Overview
Using BIDS, after the DSV is developed, the next step is to create dimensions. Dimensions are of two types: Database Dimensions and Cube Dimensions. Database dimensions can be perceived as a master template, and Cube dimensions can be perceived as instances / children of this master template.
We will start our development with the creation of database dimensions. If you consider a dimension as a table, all the fields in this table can be perceived as attributes. Hierarchy in a dimension is a group of attributes logically related to each other with a defined cardinality. Finally we will create a cube using the dimensions we just developed, and fact tables to create dimensions (cube dimensions) and measure groups (from fact tables).
Siddharth has more than 14 years of experience in the IT Industry, with more than a decade of experience in Business Intelligence and Analytics, for clients banking, logistics, government, Media Entertainment, products, life sciences and other domains. He has been a lead architect for a portfolio of 40+ apps, containing apps in web, mobile, BI, Analytics, data warehousing, reporting, collaboration, CMS, NoSQL and other technologies. He has several certifications and is a published author for online and print-media publications, as well as the MSDN Library.
In his present role, he remains responsible for architecture design, technology stack selection, infrastructure design, 3rd party products evaluation and procurement, and performance engineering. These applications use technologies like Elasticsearch / Lucene, MongoDB, SharePoint 2013 and 2010, jQuery-based framework like Highcharts and GoJS, SQL Server and the Microsoft Business Intelligence stack (SSIS, SSAS, SSRS, MDX, PowerPivot, PowerView), jQueryMobile, Bootstrap, iOS xCode framework, and many others.
- MSSQLTips Awards: Champion (100+ tips) – 2018 | Author of the Year – 2017 | Author Contender – 2016, 2018-2019