Online Events

Due to time zones, events presented by American speakers will be spread over more days, and will take place in the afternoon from 2 pm to 6 pm Italian time

Building a Business-Driven Roadmap for Modern Cloud Data Architecture

ONLINE LIVE STREAMING

Nov 30, 2022

By: John O'Brien

Implementing Data Fabric, Mesh, or Lakehouse

ONLINE LIVE STREAMING

Dec 01 - Dec 02, 2022

By: Barry Devlin

Practical Data Quality Management

ONLINE LIVE STREAMING

Dec 05 - Dec 06, 2022

By: Christopher Bradley

Practical Data Quality Management with CDPM Certification

ONLINE LIVE STREAMING

Dec 05 - Dec 06, 2022

By: Christopher Bradley

Incorporating Big Data, Hadoop and NoSQL in DW and BI System

ONLINE LIVE STREAMING

Dec 12 - Dec 13, 2022

By: Rick van der Lans

Lean Data Architectures to Minimize Data Copying

ONLINE LIVE STREAMING

Dec 14, 2022

By: Rick van der Lans

Modern Application Architectures

ONLINE LIVE STREAMING

Dec 15 - Dec 16, 2022

By: Jesse Anderson

Pre-Project Problem Analysis

ONLINE LIVE STREAMING

Dec 19 - Dec 20, 2022

By: Adrian Reed

Data Virtualization: Technology and Use Cases

ONLINE LIVE STREAMING

Mar 27 - Mar 28, 2023

By: Rick van der Lans

Free article of the month

November 2022

Upcoming events by this speaker:

November  28 – 29, 2022:
Data Governance: A practical Guide

 

Data Governance: The Data Discipline at the hub of Data Management

The widely respected Data Management Association’s Data Management Book of Knowledge (DMBoK)[1] identifies 11 main disciplines of data management, including Data Architecture, Business Intelligence and so on.  DMBoK portrays the 11 disciplines as a wheel, with 10 of the disciplines forming the spokes, and one at its centre.  At this hub is Data Governance.

[1]  Data Management Book of Knowledge, Second Edition, 2017, DAMA International

Figure 1: Data Management Association Data Management Wheel

Why does the DMBOK place Data Governance here?  It contends that without Data Governance none of the other disciplines can ever function effectively, or fully deliver the benefits they promise.  It sees it as the ‘must have’ capability for any organisation wanting to enhance the use and value of its data.     

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