normalized tables of data that are linked together by primary/foreign keys and queried using SQL.

NoSQL is a distributed and non-relational database. Suitable for use cases where the data is unstructured and the format is unknown, for example social media, real-time streaming systems, etc. When managing huge amount of unstructured data like text data, social media data, user survey data, we need NoSQL database because this information is unorganized data in nature which is not schema defined, therefore it cannot be stored in RDBMS.

The traditional database environment model: the database runs on IT department infrastructure with a virtual machine. The tasks of monitoring and managing the database fall to the organization’s IT staff.

Database as a Service (DBaaS): This is a fee-based model/service where the database runs on the physical infrastructure of the service provider. The provider maintains the physical infrastructure and the database, and the user manages the content and operation of the database. This is more like a PaaS.

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· RDS for SQL Databases is a SQL database service that provides a wide range of SQL database options to choose from:

· DynamoDB for NoSQL Databases is a NoSQL database service. DynamoDB does not provide other NoSQL software options, but it is very similar to MongoDB, Cassandra DB, Oracle NoSQL

AWS also offers data caching…ElastiCache is a data caching service used to improve the speed/performance of web applications running on AWS and data storage…Redshift is a data warehouse database service designed to handle petabytes of data for analysis.

A) Amazon Relational Database Service (Amazon RDS) for Oracle which is a managed database service à provision and management of Oracle Database

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B) Running a self-managed Oracle database directly on Amazon EC2 (Amazon Elastic Compute Cloud (EC2) is part of the Amazon.com cloud computing platform).

· Azure SQL Database: IaaS…SQL server on Azure virtual machines, pay as you go. PaaS…Fully Managed SQL Database Engine. Available as a single database, elastic pool and managed instances

· Azure Database Migration Service: Enables seamless migration from multiple database sources to Azure data platforms with minimal downtime.

When considering migrating a database to the cloud, the primary business rationale is to look at lower maintenance costs. Migrating to the cloud frees organizations from the operational costs of installing, maintaining, updating, patching and retiring databases in addition to administration overhead.

Five Risks Of Moving Your Database To The Cloud

Database migration to a cloud service is generally driven by business use cases. For example, as part of an organization’s digital transformation journey, an on-premises application service may be re-architected. Other scenarios could be: (a) High traffic flow for the application (b) Rapid application deployment and deployment © It becomes expensive to manage growing database requirements on premises (d) What if the data center goes down due to unforeseen circumstances.

A cloud service that hosts MySQL, SQL Server, or PostgreSQL or offers them as a database-as-a-service: Have a significant amount of data, have no server and database maintenance team, and require a reasonable amount of security. The data is mostly static and well defined.

In case of small amount of data, have internal experience, where the data is used mainly for internal processes, then MariaDB, SQL Server Express if the schema is fixed or MongoDB locally if the schema is not fixed and flexibility is needed.

When handling millions of rows in several tables, containing sensitive data and performance and security, the main concern is then (1) Azure Database (2) If analytics then Google BigQuery/Amazon Redshift (3) For flexible schema Amazon DocumentDB/Azure CosmosDB .

The Journey Of Database From On Premise To Cloud

At the beginning of this journey: Some key questions we need to answer: Why are we doing this? What do we want to achieve by migrating the database to the cloud? Is it economical or flexible to run applications on a cloud platform? What

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