Idaho Transportation Department (ITD) Chapman Munn Principal Research Analyst Highway Data Introduction.

Slides:

Advertisements

Similar presentations

EIONET Training Beginners Zope Course Miruna Bădescu Finsiel Romania Copenhagen, 27 October 2003.

Advertisements

GIS for Aviation: Case for eTOD Management

.NET Technology. Introduction Overview of.NET What.NET means for Developers, Users and Businesses Two.NET Research Projects:.NET Generics AsmL.

Kensington Oracle Edition: Open Discovery Workflow Meets Oracle 10g Professor Yike Guo.

Building Scalable Automation Systems in Visual Studio .NET

Building Enterprise Applications Using Visual Studio ®.NET Enterprise Architect.

ORACLE Lecture 1: Oracle 11g Introduction & Installation.

Database Security and Auditing: Protecting Data Integrity and Accessibility Chapter 5 Database Application Security Models.

McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 1 Introduction to Database Management.

Conversion of the Computer Aided Instruction Tools to use Database Connectivity International Conference on Computer Science and its Applications 2004.

Chapter 5 Database Application Security Models

System Analysis and Design

Business Intelligence components Introduction. Microsoft® SQL Server™ 2005 is a complete business intelligence (BI) platform that provides the features,

Introduction to Systems Analysis and Design

Data Warehousing: Defined and Its Applications Pete Johnson April 2002.

Chapter 1 Introduction to Database Management. McGraw-Hill/Irwin © 2004 The McGraw-Hill Companies, Inc. All rights reserved. Welcome! Database technology:

Magento is an open source Content Management System that is mostly powerful in E-Commerce Script. Magento is built using Zend PHP and MySQL Databases.

Corporate Profile Contact Arvind Verma

IT – DBMS Concepts Relational Database Theory.

MySQL Introduction to the MySQL products. Agenda Company Overview Open Source & MySQL Momentum Why MySQL? MySQL OEM, Community & Enterprise offerings.

Database Systems – Data Warehousing

Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill Technology Education Introductory Lecture Advanced Computer Programming.

1 INTRODUCTION TO DATABASE MANAGEMENT SYSTEM L E C T U R E

CS461: Principles and Internals of Database Systems Instructor: Ying Cai Department of Computer Science Iowa State University Office:

Introduction to Database Management. 1-2 Outline  Database characteristics  DBMS features  Architectures  Organizational roles.

Computer Science 101 Database Concepts. Database Collection of related data Models real world “universe” Reflects changes Specific purposes and audience.

Steve Dower Software Engineer Python Tools for Visual Studio.

A Product of HR Applicant Tracking System Online HR Solutions for seamless recruiting process management Copyright © ANGLER.

CakePHP is an open source web development framework. It follows Model-View- Controller and is developed using PHP. IT is the basic for user to create.

ZOPE By: Mukesh Lal Advisor: Dr. Chung E. Wang Second Reader: Dr. Gopal Rao Department of Computer Science California State University, Sacramento.

DATABASE MANAGEMENT SYSTEMS AND THEIR USES

Esri UC2013. Technical Workshop. Technical Workshop 2013 Esri International User Conference July 8–12, 2013 | San Diego, California Geodatabase Administration:

Demystifying the Data Scientist Dan McClary, Ph.D. Big Data Product Management Oracle Note: The speaker notes for this slide include detailed instructions.

Oracle's Distributed Database Bora Yasa. Definition A Distributed Database is a set of databases stored on multiple computers at different locations and.

Role of a Systems Analysts Business problem solving using information technology Bridges the gap between IT users and systems professionals –In-house software.

Multi-Tier Apps with Admin Access, RDP, Custom Installs Modern Scalable Web Sites Full Windows Server/Linux VMs Web Sites Virtual Machines Cloud Services.

Database Management Systems

Introduction to SQL Server 2000 Reporting Services Jeff Dumas Technical Specialist Microsoft Corporation

Ontolica Fusion 4.0 The easy Automation Tool for SharePoint Steen Jakobsen Fusion Principal Architect

EFETAC and NEMAC Collaboration Integrated Threat Database and Middleware System.

Proposed silms 6.0.

Building Enterprise Applications Using Visual Studio®

Key Terms Attribute join Target table Join table Spatial join.

AAS Business Analytics: Wake Tech CC

Using GIS to Identify Areas for DUI Enforcements and Analyzing Impacts

CASE Tools and Joint and Rapid Application Development

Fundamentals of Information Systems

ATTENDANCE AND INTERNAL MARK ENTRY SYSTEM

PHP / MySQL Introduction

DataOps DataOps DevOps for Analytics.

Instructor LISA Galina PhD. in Economics

Malwarebytes Technical Support Number

Different Role of IT Consulting Services in Different Areas Data Preparation Services Data Visualization Services Data Science Services Blockchain Strategy.

Power Apps & Flow for Microsoft Dynamics SL

Programming vs. Packaged

Dane Stubben QuintilesIMS Database Manager

Principal Product Manager Oracle Data Science Platform

Content of Presentation

Implementation of the New Federal Performance-based Planning Requirements: Data and Information Needs of State DOTs Data Collection and Analysis in Washington.

Data base management system dbms

DAT381 Team Development with SQL Server 2005

INNOvation in TRAINING BUSINESS ANALYSTS HAO HElEN Zhang UniVERSITY of ARIZONA

Automating Geodatabase Administration with Python

Standardize Automate Protect Monitor team-based development

Building Map Books in ArcGIS

Case Study: Privileged Access and Data Science

Data Science Infrastructure as Code

Ungraded quiz Unit 1.

Power BI + R Visuals Made Easy for Medical Cross Review

FUNDAMENTALS OF DOT NET TRAINING BY SURBHI KALE. INDEX 1.Dot net training Framework Fundamentals 2.CLR Features 3.Class Library Features 4.The Common.

Presentation transcript:

Idaho Transportation Department (ITD) Chapman Munn Principal Research Analyst Highway Data Introduction

Data Collection Analysis Transportation Performance Management Introduction

Transportation Performance Management Safety Bridge Pavement System Performance Four components of TPM

Geographic Information Systems Fundamental Concepts Enterprise Databases Geographic Information Systems Technical Employees Automation Manager Support The five fundamental concepts that allowed us to solve the TPM problem

Enterprise Databases Oracle DB SQL Server Pavement Data Bridge Data Safety Data NPMRDS Data Touch on concept of open data Single source of truth Easy access Processing speed Protected information – read access only – admin rights

Enterprise Databases Open Data Single Source Secure Data Processing Speed

Geographic Information Systems Location ArcPY Visualization All data has location Built in analytics tools ArcPY Availability

Geographic Information Systems All data has location Built in analytics tools ArcPY Frame our process internally – solve problem for state - modify code for MPO – scalable

Technical Employees Programming GIS Database design Data science

Automation Python/R Reproducibility Quality Assurance Python is a free, modern scripting language R is designed for statistics and analytics

Automation Add language name Iterative process Reliability and speed

Setting Targets Manager Support Autonomy Team Approach Frame iterative nature of TPM Generated lots of conversation Policy approach ‘Data informed decisions’

Questions? Chapman Munn Chapman.Munn@itd.idaho.gov 208-334-8460 Contact Info Chapman Munn Chapman.Munn@itd.idaho.gov 208-334-8460