PPT-Plan your architecture, instances, integrations, and data flows

Author : tracy | Published Date : 2021-12-09

The development of your architecture instance strategy and data strategy for the Now Platform need to be considered through a technical lens and to be driven by

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Plan your architecture, instances, integrations, and data flows: Transcript


The development of your architecture instance strategy and data strategy for the Now Platform need to be considered through a technical lens and to be driven by your business context and objectives for transformation Decisions you make with respect to key architecture question like whether to pursue a multi or singleinstance approachrequire consideration first by relevant business considerations both in terms of your current situation and future considerations that may affect your Now Platform expansion. By: Harrison Reid. Outline. What is a Data Warehouse Architecture. Five Main Data Warehouse Architectures. Factors That Affect Choosing A Data Warehouse Architecture. Summary. Bibliography. What is a Data Warehouse Architecture. 1. This slide includes content from slides by . Venkatanathan. . Varadarajan. . and Benjamin Farley . Public Clouds (EC2, Azure, Rackspace, …). VM. Multi-tenancy. Different customers’ virtual machines (VMs) share same server. Presented by Barry Crowell and Frank Reese. Overview. W. h. at. . we . w. i. l. l. . co. v. er. . in this. . s. es. s. i. o. n. W. h. y. . w. o. uld. . y. o. u. . imp. l. e. m. e. n. t an. . in. Kevin Kline, . SQL Sentry. Director of Engineering Services, kekline@sqlsentry.com. Microsoft SQL Server MVP since 2003. Twitter , Facebook, LinkedIn @ . KEKline. Website: . http://KevinEKline.com/. , . Decision Tree Learning. Bamshad Mobasher. DePaul University. 2. Classification: 3 Step Process. 1. Model construction . (. Learning. ):. Each record (instance, example) is assumed to belong to a predefined class, as determined by one of the attributes. 1/5/12. 1. UVIS Team Meeting. Problem description. No match between the FUV data and the minimum ray high from geometer.. several seconds discrepancy.. Good match of the HSP data with geometer.. We were expecting 379 integrations and only 371 could be found in DAPS.. Gaja Naik VP IT gnaik@nexgenam.com. User Conference | October 21, 2016. NEXGEN Integration possibilities. Nexgen. can integrate anything and everything. Inbuilt integration. MAIL. SMS. IPAD. ESRI. CCTV. S. OCIAL. M. EDIA. M. INING. Dear instructors/users of these slides: . Please feel free to include these slides in your own material, or modify them as you see fit. If you decide to incorporate these slides into your presentations, please include the following note:. Lunch & Learn Series | August 21, 2014. Importance of integration. 2. Steve Snider. Director of Technology. ssnider@hilemangroup.com. . What we’ll cover…. What defines an integration?. Why integrate?. draft-. finn. -. detnet. -problem-statement. Norm . Finn, . Pascal . Thubert. DetNet problem statement. Doc charter. This . effort will establish . the deployment . environment and deterministic network requirements. . and Data Analytics. Yolanda Gil. University of Southern California. gil@isi.edu. Last Updated:. September 2016. ACI-1355475. CC-BY. Attribution . http. ://www.datascience4all.org . Introduction . and . Hsinchun. . Chen. Spring . 2016. , MIS . 496A. Acknowledgements:. Mark Grimes, Gavin Zhang – University of Arizona. Ian H. Witten – University of Waikato. Gary Weiss – Fordham University . Round Table Session: LMS Plugins and Integrations This session provides an opportunity to discuss and hear about how other institutions are handling LMS Plugins and Integrations. This includes administration, Presented by: . Xiaowei. Shang. Background. Gradient . boosting decision tree (GBDT. ) . is a widely-used machine learning algorithm, due to its efficiency, accuracy, and interpretability. GBDT achieves state-of-the-art performances in many machine learning tasks, such as multi-class .

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