Big Data Fundamentals Training in Finland

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Big data is a hot topic in BI and analytics. Yet it is a complex topic that is still in the early stages of evolution. Successful big data projects that deliver real business value are challenged by multiple definitions and rapidly shifting technologies. Achieving good return on your big data investment requires strategy that focuses on purpose, people, and process before exploring data and technologies. Strategy drives planning and architecture to ensure that big data complements and does not disrupt the existing BI and analytics environment. To prepare for success with big data, start by understanding all of the pieces and how they fit together.

There are no prerequisites for this course.

Business and data analysts; BI and analytics program and project managers; BI and data warehouse architects, designers, and developers; data governance and data quality professionals getting started with big data; anyone seeking to cut through the hype to understand the opportunities, challenges, and realities of the big data phenomenon.

  • Common definitions of big data and the implications of each
  • Key characteristics of big data and why size is not among the top five
  • The structures that can be found in “unstructured” data
  • Types of big data sources—streaming data, social data, sensor data, etc.
  • Value opportunities and common applications for big data
  • Considerations when adapting architectures, organizations, and cultures to incorporate big data
  • The scope of big data processes, tools, and technologies

Module 1 – Big Data Basics

  • What Is Big Data?
    • Definitions
    • Characteristics (3 V’s plus 2) 
    • Types of Big Data
  • Why Big Data Analytics – Extending Advanced Analytics Capabilities
  • Big Data Use Cases
    • Customer Understanding and Targeting
    • Business Process Optimization
    • Healthcare Advances
    • Law Enforcement and Public Safety
    • Sports Performance Improvement
    • Public Transportation and Infrastructure Advances
  • Why Big Data Now? – The Driving Forces
  • Kinds of Big Data – Data Variety
  • Sources of Big Data
    • Web and Social Media
    • Machine to Machine
    • Other Sources (Big Transaction Data, Biometrics, Human Generated Data,
    • Publicly Available Data, Legacy Documents)
  • Working with Big Data – The Big Picture


Module 2 – Big Data Processes

  • Business Case
    • Business Needs and Opportunities
    • Areas of Insight
    • Expected Outcomes
    • Business Value Projection
  • Technical Case – Big Data Rationale
  • Data Sourcing – Getting Big Data
  • Data Preparation and Storage
    • Data Selection
    • Data Cleansing
    • Data Integration
    • Data Reduction
  • Big Data Analytics
    • Problem Framing
    • Analytic Purpose
    • Analytic Modeling
    • Data Visualization
    • Consumption and Application


Module 3 – Big Data Architecture

  • The Role of Architecture
    • What and why
  • Data Architecture
  • Data Storage
  • Data Access
  • Data Analysis
  • Data Consumption
    • Process Architecture
    • Data Governance Processes
  • Data Integration and Quality
    • Analytics Architecture
    • Machine Learning
    • Predictive Analytics
    • Prescriptive Analytics
    • Descriptive Analytics
    • Reporting
  • Technology Architecture
    • Search and Visualization
    • Data Management and Data Access
    • Hadoop and NoSQL
  • Big Data ... Big Architecture – Summary


Module 4 – Big Data Technology 

  • The Technology Landscape – Overview
  • Infrastructure
    • Databases
    • Development and Deployment Environment
  • Analytics – Data Analysis
  • Data Sources – Big Data Providers
  • The Core Technologies
    • MapReduce
    • Hadoop


Module 5 – Getting Started with Big Data

  • Readiness Assessment – Check Your Position
  • Planning and Preparation – Charting the Course
  • Execution – Navigating the Course
  • Post-Project Activities – At the Destination
  • Best Practices – Lessons Learned
  • Mistakes to Avoid – More Lessons Learned


Module 6 – Summary and Conclusion

  • Summary of Key Points – A Quick Review
  • References and Resources – To Learn More


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Finland facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
16 toukokuuta 2024
Helsinki, Espoo
1 Day
Classroom / Virtual Classroom
26 kesäkuuta 2024
Helsinki, Espoo
1 Day
Classroom / Virtual Classroom
04 elokuuta 2024
Helsinki, Espoo
1 Day
Classroom / Virtual Classroom
02 elokuuta 2024
Helsinki, Espoo
1 Day
Classroom / Virtual Classroom
05 elokuuta 2024
Helsinki, Espoo
1 Day
Classroom / Virtual Classroom
17 elokuuta 2024
Helsinki, Espoo
1 Day
Classroom / Virtual Classroom
18 elokuuta 2024
Helsinki, Espoo
1 Day
Classroom / Virtual Classroom
01 syyskuuta 2024
Helsinki, Espoo
1 Day
Big Data Fundamentals 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.
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