- Empower Data Analysis with Materialized Views in Databricks SQL
Imagine a world where your data is always ready for analysis, with complex queries stored in an optimized format. However, this process consumes a significant amount of time. Now, there’s no need to wait; experience high-speed and efficient data handling. This is what materialized views can bring to your data analysis workflow. Materialized views offer a solution. Would you like to uncover the revolutionary power of materialized views in the world of data analysis?
Are you struggling to find the information you need to be buried deep within unstructured documents? It’s time to unleash the power of Azure OpenAI and Service Embedding! In this blog post, we’ll show you how to harness the latest advancements in AI and cloud-based services to transform your unstructured document search.
Businesses are grappling with a massive influx of data and diverse technologies, making it challenging to streamline operations and extract valuable insights. Recognizing these hurdles, Microsoft has developed a groundbreaking solution: Microsoft Fabric.
The Internet of Things (IoT) has revolutionized the way we interact with the physical world, creating vast opportunities for businesses across various industries. As IoT devices continue to proliferate, the need for robust connectivity, efficient data management, and seamless integration becomes paramount.
In a world where artificial intelligence is reshaping industries and transforming the way we live, Azure OpenAI stands at the forefront, embodying the boundless possibilities of this futuristic technology. But what does Azure OpenAI truly represent? It is an exciting combination of Microsoft’s cloud infrastructure with OpenAI’s state-of-the-art AI models, creating a fusion of innovation and intelligence. With a single question, Azure OpenAI can delve into vast amounts of data, make predictions, understand human language, and even generate human-like text—all at an excellent scale. Join our journey in Mastering Azure OpenAI Service to uncover the secret of prompt engineering and learn the potential of Azure OpenAI services. Furthermore, as we conclude this article, we will provide you with a quick guide on how to create your own AI Service using OpenAI. This straightforward guide will assist you in setting up your personal AI Service, empowering you to delve into the world of AI with ease and confidence.
The process of developing and deploying applications is complex, time-consuming, and often error-prone. The use of release pipelines helps to streamline this process and automate the deployment of code and data. Databricks is a popular cloud-based platform used for data engineering, data science, and machine learning tasks. Azure DevOps is a powerful tool for managing the entire software development lifecycle, including build and release management. In the blog “Streamline Databricks Workflows with Azure DevOps Release Pipelines”, we will explore how to build release pipelines for Databricks using Azure DevOps. We will look at the steps required to set up a pipeline for Databricks. By the end of this post, you will have a good understanding of how to build efficient and reliable release pipelines for Databricks using Azure DevOps.
In today’s increasingly connected world, businesses of all sizes rely on cloud computing to store, process, and analyze their data. As a result, ensuring seamless connectivity between different regions and subscriptions within the cloud infrastructure is critical. One of the most effective ways to achieve this is by configuring Virtual Network Gateway (VNG) connections. However, setting up VNG connections across different regions and subscriptions can be a complex and daunting task for even the most experienced IT professionals. In the blog post “Configuring Virtual Network Gateway Connections Across Regions and Subscriptions”, we’ll learn to configure VNG connections in Azure to enhance network performance and strengthen security.
Data is the backbone of modern businesses, and processing it efficiently is critical for success. However, as data projects grow in complexity, managing code changes and deployments becomes increasingly difficult. That’s where Continuous Integration and Continuous Delivery (CI/CD) come in. By automating the code deployment process, you can streamline your data pipelines, reduce errors, and improve efficiency. If you’re using Azure DevOps to implement CI/CD on Azure Databricks, you’re in the right place. In this blog, we’ll show you how to set up CI/CD on Azure Databricks using Azure DevOps to improve efficiency, maximize collaboration and productivity, and unlock your team’s full potential and produce better results. Let’s get started!
Managing resources in the cloud can be a challenging task, especially when it comes to organizing and grouping your resources effectively. Azure tags are an essential part of Azure resource management, allowing for easy identification and grouping of resources. However, applying tags to multiple resources across different subscriptions can be daunting, especially if you’re doing it manually. If you’re looking for a scalable and configurable solution to manage resource tags across multiple Azure subscriptions, then this blog post is for you! In this article, “Scaling Resource Tagging in Azure: A Configurable Solution for Multiple Subscriptions and Tags” we’ll introduce you to an approach that enables technical architects and developers to reliably tag resources in Microsoft’s cloud computing platform using configuration as code settings. This approach facilitates resource tagging consistency within an organization’s Azure tenant, allowing IT administrators to define and update their services through custom configurations that are easy to set up, audit, scale out when needed, and maintain over time without additional help.
Microsoft Azure offers a range of services and solutions for various scenarios and needs. One of the essential aspects of any cloud service is the ability to back up and restore data and applications in case of any failure, disaster, or human error. Azure provides several backup options for different types of resources, such as virtual machines, databases, files, blobs, and web apps. The article “Microsoft Azure Backup Options: Which One Fits Your Needs Best?” will give you exposure to some of the backup options available in Azure and how they can help you protect your data and applications.
Are you tired of spending hours on routine tasks in Azure? As a system administrator or developer, you know that time is precious. But what if we told you that there’s a superhero that can save you time and effort? That’s right – we’re talking about PowerShell workflow automation in Azure! With just a few lines of code, you can streamline your tasks, deploy and manage resources, and monitor performance. And the best part? We’re here to share some insider tips, tricks, and scripts that will help you unleash the power of PowerShell automation in Azure. So get ready to supercharge your workflow and say goodbye to tedious tasks!
As more businesses shift their operations to the cloud, keeping a close eye on the performance and reliability of their applications becomes increasingly important. This is where monitoring and alerting come into play, and in this article, we’ll take a closer look at how they can be used in Azure to ensure that your applications and services are operating smoothly. Whether you’re an experienced Azure user or just starting out, you’ll find plenty of valuable information here on the best tools and techniques for monitoring and alerting in Azure. With these tools at your disposal, you can keep your applications running smoothly 24/7, ensuring that your business stays ahead of the game.
In today’s digital world, storing data has become an essential requirement for businesses and individuals alike. With an array of options available, choosing the right storage solution can be overwhelming. Three popular storage options are Azure Blob Storage, File Storage, and Disk Storage, each with its unique features and benefits. But which one is right for you? This question can be a challenging one to answer but fear not. In this article, we’ll explore the differences between Azure Blob Storage, File Storage, and Disk Storage, helping you make an informed decision based on your storage needs. So let’s dive in and find the perfect storage solution for you.
As many companies have moved their database and sensitive information to the cloud, it is important to have a solid understanding of how data flows in and out of your cloud environment. In Microsoft Azure, managing inbound and outbound traffic is an important aspect of ensuring optimal performance, security and cost-effectiveness.
Do you have a big data workload that needs to be managed efficiently and effectively? Are the current SQL workflows falling short? Writing robust Databricks SQL workflows is key to get the most out of your data and ensure maximum efficiency. Getting started with writing these powerful workflow can appear daunting, but it doesn’t have to be. This blog post will provide an introduction into leveraging the capabilities of Databricks SQL in your workflow and equip you with best practices for developing powerful Databricks SQL workflows
If you want to develop an Intelligent chatbot in Azure Bot Service, then this blog is for you. In this Azure AI Chatbot Tutorial, we will learn how to integrate Natural Language Processing Capabilities in the chatbot. Some good chatbot use cases can revolutionize the way we do business. If you are new to Azure AI concepts then you will learn complex concepts like intents, Utterances, Entities, and their use in Chatbot. In this blog, we will not only learn how to develop a chatbot but also how to make it more intelligent. We will explore how an intelligent chatbot can authenticate against Azure and execute the commands remotely.
In this blog, I have discussed how to implement lineage, insights (reporting), and monitoring capabilities in Microsoft Purview.
First, we will understand what Lineage is and why it is important. Then, we will understand Purview’s insights capabilities and how purview provides the unique capabilities of reporting for Assets, Scans, Glossary, classification, and Sensitivity Labels.
Finally, we will gain knowledge on why it is important to monitor the purview environment and how to monitor it based on best practices.
Azure Kubernetes Services is the fastest way to use Kubernetes on Azure. Azure Kubernetes Service (AKS) manages the hosted Kubernetes environment, making it easy to deploy and manage containerized applications without requiring any container orchestration expertise. It also improves the agility, scalability, and availability of your containerized workloads. Azure DevOps streamlines AKS operations by providing continuous build and deployment capabilities.
In this blog, we will use Azure DevOps to deploy a containerized ASP.NET Core web application to an AKS cluster. The steps used in this blog can be used to deploy any application to AKS. The entire end-to-end demo is available in the video link provided in the blog.
When you want to develop and implement the container application in Azure. The first and foremost step you would execute is to build the images and push them into the Azure Container registry. In this article, I will explain how to achieve this objective.
In any large-scale implementation of AKS (Azure Kubernetes Services), we need to use an image repository to store container images securely. So whenever you want to deploy the images on the Kubernetes cluster you will deploy the images stored in the image repository. In this article, we will learn how to integrate the Azure-based image repository called Azure Container Registry(ACR) with Azure Kubernetes Services(AKS) in the most simple manner.
When it comes to DevOps Docker is an integral part of it. Nowadays no development can be done without the help of docker. In this article, we will discuss how can we use Azure DevOps Pipeline to build and push images to the Azure container registry.
This blog discusses Azure security design and consideration for securing access to Azure Services.
In this blog, we will discuss how to troubleshoot the user-defined route in Azure. I have faced this issue in one of my projects. Typically when you want to test the traffic from a specific VM you will have to log in to the VM and see the output of the Traceroute command and it becomes cumbersome if you have so many routes because now you have to log in to each VM to verify whether the routes are working correctly or not. Another problem is that even if the routes are not working traceroute will not show why it is not working. So if you do not know why routes are not working you can not fix anything. To overcome this issue I wrote a small script that can be used as it is by changing the parameters and it will display the connectivity status (success or failure) if there is an issue then this script will also show what is causing that issue.
Recently I have come across a requirement to design the Azure landing zone for a customer who wants to migrate their workloads from on-premise to Azure. This article explains the best practices implemented in Azure landing zone design.
In this blog post, we will learn how to automate Azure workloads with Ansible. We will do the end-to-end automation for Azure virtual machine.
Suppose you built a large environment in Azure with more than 1000 Virtual machines. Now we need to provide the Virtual Machine details to the customer(or raise the SNOW ticket) and it is very difficult to collect each VM detail manually from Azure Portal. Also, there can be another use case if you want to verify the VMs to compare with each other to ensure all the VMs are created the same way. For example, the Cache setting for all the VMs should be Read /Write. You may also want to grab details of all the data disks and OS disks and their size, name info, and cache settings. This script grabs all the info in one shot and exports it into a CSV file for further manipulation.Let’s dive in.
In this blog we will learn about Azure container services and how to deploy SQL server 2019 on Azure Container Services.
Azure Synapse (Azure SQL Data Warehouse) is a massively parallel processing (MPP) database system. The data within each synapse instance is spread across 60 underlying databases. These 60 databases are referred to as “distributions”. As the data is distributed, there is a need to organize the data in a way that makes querying faster and more efficient.In this blog we will learn how to choose the right distribution strategy.
In this blog, we will discuss a real-time scenario of deploying software on multiple Linux and Windows Virtual machines simultaneously. Suppose you have 500 virtual machines both Windows and Linux and you want to push the software to these virtual machines. Obviously, it is not a workable solution to perform the manual installation on these 500 VMs. But there is good news that Azure provides a custom script extension for remote command execution. Let’s learn how to use it?
In this blog, I will share the script to retrieve the Azure resources inside the Azure subscription. This script iterates through each resource group inside an Azure subscription and retrieves each resource name resource type and resource tag and dumps the information inside a CSV file. So let’s dive in.
This blog discusses the step by step approach to mount the storage account to Azure Databricks.
In this blog, we will learn how Azure manages network traffic by using system routes and user-defined routes. Let’s dive in.
In this blog, we will learn how to set up and configure the Azure load balancer in the quickest possible way and test some Azure features. We will develop an Azure CLI script for the same. I have also created a video to showcase the Azure Load balancer functionality.
In this blog, we will go thru the step-by-step instructions to host Python Flask APIs in the Apache Web server.
In this post, we will go thru step by step instructions for Apache Web server installation. After Apache Server Installation we will create an SSL certificate creation request to generate the certificates from Certificate Authority and then deploy the SSL certificates on Apache Web Server. We will also learn how to modify browser settings to make the certificate works in case the site is accessed from outside the corporate intranet where Root certificates are not installed on the machine.
A common concern with resources provisioned in Azure is that the ease with which they can be deleted. A careless administrator can accidentally erase months of work with a few wrong clicks. Azure Resource manager locks can help here. Let’s learn how?
Power BI service allows connectivity thru PowerBI Gateway in case you do not want to expose the on-premise data sources. Power BI Gateway can be installed on a server /VM deployed in the on-premise environment. Now If you deploy the Enterprise gateway in the On-Premise network your network team may not be happy and they will not open the firewall to expose the Enterprise Gateway to connect to the Internet. But do not worry and here is the good news, in order for the Enterprise gateway to function properly it requires certain ports to be open. Let’s learn how to configure the environment so it is secure.
I have published my last blog to describe to PowerShell script to register the App in the Azure AD, In this blog, we will discuss the PowerShell script to assign the necessary permissions for the App.
Recently I came across a situation where I was supposed to register an App in Azure Ad for multiple Environments, I felt it to be very cumbersome to do it using the Azure UI interface so I thought to create a script for it.
Point-to-site connectivity is the recommended way to connect to the Azure Virtual network from a remote location for example while traveling or working from the home office. In this blog post, we will learn how to set up Point-to-site connectivity.
In this blog post, we will learn the various options which Azure provides for establishing connections between On-premise to the Azure data center.