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Course Introduction
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Course Terminology
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Spark Notebooks Overview
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Spark Notebook Features
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Spark Notebook Dashboards
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Basic Notebook Tuning
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Course Conclusion
Spark for Data Scientists
This course is designed to familiarize you with Spark functionality in Qubole.
LEARNING FORMAT:
Self-paced
DESCRIPTION:
This course introduces you to key best practices related to Spark Notebooks & Tuning in Qubole. By leveraging the features provided by Spark, you’ll help your enterprise lower costs and increase the productivity of your data teams.
Estimated time to complete this course: 30 mins.
Recommended Prerequisites:
Spark Notebooks
Notebooks are often used by Data Scientists because they are convenient for quick exploration tasks. Once set up, a Notebook provides a convenient way to save, share and re-run a set of queries on a data source. In this lesson you'll learn about:
- The Spark Toolkit
- Notebook Features & Permissions
- Using Packages
- Deep Learning in Qubole
- Integrating Jars
- Notebook API
- Dashboards
Notebook Tuning
In this section you’ll learn the following key concepts for tuning Notebooks in Qubole.
- Notebook Interpreters
- Cache Management
- Data Format
- Garbage Collection
- Resource Manager & Notebook Troubleshooting
- Notebook Logs
Recommended Follow Up:
Course Version & Product Release
This course is based on Release 54 - to see the latest updates to Qubole please refer to the release notes in our documentation.