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47 min
Apache Airflow: Where Data Engineers and ML Engineers Meet
MLOps World - MLOps World & Generative AI World 2024
Tamara Fingerlin
apache-airflow
data-engineering
mlops
generative-ai
python
orchestration
pipelines
docker
retrieval-augmented-generation
llm
machine-learning
data-pipelines
28 min
QA in ML
MLOps World - MLOps World & Generative AI World 2024
Serg Masis
quality-assurance
secops
machine-learning
mlops
data-science
qa
ai
artificial-intelligence
explainable-ai
data-engineering
devops
reliability
51 min
Avoid ML OOps with ML Ops: A modular approach to scaling Forethought’s E2E ML Platform
MLOps World - MLOps World & Generative AI World 2024
Salina Wu
sagemaker
spark
dagster
feature-engineering
data-drift
mlops
machine-learning
data-engineering
devops
ci-cd
model-serving
ml-training
48 min
The Who, What, and Why of Data Lake Table Formats
MLOps World - MLOps World & Generative AI World 2024
Alex Merced
data-lakehouse
table-formats
apache-hudi
delta-lake
data-partitioning
z-order-sorting
schema-evolution
data-lake
apache-iceberg
data-management
data-engineering
metadata
48 min
Building ML and GenAI Systems with Metaflow
MLOps World - MLOps World & Generative AI World 2024
Ville Tuulos
ai-systems
ml
machine-learning
genai
generative-ai
metaflow
data-engineering
model-training
inference
python
mlops
41 min
Developing on Google Cloud with Python and DataFrames
PyCon - PyCon US 2023
Jason Davenport
python
google-cloud
bigquery
data-frames
data-engineering
analytics
cloud-computing
developer-advocacy
serverless
jupyter-notebooks
apache-iceberg
remote-functions
26 min
I Don't Want to Be a Python Expert
PyCon - PyCon US 2023
James Powell
python
generators
iterators
design-patterns
api-design
data-analysis
scientific-computing
data-engineering
scipy
numpy
pandas
xarray