Data Governance Skills for the 21st Century, Norway

We can host this training at your preferred location. Contact us!

Technology trends such as big data, cloud, self-service, and agile challenge traditional data governance practices. At the same time increasing regulation of data and concerns about data privacy and security raise the stakes for governance. With new pressures, new technologies, and more data it is certainly time to learn and implement new governance techniques.

Data governance brings level of discipline to data management that is typical when managing financial and human resources. Data quality management is an integral part of data governance. Traditional data governance practices met the challenge of managing data as an asset until recently. Recent developments in the world of data are challenging the old model of policy- and enforcement-based governance. Agile projects often conflict with governance processes. Big data brings substantial changes to the scope and complexity of governance. Cloud deployment brings new issues that go well beyond the obvious concerns of security and privacy. Adoption of self-service BI and analytics radically changes governance culture and practices.

Data quality is one of the most vexing of governance issues. Most organizations have persistent and long-standing data quality problems that they correct reactively. A proactive data quality management program shifts the focus from correction to prevention and makes remarkable changes in the quality and value of your data.
The Data Governance Skills for the 21st Century workshop will cover essential techniques and best practices for data governance over three days of in-depth, interactive training.

There are no prerequsites for this course.

Data quality and data governance professionals
Business and IT executives facing the realities of agile, big data, and cloud
Mangers, architects, designers, and developers of BI, MDM, and analytics systems
Data stewards, data architects, and data administrators
Everyone with a role in data governance or data quality management
Anyone needing to modernize data governance for agile BI, big data, or cloud

The practices, roles, skills, and disciplines essential to data governance
The qualities that make good data stewards and stewardship organizations
The data governance challenges and opportunities that arise from cloud services
Risks, challenges, and opportunities of big data governance
How to overcome apparent conflicts between data governance and agile projects
How to overcome apparent conflicts of data governance with self-service BI and analytics
How to create and analyze data profiles
Processes and techniques for data quality assessment and data quality improvement
Subjective and objective methods to assess and measure data quality

1. Data Governance Fundamentals

1.1 Data Governance Concepts

Defining Data Governance
Dimensions of Data Governance
Data Governance Challenges

1.2 Data Stewardship

Stewardship Concepts
Stewardship Organizations
Stewardship Skills and Knowledge

1.3 Data Governance Processes

Developmental Processes
Active Governance Processes

2. Data Governance Innovations

2.1 The Current State of Data Governance

Current Definitions
Current Focus
Current Organizations
Current Processes
Why Data Governance Innovations?
Areas Of Innovation

2.2 Agile Data Governance

Agile development
Agile teams
Agile projects
Agile culture
Agile governance

2.3 Big Data Governance

Big Data Basics
Big Data and Governance Goals

2.4 Cloud Data Governance

Cloud Data Basics
Cloud Data and Governance Goals

2.5 Contemporary Governance Techniques

Data Governance Zones
Flat Data Governance Organizations
BI for Governance
Technology for Governance

3. Self-Service Data Governance

3.1 Big Shifts in Data Management

The World of Legacy BI
Technology Revolution
Modern Data Ecosystems
The World of Modern Analytics
The Magnitude of Change

3.2 Governance and the Information Supply Chain

Data Governance Goals
Data Protection in the Information Supply Chain
Data Utility in the Information Supply Chain
Data Value in the Information Supply Chain

3.3 Technologies and Modern Data Governance

Technology Overview
Data Ingestion Tools
Data Cataloging Tools
Data Preparation Tools
Reporting and Analysis Tools
Data Lake and Data Pipeline Tools

3.4 People, Processes, and Modern Data Governance

Changing Governance Practices
Rethinking Policy Enforcement
Rethinking Complexity
Rethinking Decision Rights
Rethinking Process Rigor
Stepping Up to Data Ethics

4. Data Quality Management

4.1 Data Quality Basics

Data Quality Concepts
Data Quality Processes

4.2 Profiling Data

Data Profiling Concepts
Column Profiling
Table Profiling
Cross-Table Profiling
Analyzing Data Profiles
Data Profiling in Practice

4.3 Assessing Data Quality

Data Quality Assessment Concepts
Subjective Assessment
Objective Assessment
Data Quality Assessment in Practice

4.4 Fixing Data Quality Defects

Data Cleansing Concepts
Procedural Data Cleansing
Rule-Based Data Cleansing
Data Cleansing in Practice

4.5 Preventing Data Quality Defects

Root Cause Analysis
Process Improvement

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Data Governance Skills for the 21st Century Training Course in Norway

The Nordic country Norway, is in Northern Europe. Known for its stunning natural beauty, including fjords, mountains, and forests, Norway is also famous for its high standard of living and strong social welfare system. Norway's capital and largest city is Oslo. Tromsø, Bergen, Trondheim and Stavanger are the other tourist attracting cities of Norway.

Norway is a constitutional monarchy with King Harald V as the head of state. The country has a population of 5,425,270 as of January 2022. Norway is a relatively small country and has a relatively low population density, with much of its land area covered by forests, mountains, and fjords. Despite its small size, Norway is known for its rich cultural heritage, strong economy, and stunning natural beauty, which attracts millions of visitors every year. This Nordic country is also known for its winter sports, such as skiing and snowboarding, and is a popular destination for outdoor enthusiasts.

Norway has a long history of invention and is home to numerous more top-tier tech firms and research facilities, such as; Kongsberg Gruppen, Telenor, Atea, Evry and Gjensidige Forsikring.

Due to the country's high latitude, there are large seasonal variations in daylight. From late May to late July, the sun never completely descends beneath the horizon. Which attracts many tourists around the world to see the "Land of the Midnight Sun". Tourists mainly visit Sognefjord, Norway's Largest Fjord, Pulpit Rock, one of the most photographed sites in Norway and of course the capital; Oslo.

Oslo is considered the business center of Norway. It is the country's largest city and the capital of Norway. The city is home to many of Norway's largest and most important companies, as well as several international organizations and research institutions. Additionally, the city is a popular tourist destination, known for its scenic location on the Oslo Fjord, its many museums and cultural attractions, and its vibrant nightlife and dining scene. Some of the most popular museums in Oslo are The Norwegian Museum of Cultural History, The Nobel Peace Center, The National Museum of Art, Architecture, and Design, The Munch Museum and The Vigeland Museum.

Data Governance Skills for the 21st Century Training in Norway

Upcoming Trainings

Data Governance Skills for the 21st Century Training in Norway

Prerequisites

Who Should Attend

What You Will Learn

Outline

12 CONCEPTS ALL DATA ENGINEERS SHOULD KNOW

Upcoming Trainings