Data Warehousing for BE Anna University R21CBCS (Vertical III - CSE / IT / AI&DS & Vertical II - CS&BS - CCS341)

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Syllabus Data Warehousing - (CCS341) UNIT I INTRODUCTION TO DATA WAREHOUSE Data warehouse Introduction - Data warehouse components - operational database Vs data warehouse - Data warehouse Architecture - Three-tier Data Warehouse Architecture - Autonomous Data Warehouse - Autonomous Data Warehouse Vs Snowflake - Modern Data Warehouse. (Chapter - 1) UNIT II ETL AND OLAP TECHNOLOGY What is ETL - ETL Vs ELT - Types of Data warehouses - Data warehouse Design and Modeling - Delivery Process - Online Analytical Processing (OLAP) - Characteristics of OLAP - Online Transaction Processing (OLTP) Vs OLAP - OLAP operations - Types of OLAP- ROLAP Vs MOLAP Vs HOLAP. (Chapter - 2) UNIT III META DATA, DATA MART AND PARTITION STRATEGY Meta Data - Categories of Metadata - Role of Metadata - Metadata Repository - Challenges for Meta Management - Data Mart - Need of Data Mart - Cost Effective Data Mart - Designing Data Marts - Cost of Data Marts - Partitioning Strategy - Vertical partition - Normalization - Row Splitting -Horizontal Partition. (Chapter - 3) UNIT IV DIMENSIONAL MODELING AND SCHEMA Dimensional Modeling - Multi - Dimensional Data Modeling - Data Cube - Star Schema - Snowflake schema - Star Vs Snowflake schema - Fact constellation Schema - Schema Definition - Process Architecture - Types of Data Base Parallelism - Datawarehouse Tools. (Chapter - 4) UNIT V SYSTEM & PROCESS MANAGERS Data Warehousing System Managers : System Configuration Manager- System Scheduling Manager - System Event Manager - System Database Manager - System Backup Recovery Manager - Data Warehousing Process Managers : Load Manager - Warehouse Manager - Query Manager - Tuning - Testing. (Chapter - 5)

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Pages: 208 Edition: 2023 Vendors: Technical Publications