what is data warehouse in azure?
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Azure SQL Data Warehouse is a managed petabyte-scale service with controls to manage compute and storage independently. In addition to the flexibility around compute workload elasticity, it also allows users to pause the compute layer while still persisting the data to reduce costs in a pay-as-you go environment.
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Data Fabric is an architecture and set of data services that provide consistent capabilities across a choice of endpoints spanning on-premises and multiple cloud environments. Data Fabric simplifies and integrates data management across cloud and on-premises to accelerate digital transformation.
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['Three main types of Data Warehouses are:', 'Enterprise Data Warehouse:', 'Operational Data Store:', 'Data Mart:', 'Offline Operational Database:', 'Offline Data Warehouse:', 'Real time Data Warehouse:', 'Integrated Data Warehouse:']
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Microsoft SQL Server Analysis Services, SSAS, is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. ... Microsoft has included a number of services in SQL Server related to business intelligence and data warehousing.
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SQL Data Sync is a service that allows synchronizing data across multiple Azure SQL databases and on-premises SQL Server databases. ... The data synchronization appears between the Hub and individual member database only.
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At its core, Azure is a public cloud computing platform—with solutions including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) that can be used for services such as analytics, virtual computing, storage, networking, and much more.
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['Microsoft SQL Server.', 'Microsoft SQL Server Analysis Services for MDX, DMX, Microsoft Power Pivot, and tabular models.', 'Microsoft Azure SQL Database.', 'Oracle.', 'SAP BW.', 'Hyperion Essbase.', 'Microsoft SharePoint List.', 'Teradata.']
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Data warehouse refers to the process of compiling and organizing data into one common database, whereas data mining refers to the process of extracting useful data from the databases. The data mining process depends on the data compiled in the data warehousing phase to recognize meaningful patterns.
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Data Mart vs Data Warehouse However, they differ in the scope of data stored: data warehouses are built to serve as the central store of data for the entire business, whereas a data mart fulfills the request of a specific division or business function.
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A warehouse management system (WMS) is a software application that helps control and manage the day-to-day operations in a warehouse. WMS software guides inventory receiving and put-away, optimizes picking and shipping of orders and advises on inventory replenishment.
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Data marts contain repositories of summarized data collected for analysis on a specific section or unit within an organization, for example, the sales department. A data warehouse is a large centralized repository of data that contains information from many sources within an organization.
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In a warehouse there could be many databases and the data mart is a subset of the data warehouse and is usually oriented to a specific business line or team. Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department.
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Data Warehouse. Data marts contain repositories of summarized data collected for analysis on a specific section or unit within an organization, for example, the sales department. ... A data warehouse is a large centralized repository of data that contains information from many sources within an organization.
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There are three prominent data warehouse characteristics: Integrated: The way data is extracted and transformed is uniform, regardless of the original source. Time-variant: Data is organized via time-periods (weekly, monthly, annually, etc.). Non-volatile: A data warehouse is not updated in real-time.
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SQL Server Analysis Services (SSAS) is the technology from the Microsoft Business Intelligence stack, to develop Online Analytical Processing (OLAP) solutions. In simple terms, you can use SSAS to create cubes using data from data marts / data warehouse for deeper and faster data analysis.
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A data mart is a subset of a data warehouse oriented to a specific business line. ... A data warehouse is a large centralized repository of data that contains information from many sources within an organization. The collated data is used to guide business decisions through analysis, reporting, and data mining tools.
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['Self-serve reporting. ... ', 'Fast implementation. ... ', 'In-memory analysis. ... ', 'Data warehouse. ... ', 'Data visualisation. ... ', 'OLAP. ... ', 'Report scheduling. ... ', 'Advanced security.']