Dependency Management On Google Cloud With Qubole

Learn how Qubole streamlines dependency management for data science tasks on Google Cloud, making setup and deployment effortless.

What You’ll Learn:

Effortless Environment Setup:
- Discover how Qubole simplifies the process of setting up Conda environments and attaching Spark or Hadoop clusters, enabling self-service deployment of data science workloads on Google Cloud.
Elastic Cluster Provisioning:
- Explore Qubole’s on-demand Apache Spark and Hadoop clusters on Google Cloud, featuring lazy upscaling and aggressive downscaling for optimized resource utilization.
Custom Package Integration:
- Learn how to add custom packages to your Conda environment effortlessly, with pre-installed packages like matplotlib, pandas, and scikit-learn readily available for use.
Package Management Made Easy:
- Understand how Qubole allows you to seamlessly add packages like TensorFlow to your environment, specifying versions and associating them with your clusters effortlessly.

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