SQL database
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Unlock the Benefits of Fabric SQL Database for Transactional Workloads
Fabric SQL Database offers a developer-friendly approach to managing transactional workloads efficiently. With its robust performance capabilities and seamless integration within the Microsoft Fabric ecosystem, developers can unlock new levels of productivity. In this article, we’ll dive into the core benefits of using Fabric SQL Database, explore powerful features that simplify complex tasks, and share practical tips for optimizing performance. Whether you’re a seasoned developer or just starting out, discover how Fabric SQL Database can transform your approach to data management.
Boost Productivity with Databricks CLI: A Comprehensive Guide
Exciting news! The Databricks CLI has undergone a remarkable transformation, becoming a full-blown revolution. Now, it covers all Databricks REST API operations and supports every Databricks authentication type. The best part? Windows users can join in on the exhilarating journey and install the new CLI with Homebrew, just like macOS and Linux users.
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?
Maximize Efficiency with Volumes in Databricks Unity Catalog
With Databricks Unity Catalog’s volumes feature, managing data has become a breeze. Regardless of the format or location, the organization can now effortlessly access and organize its data. This newfound simplicity and organization streamline data management, empowering the company to make better-informed decisions and uncover valuable insights from their data resources.
Data Liberation: Empowering Mankind with Azure OpenAI and Azure SQL
In today’s world of endless information, we are on a mission to set data free. LangChain, in collaboration with Azure OpenAI, has the ability to comprehend and generate text that closely resembles human language. This has the potential to transform the way we analyze data. By combining these technologies, organizations gain the ability to harness data for making thoughtful decisions. Are you tired of poring over endless spreadsheets and databases in search of the information you need? Imagine being able to simply ask a chatbot a question and get instant results from your database. It sounds like science fiction, but with Azure OpenAI and Azure SQL, it’s a reality! In this session, we’ll show you how to unlock the power of conversational AI to make data more accessible and user-friendly.
Microsoft Azure Backup Options: Which One Fits Your Needs Best?
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.
Migrating On-Premises databases to Azure SQL Database: Everything you need you know
Migrating on-premises databases to Azure SQL database is becoming a great option for good scalability, cost savings, and flexibility. However, the migration process can be complex, time-consuming, and pose significant risks if not executed properly. In this article, we will provide you with everything you need to know about migrating on-premises databases to Azure SQL databases. We will discuss the benefits of migrating to Azure SQL and will provide tips and tricks to help you plan and execute a successful migration and to ensure a smooth transition to the cloud.
How to deploy multi-container application to Azure Kubernetes Services?
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.
Designing secure access to Azure Services
This blog discusses Azure security design and consideration for securing access to Azure Services.
Deploying SQL server Always on Availability Group on Azure Kubernetes Services(AKS).
In this blog, we will learn how to deploy the SQL server Always on Availability group on Azure Kubernetes Services.
How to deploy SQL Server containers to a Kubernetes cluster for high availability?
In this blog, we will learn how to deploy the SQL server container on Azure Kubernetes services with High availability. We will use the persistent storage feature of Kubernetes to add resiliency to the solution. In this scenario, if the SQL server instance fails, Kubernetes will automatically re-create it in a new POD and attach it to the persistent volume. It will also provide protection from Node failure by recreating it again. If you are new to Kubernetes we will start by understanding the basic terminology of Kubernetes and its Architecture.
How to Deploy SQL server on Azure Container Services?
In this blog we will learn about Azure container services and how to deploy SQL server 2019 on Azure Container Services.
How to choose Right data distribution strategy for Azure Synapse?
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.