Ebook
Data Pipelines with Apache Airflow
We’ve both been fortunate to be data engineers in interesting and challenging times. For better or worse, many companies and organizations are realizing that data plays a key role in managing and improving their operations. Recent developments in machine learning and AI have opened a slew of new opportunities to capitalize on. However, adopting data-centric processes is often difficult, as it generally requires coordinating jobs across many different heterogeneous systems and tying everything together in a nice, timely fashion for the next analysis or product deployment.
