Keeping Data Under (Your) Control with Apache Airflow
- Posted by Daitan Innovation Team
- On January 28, 2022
- Apache Airflow, Data, Data Science, Kubernetes, Machine Learning
Clients are demanding more and more insights based on their data, but to achieve that, some foundational resources need to be in place to allow more advanced analysis and techniques. There are lots of tools and disciplines related to data handling in all aspects, both on premise and as cloud services, but we see that our clients value keeping a certain level of ownership over the entire process. In this context, Apache Airflow pops up as a good candidate for addressing this business need.
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