Cloud Big Data Lake for Advanced Analytics in Semiconductor Manufacturing

被引:0
|
作者
Sun, Susan [1 ]
Ye, Jeff [2 ]
Schwarthoff, Hubert [3 ]
Rosin, Jon [4 ]
Vakkalagadda, Varalakshmi [5 ]
Chang, Jimmy [6 ]
Ubbara, Sesidhar Reddy [3 ]
Chinthakindi, Anil [7 ]
机构
[1] Micron Technol Inc, Data Sci, Manassas, VA 83716 USA
[2] Micron Technol Inc, Proc Integrat, Manassas, VA USA
[3] Micron Technol Inc, Smart Mfg Tech Solut, Boise, ID USA
[4] Micron Technol Inc, Informat Technol, Manassas, VA USA
[5] Micron Technol Inc, Data Sci, Manassas, VA USA
[6] Micron Technol Inc, Smart Mfg Tech Solut, Taichung, Taiwan
[7] Micron Technol Inc, Front End Cent Qual, Manassas, VA USA
关键词
Cloud; Data Lake; Semiconductor Manufacturing; Big Data Analytics;
D O I
10.1109/ASMC61125.2024.10545365
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Data driven business intelligence is changing how semiconductor manufacturing thrives in the long term. A cloud big data lake is designed and implemented based on state-of-the-art cloud architecture providing complete services for data ingestion, storage, processing, advanced analytics, and machine learning with a high level of security. Efficient and effective use of this big data lake and data science enables problem solving and decision making to improve productivity and performance.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Integration of Cloud, Internet of Things, and Big Data Analytics
    Somani, Gaurav
    Zhao, Xinghui
    Srirama, Satish Narayana
    Buyya, Rajkumar
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2019, 49 (04): : 561 - 564
  • [42] Big Data Analytics Labs in the Cloud Spaces for Teamwork
    Nunez-del-Prado, Miguel
    Rodriguez, Michelle
    [J]. 2017 7TH WORLD ENGINEERING EDUCATION FORUM (WEEF), 2017, : 499 - 503
  • [43] A Cloud Based Environment for Big Data Analytics in Healthcare
    Chauhan, Ritu
    Jangade, Rajesh
    Mudunuru, Vimal K.
    [J]. PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016), 2018, 614 : 315 - 321
  • [44] Advanced Data Analytics Platform for Manufacturing Companies
    Voigt, Tim
    Migenda, Nico
    Schoene, Marvin
    Pelkmann, David
    Fricke, Matthias
    Schenck, Wolfram
    Kohlhase, Martin
    [J]. 2021 26TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2021,
  • [45] Big data analytics for intelligent manufacturing systems: A review
    Wang, Junliang
    Xu, Chuqiao
    Zhang, Jie
    Zhong, Ray
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2022, 62 : 738 - 752
  • [46] Big Data Analytics to Improve Photomask Manufacturing Productivity
    Fan, Xiaoming
    Zhu, Xuan
    Kuo, Kuei Chi
    Lu, Cong
    Wu, Jason
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2017, : 2341 - 2345
  • [47] Multidimensional Mining of Big Social Data for Supporting Advanced Big Data Analytics
    Cuzzocrea, Alfredo
    [J]. 2017 40TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2017, : 1337 - 1342
  • [48] Advantages of Using Big Data in Semiconductor Manufacturing
    Villareal, Gabe
    Na, James
    Lee, Joe
    Ho, Tom
    [J]. 2018 29TH ANNUAL SEMI ADVANCED SEMICONDUCTOR MANUFACTURING CONFERENCE (ASMC), 2018, : 139 - 142
  • [49] Cloud Service Platform For Big Data Of Manufacturing
    Zhu Haiping
    Xu Yu
    Liu Qin
    Rao Yunqing
    [J]. RESEARCH IN MECHANICAL ENGINEERING AND MATERIAL SCIENCE, 2014, 456 : 178 - 183
  • [50] Data Lake Lambda Architecture for Smart Grids Big Data Analytics
    Munshi, Amr A.
    Mohamed, Yasser Abdel-Rady I.
    [J]. IEEE ACCESS, 2018, 6 : 40463 - 40471