SlideShare uma empresa Scribd logo
1 de 24
May 31 st , 2005 Presentation 1 Data Management .......... Streamline the process
Mission … Effectively manage data flow in and out of the company. Organize and present project data such that buyers can simply and effectively make a quick evaluation facilitating a strong offer in a short amount of time.  ..........   Streamline the process
Advantages … Prompt and dedicated attention to project data flow will eliminate duplication of effort and lighten the load of the project team. ..........   Streamline the process
Forms of Data Transfer ,[object Object],[object Object],[object Object],[object Object],[object Object],Types of Data ….
Well Files  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Types of Data ….
eMails & Faxes ,[object Object],[object Object],Types of Data ….
Data CD’s ,[object Object],[object Object],[object Object],Types of Data ….
FTP Site ,[object Object],[object Object],[object Object],Types of Data ….
What Happens to Project Data? ,[object Object],[object Object],[object Object],[object Object],[object Object],Results ….
Data Books (dBooks) What can they represent? ,[object Object],[object Object],[object Object],[object Object],Results ….
Data Books -Format? ,[object Object],[object Object],[object Object],[object Object],Results ….
Data Books -Separator Pages ,[object Object],[object Object],[object Object],[object Object],Results ….
Client “eCopies’ Library ,[object Object],[object Object],[object Object],Results ….
File Inventory ,[object Object],[object Object],Results ….
FTP Site Download Tracking List ,[object Object],[object Object],[object Object],Results ….
Dataroom Photos ,[object Object],[object Object],Results ….
Data Flow ,[object Object],[object Object],[object Object],Data Flow ….
Where does the data go? ,[object Object],[object Object],[object Object],[object Object],Data Hierarchy ….
How many ways can you name a file? ,[object Object],eFile Names ….
Inventories, Flagging & dBooks ,[object Object],[object Object],[object Object],[object Object],[object Object],Staffing ….
Scanning ,[object Object],[object Object],[object Object],[object Object],Staffing ….
What to do with project material? ,[object Object],[object Object],[object Object],The End of it all ….
Important thoughts ,[object Object],[object Object],[object Object],Last Word ….
The End …. E.W. “Trey” Poindexter III Engineer Questions – Clarifications - Comments

Mais conteúdo relacionado

Semelhante a Data Management

Adding structure to your streaming pipelines: moving from Spark streaming to ...
Adding structure to your streaming pipelines: moving from Spark streaming to ...Adding structure to your streaming pipelines: moving from Spark streaming to ...
Adding structure to your streaming pipelines: moving from Spark streaming to ...
DataWorks Summit
 
Off-Label Data Mesh: A Prescription for Healthier Data
Off-Label Data Mesh: A Prescription for Healthier DataOff-Label Data Mesh: A Prescription for Healthier Data
Off-Label Data Mesh: A Prescription for Healthier Data
HostedbyConfluent
 
Data Con LA 2018 - Standing on shoulders of giants by Sooraj Akkammadam
Data Con LA 2018 - Standing on shoulders of giants by Sooraj AkkammadamData Con LA 2018 - Standing on shoulders of giants by Sooraj Akkammadam
Data Con LA 2018 - Standing on shoulders of giants by Sooraj Akkammadam
Data Con LA
 

Semelhante a Data Management (20)

Database Shootout: What's best for BI?
Database Shootout: What's best for BI?Database Shootout: What's best for BI?
Database Shootout: What's best for BI?
 
Apache CarbonData+Spark to realize data convergence and Unified high performa...
Apache CarbonData+Spark to realize data convergence and Unified high performa...Apache CarbonData+Spark to realize data convergence and Unified high performa...
Apache CarbonData+Spark to realize data convergence and Unified high performa...
 
Adding structure to your streaming pipelines: moving from Spark streaming to ...
Adding structure to your streaming pipelines: moving from Spark streaming to ...Adding structure to your streaming pipelines: moving from Spark streaming to ...
Adding structure to your streaming pipelines: moving from Spark streaming to ...
 
Acquiring Born-Digital Material at the Canadian Centre for Architecture
Acquiring Born-Digital Material at the Canadian Centre for ArchitectureAcquiring Born-Digital Material at the Canadian Centre for Architecture
Acquiring Born-Digital Material at the Canadian Centre for Architecture
 
Off-Label Data Mesh: A Prescription for Healthier Data
Off-Label Data Mesh: A Prescription for Healthier DataOff-Label Data Mesh: A Prescription for Healthier Data
Off-Label Data Mesh: A Prescription for Healthier Data
 
Best practices and trends in people soft
Best practices and trends in people softBest practices and trends in people soft
Best practices and trends in people soft
 
Navigating the mess of a Shared Network Drive Migration to SharePoint - SPS B...
Navigating the mess of a Shared Network Drive Migration to SharePoint - SPS B...Navigating the mess of a Shared Network Drive Migration to SharePoint - SPS B...
Navigating the mess of a Shared Network Drive Migration to SharePoint - SPS B...
 
COE 2016: Technical Data Migration Made Simple
COE 2016: Technical Data Migration Made SimpleCOE 2016: Technical Data Migration Made Simple
COE 2016: Technical Data Migration Made Simple
 
Systems, processes & how we stop the wheels falling off
Systems, processes & how we stop the wheels falling offSystems, processes & how we stop the wheels falling off
Systems, processes & how we stop the wheels falling off
 
L’architettura di Classe Enterprise di Nuova Generazione
L’architettura di Classe Enterprise di Nuova GenerazioneL’architettura di Classe Enterprise di Nuova Generazione
L’architettura di Classe Enterprise di Nuova Generazione
 
Best Practices for Building and Deploying Data Pipelines in Apache Spark
Best Practices for Building and Deploying Data Pipelines in Apache SparkBest Practices for Building and Deploying Data Pipelines in Apache Spark
Best Practices for Building and Deploying Data Pipelines in Apache Spark
 
Apache Kafka and the Data Mesh | Ben Stopford and Michael Noll, Confluent
Apache Kafka and the Data Mesh | Ben Stopford and Michael Noll, ConfluentApache Kafka and the Data Mesh | Ben Stopford and Michael Noll, Confluent
Apache Kafka and the Data Mesh | Ben Stopford and Michael Noll, Confluent
 
Introduction Big Data
Introduction Big DataIntroduction Big Data
Introduction Big Data
 
Data Con LA 2018 - Standing on shoulders of giants by Sooraj Akkammadam
Data Con LA 2018 - Standing on shoulders of giants by Sooraj AkkammadamData Con LA 2018 - Standing on shoulders of giants by Sooraj Akkammadam
Data Con LA 2018 - Standing on shoulders of giants by Sooraj Akkammadam
 
Delta Lake OSS: Create reliable and performant Data Lake by Quentin Ambard
Delta Lake OSS: Create reliable and performant Data Lake by Quentin AmbardDelta Lake OSS: Create reliable and performant Data Lake by Quentin Ambard
Delta Lake OSS: Create reliable and performant Data Lake by Quentin Ambard
 
Data Model for Mainframe in Splunk: The Newest Feature of Ironstream
Data Model for Mainframe in Splunk: The Newest Feature of IronstreamData Model for Mainframe in Splunk: The Newest Feature of Ironstream
Data Model for Mainframe in Splunk: The Newest Feature of Ironstream
 
Introduction to Azure DocumentDB
Introduction to Azure DocumentDBIntroduction to Azure DocumentDB
Introduction to Azure DocumentDB
 
Webinar: Enterprise Data Management in the Era of MongoDB and Data Lakes
Webinar: Enterprise Data Management in the Era of MongoDB and Data LakesWebinar: Enterprise Data Management in the Era of MongoDB and Data Lakes
Webinar: Enterprise Data Management in the Era of MongoDB and Data Lakes
 
ConnectED 2015 BP302: Future-Proofing Enterprise IT
ConnectED 2015 BP302: Future-Proofing Enterprise ITConnectED 2015 BP302: Future-Proofing Enterprise IT
ConnectED 2015 BP302: Future-Proofing Enterprise IT
 
Big Data made easy in the era of the Cloud - Demi Ben-Ari
Big Data made easy in the era of the Cloud - Demi Ben-AriBig Data made easy in the era of the Cloud - Demi Ben-Ari
Big Data made easy in the era of the Cloud - Demi Ben-Ari
 

Último

Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
ciinovamais
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
kauryashika82
 

Último (20)

Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajan
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
General AI for Medical Educators April 2024
General AI for Medical Educators April 2024General AI for Medical Educators April 2024
General AI for Medical Educators April 2024
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 

Data Management

  • 1. May 31 st , 2005 Presentation 1 Data Management .......... Streamline the process
  • 2. Mission … Effectively manage data flow in and out of the company. Organize and present project data such that buyers can simply and effectively make a quick evaluation facilitating a strong offer in a short amount of time. .......... Streamline the process
  • 3. Advantages … Prompt and dedicated attention to project data flow will eliminate duplication of effort and lighten the load of the project team. .......... Streamline the process
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24. The End …. E.W. “Trey” Poindexter III Engineer Questions – Clarifications - Comments

Notas do Editor

  1. Good Morning! Thank Mr. Simon.