Discover the origins of big data, discuss exiting and new projects, share common use cases for those projects, and explain how you can modernize your architecture using data analytics, data operations, data engineering and data science.
Big Data Fundamentals is your prerequisite to building a modern platform for machine learning and analytics optimized for the cloud.
Stretch your brain with a packed agenda:
- Open source software
- Data storage
- Data ingestion
- Data analytics
- Data engineering
- IoT and life after Lambda architectures
- Data science
- Cybersecurity
- Cluster management
- Big data in the cloud
- Success stories