Statistical data editing near the source using cloud computing concepts
This presentation is the property of its rightful owner.
Sponsored Links
1 / 9

Editing near the source PowerPoint PPT Presentation


  • 75 Views
  • Uploaded on
  • Presentation posted in: General

Statistical data editing near the source using cloud computing concepts George Pongas, Christine Wirtz -Eurostat MSIS 2011 – 23-25 May 2011, Luxembourg. Editing near the source. Accelerates speed of final delivery to users and institutions Checks and imputations are near the respondent

Download Presentation

Editing near the source

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Editing near the source

Statistical data editing near the source using cloud computing conceptsGeorge Pongas, Christine Wirtz -EurostatMSIS 2011 – 23-25 May 2011, Luxembourg

MSIS 2011 – 23-25 May 2011, Luxembourg


Editing near the source

Editing near the source

  • Accelerates speed of final delivery to users and institutions

  • Checks and imputations are near the respondent

  • Data knowledge is frequently more profound in the primary collector institutions

  • Logical proximity is better than physical: Data and application sharing


Cloud and soa in few lines

Cloud and SOA in few Lines

  • Separates ownership and usage of data storage computer power and application development and execution (cloud)

  • Cloud variants are IaaS, PaaS, SaaS

  • Cloud architectures are:

    • Public

    • Private

    • Mixed

    • Community

  • Based on web technologies and independent software components to interlink on demand (SOA)


Data editing in eurostat

Data Editing in Eurostat

  • High volume of arrivals (>60.000 per year)

  • Format heterogeneity

  • Data checking absorbs substantial volume of human resources

  • Erroneous data imply communications with MS

  • Eurostat as a rule does not Impute…

  • Interest to have a Common distributed solutions


Eurostat s web enabled system for editing editing building block ebb

Eurostat’s web enabled system for editing(Editing building block (Ebb)

  • Completely Metadata Driven

  • Exists in 2 versions:

    • PC version

    • Web-based version

  • Technologies used:

    • ANTLR

    • Java

    • Tomcat or Weblogic

    • Hibernate

    • Postgres or Oracle


Ebb information flow

EBB Information Flow


Implementation details

Implementation Details

EBB is written using a set of Web services of the following types:

  • Administration

  • Program

  • Job


Ebb functionalities

EBB functionalities

  • Support of categorical, text and numeric variables

  • Separation of programmer and user interfaces

  • Conditional and unconditional rules

  • Multi-record rules

  • Deterministic imputation

  • Use of auxiliary data

  • File operations

  • Special functions (unicity, duplication checks ...)

  • Outliers (HB, Sigma Gap, Terror)

  • Input/output of data/metadata

  • Reporting


Usage until now

Usage until now

  • Embedded in SAS (for microdata editing)

  • To distribute to data providers as standalone version

    • FDI (foreign direct investments)

    • ITS (international trade in services)

    • SBS (structural business statistics)

    • CVTS (continuous vocational training survey),

    • AES (adult education survey)


  • Login