Datawarehousing and Analytics Introduction to Assignments

Transcription

1 Anwendersoftware a Datawarehousing and Analytics Introduction to Assignments Holger Schwarz Universität Stuttgart Winter Term 2014/2015

2 Anwendersoftware a Assignment 1 Data Mining Discuss option to apply data mining techniques to the data of a give scenario, in order to provide relevant information that supports management in decision making. OLAP Provide various SQL statements providing data that helps to anser typical OLAP type information requests. For the SQL statements, you may consider the OLAP features of SQL, which you have learned in the lecture. 2

3 Anwendersoftware a Rules for Assignment 1 Work on this assignment in teams of four students Prepare a result document (PDF) with your solutions for all the tasks Send this document to dwdm@ipvs.uni-stuttgart.de no later than October 31, 10:00 am. Your has also to include your name, your team number, your matriculation number and your study programme Contact Holger Schwarz for any further questions 3

4 Anwendersoftware a Assignment 2: Goals Hands-on experience with tools supporting data warehouse processes Focus on analytics Set of prepared and guided exercises (document describes what to do) Additional tasks extending the prepared exercises Each team will have access to a virtual machine with IBM InfoSphere Warehouse and Cognos installed. You will run through a tutorial that explains same basic tasks of using these tools: explore data and data models Prepare, deploy and visualize data cubes Create mining flows Prepare a customer segmentation Prepare a revenue forecast Extend the reports and data mining models of the tutorial 4

5 Anwendersoftware a Rules for Assignment 2 You participate in this hands-on lab in teams of four students. Each team gets ist own virtual machine for this exercise. Each team has to complete all tasks until December 1 st. Please send a PDF to dwdm@ipvs.uni-stuttgart.de covering the following: Names, study programme and matriculation numbers of all team members For each exercises, name the team member that are ready to present the results List specific difficulties with the hands-on lab. Are there any aspects where the description does not match with what you found on the server? Each team has to make an appointment with Holger Schwarz to present the results (15 to 30 minutes per team). Each group member has to actively participate in this result presentation. You will be asked to present selected results. Result presentations are scheduled for end of November and December. Appointments will be organized by /Doodle. 5

6 InfoSphere Warehouse Architecture Design Studio Design, Develop and Optimize Warehouse & Analytics Deployment Admin Console Control and monitor flows and cubes on production system Manages Deployment Workload Management explore data model dimensional datamodeling prepare customer segmentation import cube model create mining flow deploy data model deploy cube model deploy segmentation model deploy and run mining flow import data DB2 display mining results (forecast) run report display segmentation Cognos BI exercise 1 exercise 2 exercise 3 exercise 5

7 Lab Overview Exercise 1: Using the InfoSphere Warehouse Model Pack for Customer Insight to deploy a basic analytical schema with appropriate Cognos reports Import the physical data model Work with Data Architect tooling (part of Design Studio) Import predefined Cognos reports 7

8 Lab Overview Exercise 2: Multidimensional modeling with InfoSphere Warehouse and OLAP analysis using Cognos Data Architect SQL Warehousing Cubing Services Cognos Reporting 8

9 Lab Overview Exercise 3: Descriptively prepare your data and perform customer segmentation using InfoSphere Warehouse Descriptive Data Preparation Data Mining Solution Plan for Customer Segmentation 9

10 Lab Overview Exercise 5: Revenue Forecasting with InfoSphere Warehouse Data Mining Preparation Time Series Forecasting 10

11 Introduction Anwendersoftware a Documents assignment2_v01.pdf (available in approx. 10 days) Describes details on how to access your VM Each group has its private VM with all the necessary software installed. To access your server - You may use any computer/laptop connected to the network of the faculty of computer science (Universitätsstraße 38). - See the PDF for details on the requirements HandsOnLab.pdf Describes five exercises Each team has to complete exercises 1, 2, 3, 5 11

12 Anwendersoftware a How to organize the teams? Goto: Download file template.txt Fill in the data for your team of (exactly!) three students Teams of two students might be combined (depending on number of overall participants) Upload the file as Lastname1Lastname2Lastname3.txt Data must be available on Monday, October 6, 2014, 10 am Change requests possible until Thursday, October 9, 2014, 8 am Template.txt Team member 1: last name: first name: study programme: Team member 2: last name: first name: study programme: Team member 3: last name: first name: study programme: Comments: 12