Download Example Block (OneBlock.old)

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
 Data Warehousing
• Definitions
• Star Schema – Dimensions and facts.
• Snowflakes, Constellations
• Bit-Map Index
6
 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
7
 Data
Mining Agorithms
• Association – a priori
• Association – fp growth
• Decision Trees – ID3
8
DON’T FORGET TO
BRING A
CALCULATOR!!!
9