Back to Business intelligence and data warehousing
Learner Reviews & Feedback for Business intelligence and data warehousing by Universidad Nacional Autónoma de México
23 ratings
About the Course
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
● Create a Star o Snowflake data model Diagram through the Multidimensional Design from analytical business requirements and OLTP system
● Create a physical database system
● Extract, Transform and load data to a data-warehouse.
● Program analytical queries with SQL using MySQL
● Predictive analysis with RapidMiner
● Load relational or unstructured data to Hortonworks HDFS
● 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).
Top reviews
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1 - 5 of 5 Reviews for Business intelligence and data warehousing
By James W
•Sep 02, 2019
The Course was great. Hoping others will learn great stuff
By Sahil S
•Jan 18, 2019
Awesome Lessons ,also to clear all the basics
By Priyanka L
•Mar 24, 2020
Great Knowledge
By Zulfiqar
•Feb 26, 2020
Of no use. It does not provide anything useful. Too short to explain anything. Purpose less assignments. Time wasting course.
By ADEDAYO J T
•Feb 23, 2020
terrible, never did a course this bad
terrible explanation, everything about is so disjointed
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