Microsoft Azure Data Warehouse is a cloud platform that allows you to develop and deploy applications and services using compute and storage resources in Microsoft-managed data centers. The platform supports software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS).
Azure Data Warehouse can handle large amounts of relational and non-relational data. It is compatible with SQL Server and local SQL servers can be easily migrated to a SQL data warehouse with similar queries and structures. Clients can scale up, down and out of data warehouse resources instantly.
If you’re not familiar with Microsoft Azure Data Warehouse, read on to better understand.
How Useful Is Microsoft Azure?
Azure is one of the largest cloud providers on the market and is used by many companies across all industries. The most common uses of Azure are:
- Big data analytics
- Cloud storage and computing
- Artificial intelligence and machine learning
- DevOps and continuous improvement and integration pipelines
- Cloud infrastructure for games, enterprise applications, websites and mobile apps.
How Does Microsoft Azure Data Warehouse Work?
Azure Data Warehouse is designed for enterprise data warehouse deployments and stores large amounts of data in Microsoft Azure. It uses MPP to manage analytical queries, enabling the rapid delivery of search results across large data sets. It also uses a single SQL-based view for relational databases and non-relational big data warehouses, enabling organizations to consolidate structured, unstructured and streaming data into a cloud-based data warehouse. Users can manage Azure Data Warehouse using SQL Server Management Studio (SSMS) or write queries using Azure Data Studio (ADS).
Azure Data Warehouse uses PolyBase to route queries to large data warehouses such as Hadoop systems. PolyBase enables organizations to import data into a SQL data warehouse using standard T-SQL queries, providing a single interface for SQL-based queries for all data. Azure Data Warehouse stores data in relational tables using columnar storage type, which reduces data storage costs and improves query performance.
The Azure Data Warehouse uses an extended architecture to distribute data processing across multiple nodes. The Azure SQL Data Warehouse architecture separates compute and storage functions, allowing users to extend the system independently and pay only for processing and storing data that meets business needs.
Storing Files In Azure Data Warehouse
Small, medium and large enterprises are increasingly using the cloud. This is due to the affordability, convenience and speed of the service, making it easier to adopt and use. One of the easiest services to host in the cloud is file storage, for which Microsoft Azure is one of the most efficient and widely used platforms today. Below, we’ll describe the different types of cloud storage and show you how to use them.
Types of cloud file storage
BLOB storage is used to store data:
- Browser files
- Data storage for backup
- Browsing Video, audio and image streams
- Startup storage
Many devices can use BLOB storage:
This file type offers some options for working in the cloud. If you need to sync your cloud files with local servers, you can easily share files via SMB protocol and work efficiently, easily and quickly without a VPN.
The Main Advantages Of This Form Of Storage Are:
- Open access for users
- Manageable capacity
- No server is needed as this storage type acts as a virtual hard disk.
- Direct access without VPN
- Granular backup
Storage On Disk
Disks are managed storage volumes used by virtual machines. Managed disks connect to virtual machines in the same way as physical disks. Disks in the cloud offer a number of advantages:
- Availability domains
- Availability of disk space
- Backup support
- Expansion when necessary
Disks are attached to a virtual machine and contain operating systems; data stores or applications can be added.
The entire hard disk is mounted to protect data against corruption.
The Benefits Of Azure Data Warehouse
Azure offers a high level of scalability. You can quickly create and remove Azure databases as needed.
Azure SQL has a number of security components (row-level security, data masking, encryption, auditing, etc.) Given the cyber threat to data security in the cloud, Azure Data Warehouse components are strong enough to protect data.
Azure Data Warehouse is extremely flexible because it separates the compute and storage components. Computations can be scaled independently. Resources can be added and removed at runtime.
Users can search non-relational sources using PolyBase.
You can easily migrate from SQL Server to Azure SQL and vice versa using Microsoft tools.
Consider Using Azure Data Warehouse With ExistBi
Looking for a way to consolidate data sources across different current environments and cloud types? ExistBi’s Microsoft Azure Fundamentals course provides participants with the skills needed to take advantage of the ever-expanding range of cloud services in the Microsoft Azure platform. The benefits of integrating Azure Data Warehouse with ExistBi include:
- Seamless data mobility between on-premises, public and private cloud environments to create a true hybrid cloud.
- High levels of data compression, thin provisioning and reduplication.
- Enhanced data security and disaster recovery with snapshots and high-availability clustered storage.
The conclusion is that an organization can take advantage of the cloud and store data securely using different storage types. Today, the cloud is increasingly available as a comprehensive, reliable, fast and easy-to-use solution. These solutions are available over the Internet from anywhere in the world. Whatever your business, you can find the perfect solution.
When it comes to cloud data warehouse, you don’t want to be left behind. It’s more than a trend – it’s a solution. So it’s no wonder more and more businesses are switching to Azure Data Warehouse. We hope this article helps you understand and make sure it’s the right solution for your business needs.