Big Data: 3rd lecture (big data architectures, big data, small data, all data, MLOps)

Topics discussed:
- Big data architectures: MapReduce, CAP theorem, speedup through GPUs and FPGAs
- Big data, small data, all data: data quality, biases in data sets
- MLOps: project lifecycle, challenges, operations, principal components, pipelines, best practices