Data Architecture (CSDA): where we are today June 2017

Slides:

Advertisements

Similar presentations

NEFIS WP2 Mid-Term Meeting Vienna May 2004.

Advertisements

WS Protocol Workshop Process Jorgen Thelin, Microsoft Corporation The path to interoperable Web Services specifications.

Gazetteer Application CODIST II, May 2011 Yoseph Mekasha Yoseph Mekasha E-Application Section.

Summary of Participant Interview Themes for GSIM Sprint 1 7 February 2012.

1 Samples The following slides are provided as samples and references for the Quarterly Reviews Additional slides will be added.

Chapter 2 Database Environment Pearson Education © 2014.

1 Chapter 2 Database Environment. 2 Objectives of Three-Level Architecture u All users should be able to access same data u User’s view immune to changes.

December 3, 2010 SAIF Governance Framework A Brief Update on work to date.

Metadata for the S-DWH ‒ an overview Lars-Göran Lundell Statistics Sweden.

FIMS Repository Interface IBC A Bit of History How did it start? –FIMS members defined the need to standardize repository operations –FIMS business.

Enterprise Architecture

Sai-innovations.com. Why we care about IA Review of Information Management statistics published by Gartner shows  Information is doubling every 2 years.

Building Capability.  In order to successfully operate an architecture function within an enterprise, it is necessary to put in place appropriate organization.

Data Warehouse Development Methodology

Luxembourg January CORE ESSnet (COmmon Reference Environment) final meeting Carlo Vaccari Istat - Italy.

Geneva, Switzerland, April 2012 Introduction to session 7 - “Advancing e-health standards: Roles and responsibilities of stakeholders” Marco Carugi.

Bayu Adhi Tama, M.T.I 1 © Pearson Education Limited 1995, 2005.

Database Environment Session 2 Course Name: Database System Year : 2013.

The FEA Data Reference Model V2.0 Michael C. Daconta, DRM Working Group Lead Susan Turnbull, AIC Representative Mary McCaffery, FEA PMO Representative.

ESS-VIP ICT Project Work Package III Task Force Meeting, Luxembourg, 5 March 2013.

Metadata Framework for a Statistical Data Warehouse

DISCUSSION DRAFT ONLY Data Management METRICS for NNDC and CLASS David Hermreck.

WS Protocol Workshop Process The Path to Real-world Interoperability Jorgen Thelin, Microsoft Corporation.

1 Item 2.1.b of the agenda IT Governance in the ESS and related issues Renewal of mandates STNE Adam WROŃSKI Eurostat, Unit B5.

The FEA Data Reference Model V1.5 Michael C. Daconta, DRM Working Group Lead Susan Turnbull, AIC Representative Mary McCaffery, FEA PMO Representative.

ISWG / SIF / GEOSS OOSSIW - November, 2008 GEOSS “Interoperability” Steven F. Browdy (ISWG, SIF, SCC)

MSG-085 2RS Common Interest Group SINEX OVERVIEW

United Nations Economic Commission for Europe Statistical Division CSPA: The Future of Statistical Production Steven Vale UNECE

Dr. Ir. Yeffry Handoko Putra

國立臺北科技大學課程：資料庫系統 Chapter 2 Database Environment.

GAMSO in context Denis GROFILS & Jean-Marc MUSEUX, Eurostat

What is Enterprise Architecture?

Business Case National Accounts Production System – Services (NAPS-S)

PSCE Conference Athens 23th November 2016

GEA CoP DRM Briefing for July 13 Meeting with Andy Hoskinson

Thérèse Lalor Statistical Management and Modernisation Unit

EAFIP Athens 19th October 2016

Modernization Maturity Model and Roadmap

Modernization Maturity Model

(COmmon Reference Environment)

Unified Process(UP) popo.

Christian Ansorge Arona, 09/04/2014

Enterprise Data Model Enterprise Architecture approach Insights on application for through-life collaboration 2018 – E. Jesson.

Chapter 2 Database Environment Pearson Education © 2009.

ESS Vision 2020 Recent developments Addressing the skill gaps

EOSC Governance Development Forum

Eurostat activities update

SISAI STATISTICAL INFORMATION SYSTEMS ARCHITECTURE AND INTEGRATION

GSBPM, GSIM, and CSPA.

Database Environment Transparencies

June 2017 Carlo Vaccari, project leader

SISAI STATISTICAL INFORMATION SYSTEMS ARCHITECTURE AND INTEGRATION

SISAI STATISTICAL INFORMATION SYSTEMS ARCHITECTURE AND INTEGRATION

Database Systems Instructor Name: Lecture-3.

“The role of S-DWH in the ESS 2020 modernization process”

FDA-08 FDA Whitepaper Update

CORA ESSNet COmmon Reference Architecture starting ...

Employee engagement Delivery guide

CSPA: The Future of Statistical Production

Chapter 2 Database Environment Pearson Education © 2014.

Architecture & Interoperability Directorate

Proposal of a Geographic Metadata Profile for WISE

Joint Application Development (JAD)

METIS 2011 Workshop Session III – National Implementation of the GSBPM

Generic Statistical Information Model (GSIM)

The future of Statistical Production

AIXM 5.2 – WIP AIXM CCB – Webex 29 March 2017.

Data Architecture project

High-Level Group for the Modernisation of Official Statistics

Presentation transcript:

Data Architecture (CSDA): where we are today June 2017 Carlo Vaccari, project leader Dick Woensdregt, project lead architect

Purpose and Scope Data is an important asset for statistical organisations Various aspects: Determining the meaning and therefore (potential) value of data Usability: is it in a useable form? Governance & security The project assignment (Nov 2016 Workshop) talks about “data architecture”, “external data sources and off-site data” and “semantic interoperability and metadata management” Scope: GSBPM phases 1 thru 7

Deliverables Reference Architecture Guidelines Use-cases All due by the end of 2017. A first draft of the Reference Architecture was created during the May sprint and is available for review on the project public wiki.

Users and usage

Capabilities Defining: Core capabilities (Ingestion, Transformation, Integration, Access & Consumption) Cross-cutting capabilities (Metadata Management, Data Governance, Provenance & Lineage, Security & Authorization) Building Blocks (Conceptual and Logical) are used to realize/implement Capabilities Architecture valid for different Categories of data Semantic Layer to share the “meaning” of different data

Capabilities & Building Blocks

How to get involved We welcome your input. If you want to get involved in the Data Architecture project or give us your comments or input, please contact Carlo Vaccari at vaccari@istat.it Dick Woensdregt at dmp.woensdregt@gmail.com .. Or contact us at this conference. … we love to talk to you!