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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