Introduction
- Origin of Big Data
- Areas of application
- Success stories
A Big Data Project
- Attention, it's not just a technical problem
- Let's create our first big data application
- Let's understand the different key steps
- Acquisition
- Cleaning
- Consolidation
- Aggregation
- Storage
- Analysis
- Extraction
- Publication
Storing the data
- the different storage tools
- The NoSQL revolution, the different families
Notebooks
Data management
- Definition of a data
- Data processing in batch mode (Hadoop and spark)
- Streaming, kafka and flink
- The Datalake
- The stakes and the different zones
- Storage formats
- Lambda and kappa architecture
Big Data in the company
- Malfunctions
- The failure of exploratory approaches
- Governance and security
- Successfully adopt the datalake