Design and Implement a Data Warehouse: | SSIS | SSAS | SSRS

Describe the key elements of a data warehousing solutionDescribe the main hardware considerations for building a data warehouseImplement a logical design for a data warehouseImplement a physical design for a data warehouseImplementing a Data WarehouseDescribe the key features of SSISImplement a data flow by using SSISDebug SSIS packagesDescribe the considerations for implement an ETL solutionImplement Data Quality ServicesImplement a Master Data Services modelDescribe how you can use custom components to extend SSISDeploy SSIS projectsShow moreShow lessA Data Warehousing (DW) is process for collecting and managing data from varied sources to provide meaningful business insights. A Data warehouse is typically used to connect and analyze business data from heterogeneous sources. The data warehouse is the core of the BI system which is built for data analysis and reporting.It is a blend of technologies and components which aids the strategic use of data. It is electronic storage of a large amount of information by a business which is designed for query and analysis instead of transaction processing. It is a process of transforming data into information and making it available to users in a timely manner to make a difference.MicrosoftSQL Server Integration Services (SSIS) is a platform for building high-performance data integration solutions, including extraction, transformation, and load (ETL) packages for data warehousing. SSIS includes graphical tools and wizards for building and debugging packages; tasks for performing workflow functions such as FTP operations, executing SQL statements, and sending e-mail messages; data sources and destinations for extracting and loading data; transformations for cleaning, aggregating, merging, and copying data; a management database, SSISDB, for administering package execution and storage; and application programming interfaces (APIs) for programming the Integration Services object model.SQL Server Reporting Services (SSRS) is a reporting software that allows you to produce formatted reports with tables in the form of data, graph, images, and charts. These reports are hosted on a server that can be executed any time using parameters defined by the users. It is part of Microsoft SQL Server Services suite.Analysis Services is an analytical data engine (VertiPaq) used in decision support and business analytics. It provides enterprise-grade semantic data models for business reports and client applications such as Power BI, Excel, Reporting Services reports, and other data visualization toolsWho this course is for:Database AdministratorsDatabase professionalsBusiness Intelligence Developers