Performing Information Governance: A Step-by-Step Guide to Making Information Governance Work (Erica Danieletto's Library) by Anthony David Giordano
Author:Anthony David Giordano
Language: eng
Format: epub
Publisher: IBM Press
Published: 2015-03-13T16:00:00+00:00
2.2.1 Determine Stakeholders for Assessment—The objective for this task is to determine who to interview primarily from the technology department. This assessment would include the current data store landscape, but only at the application level. The 80-20 rule should apply for this planned assessment. The goal is not to identify every single data store, but those that are most critical and that collect the most data, thereby incurring significant cost.
• Deliverable materials:
• Application-specific stakeholder assessment
• Activity RASIC chart:
• ILM project data steward: Responsible
• Project manager: Supports
• EDM architect: Supports
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
| Access | Data Mining |
| Data Modeling & Design | Data Processing |
| Data Warehousing | MySQL |
| Oracle | Other Databases |
| Relational Databases | SQL |
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8310)
Azure Data and AI Architect Handbook by Olivier Mertens & Breght Van Baelen(6835)
Building Statistical Models in Python by Huy Hoang Nguyen & Paul N Adams & Stuart J Miller(6812)
Serverless Machine Learning with Amazon Redshift ML by Debu Panda & Phil Bates & Bhanu Pittampally & Sumeet Joshi(6695)
Data Wrangling on AWS by Navnit Shukla | Sankar M | Sam Palani(6484)
Driving Data Quality with Data Contracts by Andrew Jones(6437)
Machine Learning Model Serving Patterns and Best Practices by Md Johirul Islam(6183)
Learning SQL by Alan Beaulieu(6007)
Weapons of Math Destruction by Cathy O'Neil(5800)
Big Data Analysis with Python by Ivan Marin(5407)
Data Engineering with dbt by Roberto Zagni(4415)
Solidity Programming Essentials by Ritesh Modi(4066)
Time Series Analysis with Python Cookbook by Tarek A. Atwan(3924)
Pandas Cookbook by Theodore Petrou(3629)
Blockchain Basics by Daniel Drescher(3308)
Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen(2914)
Feature Store for Machine Learning by Jayanth Kumar M J(2822)
Learn T-SQL Querying by Pam Lahoud & Pedro Lopes(2804)
Mastering Python for Finance by Unknown(2748)
