![]() ![]() Reasons to choose Microsoft Azure Data WarehouseĪzure is an enterprise-level SQL data warehouse that extends the SQL Server family of products and services by increasing the massive scale APS (Analytics Platform System) into the cloud. This service allows the control compute nodes to communicate, process and transfer data to all of the nodes. These nodes receive a command, the architecture breaks the data into pieces for each node, and all these compute nodes operate over their relevant data.ĭata Movement Service: The is the last component required for holding everything together in the data warehouse. When data is loaded into a SQL data warehouse, it will be distributed across the nodes of the service. The job of these compute nodes is to serve as the computing power of the service. Its limitless storage ability allows you to automatically scale storage, and expand transparently without computation.Ĭompute Nodes: Same as the control node, the compute nodes of Azure are powered using SQL. When interacting with information and data, compute nodes are reading and writing directly to and from Blobs. Storage: Data is stored in Azure Blob storage. Microsoft’s Azure data warehouse architecture breaks this up into the following three key components: The SQL data warehouse uses Microsoft’s MPP (massive parallel processing) architecture, designed to process some of the highly required on-premise organization data warehouses. In addition to this, Microsoft Azure is fully managed and removes the hassle of spending time on software back-ups, maintenance, and patching. SQL is also deeply ingrained into Azure which allows it to be deployed quickly. This data warehouse is Microsoft’s first cloud data warehouse which provides SQL capabilities along with the ability to shrink, grow and pause within seconds. Microsoft Azure SQL Data Warehouse is a distributed and enterprise-level database capable of handling large amounts of relational and nonrelational data. Microsoft Azure vs Amazon Redshift: Which is better?.Keep the answers to these questions in mind when reading through this article. Do I need an intuitive and user-friendly solution?ĭevelop a framework for data processing requirements, and you'll find a data warehouse solution that provides the right amount of power, functionality, and high performance for data analytics.Do I need accessible support from your solution provider?.Do I experience spikes in data volume and require a customized solution?.Do I expect to scale up data processing and data storage?.Then ask yourself the following questions: When choosing any SaaS application, you must start with a clear understanding of your business requirements. ![]()
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