Tuhin Paul's contributions

Serverless computing is a cloud computing model in which the cloud provider dynamically manages the allocation and provisioning of computing resources. In serverless computing, the cloud provider is responsible for managing the underlying infrastructure, including the servers and operating systems, while the developer is only responsible for writing and deploying code.

Real-time data processing involves analyzing and processing data as it is generated or received, without any delay. This approach is crucial in industries where timely decisions need to be made based on real-time data, such as finance, healthcare, transportation, and manufacturing.

OCR technology is an incredibly powerful tool that enables organizations to extract valuable data from a range of image formats. Cloud providers such as Azure, Amazon, and GCP are leveraging OCR technology to provide robust and customizable OCR solutions for their customers.

Amazon SageMaker, Azure Machine Learning, and Google Cloud AI Platform are all powerful cloud-based machine learning platforms that provide developers with a wide range of tools to build, train, and deploy machine learning models at scale.

Azure Sentinel, Google Cloud SCC, and Amazon Security Hub are all effective SIEM solutions that provide centralized security monitoring and threat detection across multiple cloud environments.

Azure Cognitive Services, Google Cloud AI Platform, and Amazon Web Services (AWS) offer a range of artificial intelligence and machine learning services that can be used to build intelligent applications.

Cloud managed NoSQL database services provide scalable, highly available, and globally distributed database solutions for modern applications. Organizations can choose the solution that best fits their needs based on their specific use cases and requirements.

Azure MFA and Google Cloud IAP are effective tools for adding an extra layer of security to user accounts and protecting against unauthorized access.

SQL Server 2022, the latest version of Microsoft's popular relational database management system, comes with significant improvements to the performance of Tempdb.

Azure Sentinel is a cloud-native Security Information and Event Management (SIEM) solution offered by Microsoft. It is designed to provide organizations with a comprehensive security solution that can help them to detect, prevent, and respond to security threats in real-time.

Azure Cosmos DB provides a powerful platform for data transformations at scale. By using features such as Change Feed, Stored Procedures, and Azure Functions, businesses can transform data quickly and accurately.

Recurrent neural networks (RNNs) are a type of neural network that is particularly good at processing sequential data, such as time-series data or natural language.

IEnumerable and IQueryable are two of the most commonly used interfaces in .NET for dealing with collections of data. While both of these interfaces provide a way to access collections of data, they differ in their implementation and usage, as well as in their memory usage.

Active Directory (AD) is a Microsoft technology used to manage and organize users, computers, and other resources in a networked environment. In this article, we will discuss the basic concepts of Active Directory and its different types. We will also explore the differences between Azure AD and on-premises AD, and dive into multi-tenant Azure AD, Azure AD B2B, Azure AD B2C, Azure AD Graph API, and the different licensing options available for Azure AD.

Session replay attacks are a type of web application attack where an attacker records a user's interactions with a website or web application, including login credentials, and then replays them to impersonate the user.