Data Governance Skills for the 21st Century, Finland

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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

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

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.

Data Governance Skills for the 21st Century Training in Finland

Upcoming Trainings

Data Governance Skills for the 21st Century Training in Finland

Prerequisites

Who Should Attend

What You Will Learn

Outline

12 CONCEPTS ALL DATA ENGINEERS SHOULD KNOW

Upcoming Trainings