'Capture data' presentation slideshows

Web application Performance

Web application Performance. ? Mark Friedman Architect Developer Division Microsoft Corporation. Web Application Performance. Agenda: ASP.NET architecture for building dynamic web applications Building scalable web applications Persisting Session state Caching application data

1.12k views • 110 slides

Web application Performance

Web application Performance. ? Mark Friedman Architect Developer Division Microsoft Corporation. Web Application Performance. Agenda: ASP.NET architecture for building dynamic web applications Building scalable web applications Persisting Session state Caching application data

1.36k views • 110 slides

Full Service Update

Full Service Update. February 2014 Ken Penland HQ Program Manager BMS. Agenda. Acceptance Today moving to Seamless Mail Anywhere eInduction How Seamless will work Seamless Verification Overview How to use the Mail Quality reports. Acceptance Today. Issues. Issues.

850 views • 67 slides

610 views • 47 slides

Successful Data Warehouse Implementation Brings Changes to Campus Culture, Processes, and People

Successful Data Warehouse Implementation Brings Changes to Campus Culture, Processes, and People. Ora Fish Rensselaer Polytechnic Institute. Agenda. Alignment between the Information Technology and the Business Development Methodology Lessons Learned Demonstration Q & A.

654 views • 46 slides

SOX Compliance: A Practical Look at Application Auditor

603 views • 45 slides

Neutron time-of-flight measurements at GELINA

488 views • 27 slides

Information Systems

Information Systems. Data, information and knowledge. Data are individual facts which, by themselves, are not very meaningful e.g. the account was debited by $50 Information is the organisation of one or more pieces of data to answer a complex question

359 views • 24 slides

Introduction to Information Systems

Introduction to Information Systems. Chapter 1. CHAPTER OUTLINE. 1.1 Why Should I Study Information Systems? 1.2 Overview of Computer-Based Information Systems 1.3 How Does IT Impact Organizations? 1.4 Why Are Information Systems Important to Society?. LEARNING OBJECTIVES.

3.14k views • 22 slides

Reference Information Specifications for Europe RISE Test Environment (RTE) Overview

291 views • 18 slides

403 views • 18 slides

Conversations are Changing

ISES Coursework Completion System An Introduction for the CESA 7 PAC Sarita Jha, Project Lead Susan Rose-Adametz, Business Analyst Rod Packard, DPI Director of Information Technology. Conversations are Changing.

279 views • 16 slides

INFS 6225 Object-Oriented Systems Analysis & Design

INFS 6225 Object-Oriented Systems Analysis & Design. Chapter 10: Human Computer Interaction Layer. User Interface Structure Design. Plan for how a system will interact with external entities (e.g., people & other systems) Part of the Human-Computer Interface Layer Three parts:

277 views • 13 slides

Electronic Umpire System

Electronic Umpire System. Adam Chalifour John Martin Steve Dimopoulos Advisor: J. Miller. Reason . Reason. Consistent Strike Zone Eliminate Human Error Avoid a Dispute . Process. Identify Strike Zone. Side View High-Speed Camera . Software Implementation.

240 views • 11 slides

Computer-Aided Design (CAD) Tools to Support Human Task Worksite Design

Computer-Aided Design (CAD) Tools to Support Human Task Worksite Design. H. Charles Dischinger, Jr. Lead, Human F actors Engineering Team and Mariea Dunn Jackson Assistant Manager, Systems Engineering Management Office NASA/George C. Marshall Space Flight Center.

257 views • 11 slides

ePortfolios: Mapping the Future

156 views • 6 slides

PUC Registration: Problems and Solutions

PUC Registration: Problems and Solutions. 26 th October 2007. Overall Process 2006/7. Annual Coordinating meeting: Decide on registration information requirements and form format Finalized registration fee Discuss timeline Timeline: Oct: Awareness campaign and distribution of forms

219 views • 6 slides

Data, Data, Everywhere...

Data, Data, Everywhere. Jeff S. Holmes Motorola Fort Worth, TX. The Issues. Lots of In-Process Data Collected Defect Inspection Size Time Software Metrics Measurement Systems Inaccurate Cumbersome NOT ENGINEERED!. The Effects. Estimation Accuracy Schedules Staffing Quality

169 views • 4 slides

Data, Data, Everywhere...

Data, Data, Everywhere. Jeff S. Holmes Motorola Fort Worth, TX. The Issues. Lots of In-Process Data Collected Defect Inspection Size Time Software Metrics Measurement Systems Inaccurate Cumbersome NOT ENGINEERED!. The Effects. Estimation Accuracy Schedules Staffing Quality

152 views • 4 slides

First Discussions

First Discussions. Transparent data access Data selection on raw, QC, and derived products Shell we use the astronomers model? Information Centre? Definition of a processing chain (Language)? Replicability ?. Reproducible Science (Sharing of derived data) . C apture the workflow

124 views • 3 slides