USG DATA WAREHOUSE REDESIGN

Similar documents
Consolidation Work Group Final Report

Data Vault at work. Does Data Vault fulfill its promise? GDF SUEZ Energie Nederland

Chapter 5. Learning Objectives. DW Development and ETL

Sizing Logical Data in a Data Warehouse A Consistent and Auditable Approach

Reflections on Agile DW by a Business Analytics Practitioner. Werner Engelen Principal Business Analytics Architect

Whitepaper. Data Warehouse/BI Testing Offering YOUR SUCCESS IS OUR FOCUS. Published on: January 2009 Author: BIBA PRACTICE

Business Intelligence In SAP Environments

Empowering Users with Self-Service Analytics and Agile BI. MicroStrategy World 2014 Cynthia Wagner BI Solution Architect, BMC Software

CIXS Common Information exchange Specification. Cisco adoption of open standards

Data warehouse and Business Intelligence Collateral

Data Visualization and Business Insights Using SAS Visual Analytics. University of Connecticut Dan Sokol Thulasi Kumar 1/13/2015

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya

Microsoft Data Warehouse in Depth

Data Warehouse Overview. Srini Rengarajan

Business Intelligence for Financial Services: A Case Study

IBM WebSphere DataStage Online training from Yes-M Systems

Industry Models and Information Server

Structure of the presentation

Extending the Enterprise Data Warehouse with Hadoop Robert Lancaster. Nov 7, 2012

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA

Service Oriented Data Management

Whitepaper. Data Warehouse/BI Testing Offering. Published on: January 2010 Author: Sena Periasamy

Agile BI With SQL Server 2012

IST722 Data Warehousing

Data Warehousing. Jens Teubner, TU Dortmund Winter 2015/16. Jens Teubner Data Warehousing Winter 2015/16 1

State of Louisiana Department of Revenue. Development/implementation of LDR s First Data Mart RFP Official Responses to Written Inquiries

Bussiness Intelligence and Data Warehouse. Tomas Bartos CIS 764, Kansas State University

Automating the process of building. with BPM Systems

Managing Third Party Databases and Building Your Data Warehouse

Data Warehouse Development and Implementation Services RFP RFP Official Questions and Responses

Integrating data in the Information System An Open Source approach

BI, Analytics and Big Data A Modern-Day Perspective

Integrating Ingres in the Information System: An Open Source Approach

Data Profiling and Mapping The Essential First Step in Data Migration and Integration Projects

Improving your Data Warehouse s IQ

MDM and Data Warehousing Complement Each Other

Business Intelligence (BI) Data Store Project Discussion / Draft Outline for Requirements Document

LEARNING SOLUTIONS website milner.com/learning phone

Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence. Peter Simons peter.simons@cimaglobal.

Data Mart/Warehouse: Progress and Vision

Establish and maintain Center of Excellence (CoE) around Data Architecture

Breadboard BI. Unlocking ERP Data Using Open Source Tools By Christopher Lavigne

The State of North Dakota. proudly submits to the NASCIO Awards Committee

Automated Data Ingestion. Bernhard Disselhoff Enterprise Sales Engineer

Copyright 2007 Ramez Elmasri and Shamkant B. Navathe. Slide 29-1

Republic Polytechnic School of Information and Communications Technology C355 Business Intelligence. Module Curriculum

Data Virtualization for Agile Business Intelligence Systems and Virtual MDM. To View This Presentation as a Video Click Here

Informatica Data Replication: Maximize Return on Data in Real Time Chai Pydimukkala Principal Product Manager Informatica

Getting Started Practical Input For Your Roadmap

Enabling Better Business Intelligence and Information Architecture With SAP Sybase PowerDesigner Software

Data Warehousing and Data Mining in Business Applications

TechForum2011 Presentation

Data Warehouse / MIS Testing: Corporate Information Factory

Enabling Better Business Intelligence and Information Architecture With SAP PowerDesigner Software

Oracle BI Application: Demonstrating the Functionality & Ease of use. Geoffrey Francis Naailah Gora

The Inside Scoop on Hadoop

Master Data Management and Data Warehousing. Zahra Mansoori

Data Virtualization. Paul Moxon Denodo Technologies. Alberta Data Architecture Community January 22 nd, Denodo Technologies

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

A Framework for Developing the Web-based Data Integration Tool for Web-Oriented Data Warehousing

ENABLING OPERATIONAL BI

Global outlook on the perspectives of technologies like Power Hub

Cognos Security Policy. A look at the security policy that is in place for the ODS/Cognos Reporting Environment at the College of Charleston

Deploy. Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture

G-Cloud Framework Service Definition. SAP HANA Service

Getting it Right: How to Find the Right BI Package for the Right Situation Norma Waugh. RMOUG Training Days February 15-17, 2011

Analance Data Integration Technical Whitepaper

Data Ownership and Enterprise Data Management: Implementing a Data Management Strategy (Part 3)

Decoding the Big Data Deluge a Virtual Approach. Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco

How to Use ADP Self Service

Extraction Transformation Loading ETL Get data out of sources and load into the DW

Designing Business Intelligence Solutions with Microsoft SQL Server 2012

An Introduction to Data Warehousing. An organization manages information in two dominant forms: operational systems of

DNV presentation at Norsk Informatica Brukerforum

Relational Databases for the Business Analyst

Intelligent BI Testing. Key to Reliable Information. Data to Impact.

Big Data Architect Certification Self-Study Kit Bundle

Analance Data Integration Technical Whitepaper

Innovate and Grow: SAP and Teradata

Name: Clint Huijbers Function: Senior Microsoft Business Intelligence consultant

Application of Predictive Analytics for Better Alignment of Business and IT

Business Intelligence Practice

Introduction to Datawarehousing

Transcription:

AC IRP October 26, 2010 USG DATA WAREHOUSE REDESIGN 1

USG Data Warehouse Redesign Matt Payne ITS Project Manager matt.payne@usg.edu Kanti Chalasani Redesign Project Lead/ Data Architect 2

Implementation Timeline Requirements Gathering through 12/31/2010 Academic, HR and Financials integrated into new data warehouse for parallel testing Fall 2011 Facilities integrated into new data warehouse for parallel testing December 2011 3

USG Data Warehouse Redesign Institution ETL (Extract Transform Load) USG Staging Operational Store Relational Enterprise Data Warehouse Dimensional Data Marts Reporting Focus Groups Gather Comments/Feedback 4

Institution ETL 1. Review current ETL processes 2. Present proposed ETL processes 3. Understand the new features in the Proposed ETL Process 4. Gather feedback/comments 5. Answer your questions 5

Institution ETL ADM Current Academic Data Mart ETL Location USO DB Banner DB USO Delivered Institution DB -Homegrown SOAXREF Translations Validations(Editor) Invoked via portal after load 6

Institution ETL HR Current HR Data Mart ETL Location : USO DB Automated extraction for ADP Validations(Editor) Invoke from portal 7

Institution ETL FIN Current Financial Data Mart ETL Location : USO DB Invoke via portal Validations (Editor) Invoke via portal after extract 8

New ADM ETL Process Proposal ADM Extraction Define Standard Staging DDL SOAXREF Translations Missing Translations System Office Codes ETL Location Based on Survey Results. Validations USO Delivered for staging DDL Location» USO and Institution Update/Maintenance Plan 9

New ADM ETL Process Proposal Online Reports Error/Validation Reports Translation Rejection Reports Basic turnaround /headcounts Translation Codes References 10

New HR ETL Process Proposal HR Data Mart Define Standard Staging DDL ETL Location : USO DB Automated extraction for ADP Validations (Editor) Last step after ETL. Online Reports 11

New Financial ETL Process Proposal Financial Data Mart Define Standard Staging DDL ETL Location : USO DB On Demand Validations(Editor) On Demand Online Reports 12

New Institution ETL Review Proposal Institution(s) 1. Extract 2. Validate/Clean Errors 3. Review USO Staging Reports 4. Notify USO 5. Review Staging Reports 6. Load to EDW 7. Review EDW Reports 8. Accept Institution(s) 9. Review EDW Reports 10.Signoff 13

New Institution ETL Features Recap Standard Staging DDL 14

New Institution ETL Features Recap Standard Staging DDL Institution ETL bundle Validation Package Error Reports Headcount Reports System Office Reference Codes 15

New Institution ETL Features Recap Standard Staging DDL Institution ETL bundle Validation Package Error Reports Headcount Reports System Office Reference Codes Notify when USO Staging Data is clean 16

New Institution ETL Features Recap Standard Staging DDL Institution ETL bundle Validation Package Error Reports Headcount Reports System Office Reference Codes Notify when USO Staging Data is clean DW Load initiated by USO 17

New Institution ETL Features Recap Standard Staging DDL Institution ETL bundle Validation Package Error Reports Headcount Reports System Office Reference Codes Notify when USO Staging Data is clean DW Load initiated by USO Signoff USO Enterprise Data Warehouse( EDW) 18

Questions/Suggestions 19