Open AccessPENERAPAN TEKNOLOGI DATAWAREHOUSE NOSQL DAN BUSINESS INTELLIGENCE UNTUK ANALISA TRANSAKSI PENJUALAN
Author(s) -
I Putu Susila Handika,
Gede Bagus Arya Tama,
Ni Putu Mega Krisnayanti
Publication year - 2020
Publication title -
jurnal resistor (rekayasa sistem komputer)
Language(s) - English
Resource type - Journals
eISSN - 2598-9650
pISSN - 2598-7542
DOI - 10.31598/jurnalresistor.v3i2.626
Subject(s) - nosql , computer science , business intelligence , database , database transaction , data warehouse , process (computing) , big data , transaction data , online analytical processing , quality (philosophy) , data mining , operating system , philosophy , epistemology
Business process are increasingly developing, causing data generated will be even greater. The application of datawarehouse technology and MongoDB as one of the NoSQL technologies can solve large historical data processing problems. In addition, business intelligence technology that is able to visualize data in into graphics and tables will make it easier for stakeholders to analyze sales transactions. The process for transforming transaction data into a datawarehouse is the Extract Transform Load (ETL) process. The data generated from the ETL process is quality data and is really needed for analysis. Black box testing results and data validity indicate the system can be accepted and can produce the right information for decision support.