Big Data & Data Governance
Big Data and Data Governance course: learn to manage and analyze large volumes of data for data-driven business decisions and effective market strategies.
Course description
The current era of big data is characterized by an exponential growth of data, generated in the public and private sector, on various digital platforms (web, social networks and mobile Apps).
Consequently, has increased the need to develop systems for storing, managing and analyzing big data together with innovative business analytics approaches, capable of generating knowledge and allowing companies to make decisions more effectively and to innovate own business models.
The main topics :
- Type of big data
- Historical evolution and main sources of big data
- Characteristics of big data
- Opportunities and risks in big data management
Who is the course for?
Job opportunities and roles that benefit from this course
After-sales
- After sales inspector
Design
- Electrical sw designer
- Electrical hm designer
- Mechanical designer
Sales
- After sales assistant
Staff
- Management personnel responsible
Course goals
Big Data Management
Provide knowledge, tools and methods for managing and analyzing large amounts of data to support decision-making processes within business organizations.
Data Analysis for Management
Understand the value of analysis results to cover all departments of a company transversally, transforming the data collected into useful, reliable and understandable information to support management.
Monitoring and Governance
Introduce the topic of information flow monitoring, the evaluation of anomalies and predictive governance.
Big Data: Opportunities and Risks
Increase awareness regarding the potential provided by big data, but above all the activities and methodologies that must be implemented to ensure that these potentials are exploited and do not vice versa become unmanaged risks for the business.
This course includes
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Course completion certificate
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Help desk support
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Access from mobile and tablet
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Downloadable in-depth content
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Intermediate assessment tests (optional)
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Skills assessment test (mandatory)
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Comprehensive monitoring of educational progress
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Examples of real business cases
Course completion certificate
After completing the course it is possible to obtain a downloadable certificate to display as evidence of the skills achieved. The certification can be combined according to company needs.
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Course's lecturer
Alessandro Ruberti
- PHD Candidate - Politecnico di Milano
- Lecturer - Università degli Studi di Milano
- Years of consolidated experience in data science and supply chain
Course's contents
- What is data and why is it important?
- Types of data
- Data quality
- Why worry about the database?
- Where the data comes from Characteristics of Big Data
- What makes big data valuable?
- Big data: risks and opportunities
- Big Data Applications
- Getting value from Big Data
- Building a strategy for Big Data Big
- Data & Enterprise Architecture
- What is Data Governance?
- Data Governance: definition
- Data Governance vs Data Management
- Data governance scope
- Why governance?
- Information supply chain
- Without Data Governance
- Business case on Data Governance
- Why do we talk about Data Governance?
- Why use a framework?
- Data Governance Framework Data Architecture
- Data Modeling & Design
- Data Storage & Operations Data Security
- Data Integration & Interoperability Documents & Content
- Reference & Master Data
- Data Warehousing & Business Intelligence
- Metadata
- Data Quality
- Tools
- Data governance roadmap Do we have a governance?
- How do we assess our situation? What is our strategy?
- What do we change?
- What are our vulnerabilities? How do we measure progress?
- How does it fit in the overall Architecture?
- Best practices
Entry requirements
PC / Tablet / Smartphone device
Access to any browser
Internet connection
Connected Machine Area
Discover the training courses designed specifically for the roles involved in the management of projects based on Connected Machines for the improvement of production plants and processes.
| After-sales | AI & Machine Learning | Cloud Computing | Business intelligence & OEE | Big Data & Data Governance | Information Security | Internet of Things (IoT) | Service Management |
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| Staff | AI & Machine Learning | Cloud Computing | Business intelligence & OEE | Big Data & Data Governance | Information Security | Internet of Things (IoT) | Service Management |
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