Exam Reviews

1

Class Introduction• Definitions• Introduction to OLAP processing• Introduction to Data Mining Processing

Data Warehousing• Differences between a data warehouse and

a transactional database• Data organization – the star schema• Bit Map Indexes

2

Introduction to ETL• Data Preprocessing Activities• SQL Commands to copy data

Extraction/transformation/load• Sqlldr• Externally stored tables• Dblinks

OLAP Introduction OLAP in SQL

• Rollups and Cubes

3

More OLAP in SQL• Partitioning• Analytical functions (cume_dist, ntile, etc.)

Introduction to data mining• No prediction – time series, clustering• Predict one thing – decision trees, value

prediction• Predict everything – association, sequential

patterns.

4

Class Introduction• Basic Definitions

Introduction to ETL• Data Preprocessing Activities• SQL Commands to copy data• Extraction/transformation/load• Sqlldr• Externally stored tables• Dblinks

5

6

Data Warehousing• Definitions• Star Schema – Dimensions and facts.• Snowflakes, Constellations• Bit-Map Index

7

Decision Support• Data Warehousing

Definitions, Tools• OLAP

Roll up, drill down, slice and dice SQL: Partitions, Rank, N-Tiles, Distributions,

etc.• Data Mining

Preprocessing techniques Clustering, Time sequences, Classification,

Value Prediction, Association, Sequential Patterns

Data Mining Agorithms• Association – a priori• Association – fp growth• Decision Trees – ID3

8

9

DON’T FORGET TO BRING A

CALCULATOR!!!