In this exercise, you use postman to hit the demo application(storefront) APIs which are written using the Python Django REST framework. For this exercise, I have used Azure Cloud Service and a similar methodology can be followed for AWS. Prerequisites You have to complete hop1 Azure and hop2 Azure Why…
Microsoft Azure – Machine Learning
This is post – 3 of the Machine Learning services – AWS vs Azure. This post contains hands-on on creating a workspace, importing data, testing and training the model in Azure. Run your notebook: Sign into Machine Learning Studio. Select your workspace, if it isn’t already open. On the left,…
Trust Management in cloud computing systems.
DataCentre TCP
Azure: Migrate Blob via C#
Goal: In this blob post, we will be diving into the world of Azure Development in C#. To get you used to using Azure’s C# but still keeping your in familiar territory, we will be implementing a quick program to Migrate blobs from one container to the another! The goal…
Making .sh file in AWS CloudShell
What is AWS CloudShell? AWS CloudShell is an easy-to-use cloud computing service to deploy and manage your other cloud services inside of a CLI (Command Line Interface). It is an effective way to manage your AWS cloud applications and infrastructure in a large-scale environment. CloudShell helps to streamline the process…
Retrieving Tweets from Twitter using Azure Functions
Twitter has become a very important social media site for society and the data it holds i.e., tweets is of immense importance for both academics and professionals. There are open and paid twitter datasets available for researchers and professional for their use case. But more often one might need tweets…
Deploying pretrained machine learning model via AWS SageMaker
AWS SageMaker is Amazon’s cloud offering to create, train and deploy machine learning models at scale in the cloud. With SageMaker it also becomes easy to make these processes automated so that the developers can utilize. While training a machine learning, ML, model might be ideal to tailor it one’s…
Amazon Web Services – SageMaker
This is the post – 2 of the Machine Learning services – AWS vs Azure. This post contains hands-on on creating a workspace, importing data, testing and training the model in AWS. Steps to initialize notebook instance in SageMaker: Login to AWS Console using AWS Credentials. In the left panel,…
Scheduling Amazon Athena Query using AWS Lambda, EventBridge, and Boto3
How to schedule AWS Athena queries using Amazon EventBridge, AWS Lambda, and Boto3 by AWS Python SDK