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Azure Blob Storage in C#
Azure Blob Storage is a highly scalable cloud storage solution in Azure, facilitating the management of unstructured data. Using C# and the Azure.Storage.Blobs package, developers can efficiently perform operations such as creating containers, uploading and downloading blobs, listing blobs, and accessing blob metadata. This integration empowers applications to seamlessly utilize cloud-based storage capabilities.
Bot Framework Composer
Building an AQI (Air Quality Index) bot with Microsoft Bot Framework Composer with little to no coding. With the basic installation of Node.js and .NET SDK.
Built-in Roles in Azure Synapse Analytics Workspace
Azure Synapse Analytics provides a range of built-in roles to manage access to Synapse resources, allowing administrators to control user and application actions within a workspace.
CRUD Stored Procedures in Azure Cosmos DB
In this article, we will learn how to create the stored procedures in the Azure Cosmos DB for inserting, reading, updating, and deleting the Azure Cosmos DB collection items.
How To Upload Files Into Azure Blob Storage Using Azure Functions In C#
Step by step tutorial to upload files into Azure Blob Storage using Azure functions in C#
Applying Chain-of-Thought with Azure OpenAI Prompt Engineering in Python
Up until now, we've explored Zero-Shot and Few-Shot Prompting. In this article, we'll delve into Chain-of-Thought Prompting.
Resource URI (Unique Resource Identifier) details of Common Microsoft Resources in Entra ID
Resource URI (Unique Resource Identifier) details of Common Microsoft Resources in Entra ID.
Applying Zero-Shot Prompting with Azure OpenAI Prompt Engineering in Python
This article introduces prompt engineering and its implementation using Azure OpenAI in Python.
Networking Components in Microsoft Azure
Learn about Azure networking services, including Virtual Network, Load Balancer, DNS, ExpressRoute, VPN Gateway, and Azure Firewall, with a closer look at VNet capabilities.
Identifying the Count of Activities within a Pipeline in an Azure Data Factory
Counting Activities in Azure Data Factory Pipelines involves the process of determining the number of distinct activities or operations within a pipeline created in Microsoft's Azure Data Factory. This task is essential for monitoring and optimizing data workflows and ETL processes. By accurately identifying and analyzing the count of activities, data engineers and developers can assess the complexity of data pipelines, diagnose performance issues, and make informed decisions to enhance efficiency and streamline data management within the Azure environment. This knowledge contributes to more effective data processing and ensures the smooth operation of data-driven solutions.
How To integrate An Azure Storage Account With Azure Active Directory
To integrate an Azure Storage Account with Azure Active Directory, you can use Azure AD authentication for your storage resources. This allows you to control access, implement role-based access control (RBAC), and monitor activities for your storage account within the Azure portal. By doing so, you enhance the security posture of your storage resources and simplify user access management.
How To Activate Eligible Membership To A Privileged (PIM) Group?
This article provides instructions on how to activate one’s eligible membership to a privileged (PIM) group.
Conversational Understanding Model with MS Azure
Building a conversational understanding model with MS Azure
Converse with your data using your own ChatGPT with Azure OpenAI Service
Data is everywhere. It is the fuel that powers our businesses, our research, our innovation, and our lives. But data is also complex, diverse, and often unstructured. Azure OpenAI Service emerges as a game-changer in this realm, offering a transformative approach to data interaction by enabling users to converse with their data in natural language.
Exploring Patterns in Azure Durable Functions
This article explains the patterns of azure durable functions.
Building Modern Cloud Apps With Microsoft .NET And Azure
Cloud computing has transformed the landscape of software development and deployment. Traditional software development often involved building applications that ran on local servers or personal computers. However, the advent of cloud computing has revolutionized this approach by enabling developers to create, host, and manage applications on remote servers, accessible over the internet.
Overcoming Limitations of Get Metadata Activity in Azure Data Factory / Synapse
Use Web Activity and the Azure Blob Storage REST API to retrieve file properties, including creation time and content type, beyond Get Metadata Activity limits in Azure Data Factory and Synapse.
Merge Multiple JSON files via Synapse / Data Factory Pipelines
Merge Multiple JSON files via Synapse/Data Factory Pipelines
Learn Azure Service Bus Queues
The topic of the Service Bus Queue Trigger will be covered in this article.
Skip/Notify Processing of Empty files via Azure Data Factory/Synapse
Skip / Notify Processing of Empty files via Azure Data Factory / Synapse
Azure Landing Zone Review Assessment
Learn how the Azure Landing Zone Review assessment evaluates cloud adoption readiness across governance, security, networking, identity, operations, and migration.
Cleansing Files of Duplicate records via Azure Data Factory / Synapse
Cleansing Files of Duplicate records via Azure Data Factory / Synapse - Part 1
Implementing DATEDIFF Function In Data Factory / Synapse Via Pipeline Expressions
Implementing DATEDIFF function in Data Factory / Synapse via Pipeline ExpressionsImplementing the DATEDIFF function in Azure Data Factory or Azure Synapse Analytics using pipeline expressions allows you to calculate the difference between two dates and times. This can be helpful for various data integration and transformation tasks, such as calculating the age of records, measuring time intervals, or scheduling data pipelines based on date differences.
Kusto Query Language (KQL) for Azure IoT
Kusto Query Language (KQL) empowers Azure IoT projects with real-time data analysis, flexible exploration, aggregation, and seamless Azure service integration. It's pivotal in extracting insights from IoT data streams.
Budgeting for Azure IoT Solutions
Azure IoT, part of Microsoft's cloud ecosystem, offers robust tools and services for IoT solutions. It enables secure device connections, data collection, and insights. In this article, we explore budgeting for IoT projects with Azure IoT, vital for cost-effective IoT implementation.
Real-Time Insights with Azure Stream Analytics in IoT Projects
Azure Stream Analytics is a Microsoft Azure service for real-time data stream processing. It enables the ingestion, processing, and analysis of streaming data from various sources, such as IoT devices, sensors, and social media. By continuously processing data as it arrives, Stream Analytics provides immediate insights, facilitating quick decision-making and actions.
WSL & Let's Encrypt for Azure App Service SSL Wildcard Certificates
Learn how to use the Windows Subsystem for Linux (WSL) and the Let's Encrypt certificate authority to automate the issuance and renewal of free wildcard SSL certificates for Azure App Service. Leverage Certbot on WSL to obtain certificates and configure Azure apps to use them securely over HTTPS while scheduling automatic renewals to keep certificates always up to date at no ongoing cost.
Auto Cancel Long Running Pipelines in Synapse / Azure Data Factory
Auto Cancel Long Running Pipelines within Synapse / Azure Data Factory
How to Use Key Vault in Azure?
Learn how to create an Azure Key Vault, store and manage keys and secrets, grant application access through Azure Active Directory, and rotate storage access keys.
