CCS341 Data Warehousing

CCS341 Data Warehousing

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Prepared by  
     S.Santhosh (Admin) 
Important questions 
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UNIT -1
1. operational database Vs data warehouse 
2. Autonomous Data Warehouse Vs Snowflake Modern Data Warehouse
3. Data warehouse architecture**
UNIT-2
1. ETL Vs ELT-Types of Data warehouses 
2. Data warehouse Design and Modeling 
3. Delivery Process Online Analytical Processing (OLAP) Characteristics of OLAP 
4. Online Transaction Processing (OLTP) Vs OLAP -
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UNIT-3 1. Categories , Role of Metadata 

2.  Challenges for Meta Management 

 3. Cost Effective ,Designing Data Marts, cost of partioning **
UNIT-4

1. Multi-Dimensional Data Modeling Star Schema  

2.  Schema Definition Process Architecture

3. Types of Data Base Parallelism

UNIT-5 1. System Configuration, System Scheduling, Event Manager
2.Recovery Manager
3. Query Manager
4. Tuning ,Testing.

**Very important questions are bolded and may be asked based on this topic

PART-C

1.Compulsory Questions {a case study where the student will have to read and analyse the subject }
mostly asked from unit 4,5(OR)Algorithm may be asked

Snowflake schema Star Vs Snowflake schema Fact constellation Schema

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Contact uS *These questions are expected for the exams This may or may not be asked for exams
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SYllabuS
UNITI INTRODUCTION TO DATA WAREHOUSE

Data warehouse Introduction Data warehouse components operational database Va data warehousa-Data warehouse Architecture-Three-fer Data Warehouse Architecture-Autonomous Data Warehouse Autonomous Data Warehouse Vs Snowflake Modern Data Warehouse

UNIT II ETL AND OLAP TECHNOLOGY



What is ETL-ETL Vs ELT-Types of Data warehouses Duta warehouser Design and Modeling- Delivery Process Online Analytical Processing (OLAP) Charactenstics of OLAP Online Transaction Processing (OLTP) Vs OLAP OLAP operations- Types of OLAP-ROLAP VS MOLAP VHOLAP

UNIT III META DATA, DATA MART AND PARTITION STRATEGY

Meta Data-Categories of Metadata Role of Metadata Metadata Repository Chalenges for Merta Management Data Mart Need of Data Mart Cost Effective Data Mart- Designing Data Marts- Cost of Data Marts- Partitioning Strategy-Vertical partition-Normalization-Row Spitting -Horizontal Partition

UNIT IV DIMENSIONAL MODELING AND SCHEMA Dimensional Modeling- Multi-Cimensional Data Modeling Data Cube- Star Schema- Snowflake schema- Star Vs Snowflake schema- Fact constellation Schema- Schema Definition-Process Architecture-Types of Data Base Paraleliam-Datawarehouse Tools

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

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