Data Engineering is fast emerging as the most critical function in Analytics and Machine Learning programs. The ability to build and manage data pipelines for streaming and batch data sets are critical for the downstream success of your ML applications.
In this webinar, you will learn how to use Qubole’s cloud-native platform to acquire and transform data sets for data science and analytics, make data sets available to different users, and fully leverage your data lake throughout your organization. Our experts will also walk through a real-world example of how to use Apache Spark and Airflow, as well as Notebooks, to build an end-to-end solution.
Attendees will learn how to:
+ Ingest data to/from a cloud storage data lake
+ Perform interactive data analysis and build AI/ML models
+ Transform data sets with Spark and build interactive dashboards
+ Seamlessly interact with other data sources
+ Deploy end-to-end data pipeline using Apache Airflow