Add to ORKGThe goal of this research is to utilize the in-memory technology in implementing a data warehouse using the SAP ERP Simulation data. Operational data currently play an important role in running the simulation as part of making critical decisions or adjusting company’s strategy. Those data are getting bigger in size as the simulation progresses, so it is essential to have a more reliable data warehouse. The adoption of in-memory technology in data warehouse design and data modeling would not only solve the problem, but could provide numerous benefits. At the end of this research, major components in data warehouse are expected to be created including data mart schema (star schema), tables, and various views needed for data visualization. Fur...
Warehousing is an indispensable part for most of business organizations, although its existence seem...
The master's thesis deals with the in-memory database SAP HANA which keeps all data directly in main...
PresentationLack of Equipment Data is a fundamental barrier to understanding asset performance insid...
The analysis and organization of Big Data is becoming important in the business industry. Using and ...
This research identifies how in-memory technology can be leveraged to understand big data in a case ...
An Enterprise Resource Planning (ERP) system delivers constant coordinated data and information to a...
Enterprise-wide data is central for timely and effective planning of materials, activities, operatio...
Data Warehouses are the core of the modern systems for decision making. They store integrated inform...
This book is the merger and continuation of two successful textbooks, (i) Integration Management wit...
As the current needs are elasticizing from socializing to using gadgets or electronic items like ref...
With the rapid advances in technology and data volume, having efficient and scalable data management...
In-memory databases have become a mainstay of enterprise computing offering significant performance ...
The large amount of data that companies are dealing with, day by day, is a big challenge for the tra...
In the current time of digital flux of data, existing techniques of data warehouse cannot handle the...
Recent trends in Enterprise Resource Planning revolve around the ability to provide powerful Busines...
Warehousing is an indispensable part for most of business organizations, although its existence seem...
The master's thesis deals with the in-memory database SAP HANA which keeps all data directly in main...
PresentationLack of Equipment Data is a fundamental barrier to understanding asset performance insid...
The analysis and organization of Big Data is becoming important in the business industry. Using and ...
This research identifies how in-memory technology can be leveraged to understand big data in a case ...
An Enterprise Resource Planning (ERP) system delivers constant coordinated data and information to a...
Enterprise-wide data is central for timely and effective planning of materials, activities, operatio...
Data Warehouses are the core of the modern systems for decision making. They store integrated inform...
This book is the merger and continuation of two successful textbooks, (i) Integration Management wit...
As the current needs are elasticizing from socializing to using gadgets or electronic items like ref...
With the rapid advances in technology and data volume, having efficient and scalable data management...
In-memory databases have become a mainstay of enterprise computing offering significant performance ...
The large amount of data that companies are dealing with, day by day, is a big challenge for the tra...
In the current time of digital flux of data, existing techniques of data warehouse cannot handle the...
Recent trends in Enterprise Resource Planning revolve around the ability to provide powerful Busines...
Warehousing is an indispensable part for most of business organizations, although its existence seem...
The master's thesis deals with the in-memory database SAP HANA which keeps all data directly in main...
PresentationLack of Equipment Data is a fundamental barrier to understanding asset performance insid...