Join Lynn Langit for an in-depth discussion in this video About using cloud services, part of Azure Databricks Essential Training.
- [Instructor] In this course we're going to be working with cloud services. Although you can start with an Azure trial account and that's always a good way to get started. Some of the features that we're going to be looking at do require a premium Azure Databricks account and I'll call those out as we go through this course. Also when you're done studying be sure to turn off and delete unused services so that you're not getting unexpected charges on your Azure bill.
Author
Lynn Langit
Released
1/31/2019- Business scenarios for Apache Spark
- Setting up a cluster
- Using Python, R, and Scala notebooks
- Scaling Azure Databricks workflows
- Data pipelines with Azure Databricks
- Machine learning architectures
- Using Azure Databricks for data warehousing
Skill Level Intermediate
Duration
Views
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Introduction
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1. Big Data on Azure Databricks
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Business scenarios for Spark1m 45s
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Azure Databricks concepts5m 25s
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2. Core Azure Databricks Workloads
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Use a notebook with scikit-learn11m 29s
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3. Scaling Azure Databricks Workloads
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Optimize a cluster and job4m 31s
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Run a production-size job7m 32s
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4. Data Pipelines with Azure Databricks
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Use Databricks Runtime ML2m 52s
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Understand ML Pipelines API4m 16s
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Use ML Pipelines API8m 39s
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Use distributed ML training9m 59s
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Understand Databricks Delta3m 41s
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Use Databricks Delta5m 10s
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Use Azure Blob storage2m 41s
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Understand MLflow7m 34s
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5. Machine Learning Architectures
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Conclusion
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Next steps1m 1s
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Video: About using cloud services