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Three Steps to NoSQL and Cloud Databases

Basically NoSQL  – Pressure from specialist departments to replace cumbersome relational databases. And also with NoSQL and more flexible cloud databases is growing. Also a simple migration scheme eases the transition.

“Never modify a running database.” And also this golden rule of database administration is becoming increasingly obsolete. And also new business models require new applications. Also they need agile, highly scalable, and available databases. Also that can seamlessly integrate into containerized cloud technologies and edge computing.

And also e-commerce portal can hardly work with a purely relational database management system ( DBMS ). And also the rigid table structure of relational SQL databases and transaction-oriented linking prevents the necessary flexibility. Also the increasing use of microservices, with which SQL databases are incompatible, argues for modern NoSQL databases. And not to mention the many automation features that simplify installation and operation.

And also NoSQL and cloud databases, there is an inevitable confusion of terms for cloud databases. On the one hand. Also that its describes a new type of database, usually offeR and hosted by hyperscalers. And on the other hand. And also it represents a general model for providing cloud services (DBaaS) databases.

Also cloud databases can scale and support big data and microservices like NoSQL databases. Also however, cloud agnostics are not part of the directory. And also as they are usually tense to a specific vendor.

The Beginning of the Transition

On the other hand, NoSQL databases can operate independently on any private or public cloud. And also demonstrate their advantages over conventional relational databases there. However, this prerequisite is to comply with automation level 5 (full automation). Also it defined as the highest level in the operator framework.

Also the requirements listed there include the ability for one-way and two-way replication across multiple data centres or regions. And also the database is cloud and infrastructure independent and independent of cloud platforms. Also such as AWS, Google Cloud or Microsoft Azure and all other deployment models.

And hyper scalers cited the ability to easily migrate. Also NoSQL databases to their clouds with standardized processes, migration tools, and detailed documentation. And also a public cloud’s pre-configured networks and firewalls also eliminate the conflicts that often arise with private clouds.

Also Read: Amber Kinetics has the Kinetic Energy Storage Solution (KEES) of the Future

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relational databases

Web 2.0

big data

real-time web




horizontal scaling  clusters of machines


object-relational impedance mismatch.

key–value pair

wide column



CAP theorem)



eventual consistency

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