End-to-End Data Engineering with Google Cloud
Data engineering is the process of designing, building, and maintaining data pipelines to ensure that data is available for analysis. Data engineering is a critical part of any data science or machine learning project, and it requires a deep understanding of the different tools and technologies available.
In this session, we will provide an overview of the different Google Cloud products that can be used to build end-to-end data engineering pipelines - from Pub/Sub for message ingestion to Dataflow and Dataproc for data processing, BigQuery for data analytics to Looker for data visualization.
Finally, we will discuss how to use Vertex AI to build machine learning models that can be used to make predictions and recommendations.
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- Speaker:
- Jernej (J.K.) Kaše
- Podjetje