Title :
Heading towards big data building a better data warehouse for more data, more speed, and more users
Author :
Goss, Raymond Gardiner ; Veeramuthu, Kousikan
Author_Institution :
Manuf. Technol., GLOBALFOUNDRIES, Malta, NY, USA
Abstract :
As a new company, GLOBALFOUNDRIES is aggressively agile and looking at ways to not just mimic existing semiconductor manufacturing data management but to leverage new technologies and advances in data management without sacrificing performance or scalability. Being a global technology company that relies on the understanding of data, it is important to centralize the visibility and control of this information, bringing it to the engineers and customers as they need it. Currently, the factories are employing the best practices and data architectures combined with business intelligence analysis and reporting tools. However, the expected growth in data over the next several years and the need to deliver more complex data integration for analysis will easily stress the traditional tools beyond the limits of the traditional data infrastructure. The manufacturing systems vendors need to offer new solutions based on Big Data concepts to reach the new level of information processing that work well with other vendor offerings. In this paper, we will show where we are and where we are heading to manage the increasing needs for handling larger amounts of data with faster as well as secure access for more users.
Keywords :
competitive intelligence; data analysis; data integration; data warehouses; manufacturing data processing; report generators; semiconductor industry; GLOBALFOUNDRIES; big data; business intelligence analysis; business reporting tools; complex data integration; data architectures; data handling; data warehouse; expected data growth; global technology company; information control; information processing; information visibility centralization; manufacturing systems; secure data access; semiconductor manufacturing data management; Big data; Companies; Data models; Data warehouses; Manufacturing; Production facilities; Real-time systems; Analysis; Big Data; Data Warehousing; Real-Time; Reporting; Scaling;
Conference_Titel :
Advanced Semiconductor Manufacturing Conference (ASMC), 2013 24th Annual SEMI
Conference_Location :
Saratoga Springs, NY
Print_ISBN :
978-1-4673-5006-8
DOI :
10.1109/ASMC.2013.6552808