Big Data Fundamentals
Big Data Fundamentals (1 day)
This course provides a fundamental understanding of Big Data such as: What is Big Data? How do we deal with Big Data? Why does Big Data, Machine Learning and Cloud Computing merge into a symbiosis? What is a Big Data platform? How do we maximize data-driven business results at scale?
The course provides guidelines for helping unleash the power of digitalization, for unlocking the promise of big data, for turning unprecedented data streams into actionable insights, and for being prepared in the big data tool jungle. We also look beyond volume, variety, velocity, and veracity of data: The ultimate objective of any big data analytics project should be to generate some sort of value. We address operating efficiency to make sure that big data initiatives are not just performing some technological task for technology’s sake.
Course Outline
- Big Data, Smart Data, Machine Learning, IoT: definitions and assessments
- Digital transformation and data streams: where does the journey lead us?
- How to master multiple data types, channels, sources and resources
- Big Data architectures and technology overview
- Machine Learning more than just algorithms
- Big Data operationalization: challenges and pitfalls
- Big Data Analytics in action: best practices
- Operating models and Big Data Analytics
- Operating efficiencies
- Big Data and data privacy
Who should attend
Managers and executives who want to embed analytics into their operating model and maximize data-driven business results at scale. Project managers and information technology professionals who need to get started with big data analytics and want to make better use of their data.
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