Analisis Data dengan Menggunakan ERD dan Model Konseptual Data Warehouse
Doro Edi, Stevalin Betshani
Abstract
Doro Edi, Stevalin Betshani
Abstract
Data is an important part in enterprise information system. So data can be used effectively, we have to analyse the data. There are many ways to analysing and modelling data, some of them are by using Entity Relationship Diagram (ERD) and conceptual model of data warehouse such as star schema, snowflake schema, dan fact constellations schema. This paper suggest a literature study about data analysis by using ERD and conceptual model of data warehouse and also a case study about mini market information system to support that explanation. Design of ERD, star schema, snowflake schema, dan fact constellations schema in that information system meant to manage point of sale, purchasing, and stock control. Design of ERD can be used to modelling transactional data. While data warehouse more used to support manager to make a decision in an enterprise. Keywords: Entity Relationship Design, Star schema, Snowflakes schema, Fact constellation schema.
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Data is an important part in enterprise information system. So data can be used effectively, we have to analyse the data. There are many ways to analysing and modelling data, some of them are by using Entity Relationship Diagram (ERD) and conceptual model of data warehouse such as star schema, snowflake schema, dan fact constellations schema. This paper suggest a literature study about data analysis by using ERD and conceptual model of data warehouse and also a case study about mini market information system to support that explanation. Design of ERD, star schema, snowflake schema, dan fact constellations schema in that information system meant to manage point of sale, purchasing, and stock control. Design of ERD can be used to modelling transactional data. While data warehouse more used to support manager to make a decision in an enterprise. Keywords: Entity Relationship Design, Star schema, Snowflakes schema, Fact constellation schema.
Key concepts: Star schema, Data warehouse, Conceptual schema, Semi-structured model, Computer science, Information schema, Schema (genetic algorithms), Schema evolution