Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. You will be able to understand the problem of integration and predictive analysis of high volume of unstructured data (big data) with data mining and the Hadoop framework. After completing this course, a learner will be able to 鈼� Create a Star o Snowflake data model Diagram through the Multidimensional Design from analytical business requirements and OLTP system 鈼� Create a physical database system 鈼� Extract, Transform and load data to a data-warehouse. 鈼� Program analytical queries with SQL using MySQL 鈼� Predictive analysis with RapidMiner 鈼� Load relational or unstructured data to Hortonworks HDFS 鈼� Execute Map-Reduce jobs to query data on HDFS for analytical purposes Programming languages: For course 2 you will use the MYSQL language. Software to download: Rapidminer MYSQL Excel Hortonworks Hadoop framework In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).
Design and implement an analytical databases
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Skills You'll Learn
Data Warehousing, Expected Return, Sap Hana, Business Intelligence
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From the lesson
Designing a Data Warehouse
After completing this module, a learner will be able to identify the entire process of datawarehousing, which consist on OLAP design concepts and multidimensional modelling. The learner will be able to design and create a data warehouse from OLAP requirements.
Taught By
Mar铆a del Pilar 脕ngeles
Full time professor at the Department of Computer Engineering