Data Visualization: As the name suggests, it basically refers to the process of writing queries and deriving the data by its medium, rather than coding everything bit by bit.We can define multiple patterns clubbed together for accessing data present on the dataset. Data Modeling: Workbench enables us with the facility to build new data models right from scratch or even by using existing data models.Basically, the workbench is an IDE platform that includes data modeling, data visualization, and operation building.
It allows its users to test their data models over a large number of aspects of functionality and it also allows us to develop our software right from the scratch with a lesser amount of effort. NoSQL Workbench is nothing but a virtual development as well as a testing environment for developers anywhere in the world. NoSQL is basically a nonrelational database, with numerous other extra advantages too. This article intends to introduce you to the basics of NoSQL Workbench.
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AWS RDS - Launching RDS Database Instance for Free.Amazon Web Services - Global Accelerator.Introduction to AWS Elastic Block Store(EBS).Connecting an AWS EC2 Instance of a Private Subnet using Bastion Host.Amazon DynamoDB - Logging & Monitoring DynamoDB.Amazon Web Services - Configuring Amazon S3 Event Notifications.Create Bucket Policy in AWS S3 Bucket with Python.Amazon RDS - Exporting DB Snapshot Data to Amazon S3.Amazon RDS - Introduction to Amazon Relational Database System.How to Provide the Static IP to a Docker Container?.AWS DynamoDB - Working with Items & Attributes.Simple Notification Service (SNS) in AWS.How to Set Up Apache Web Server in AWS EC2 Linux (Ubuntu) Instance?.AWS DynamoDB - Query the Global Secondary Index.
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