About using cloud services

Contents

• Introduction Introduction

  • Optimize data pipelines

    43s
  • What you should know

    59s
  • About using cloud services

    29s
• 1. Big Data on Azure Databricks 1. Big Data on Azure Databricks

  • Meet Databricks Apache Spark clusters

    2m 22s
  • Business scenarios for Spark

    1m 45s
  • Understand Spark key components

    2m 43s
  • Azure Databricks concepts

    5m 25s
  • Quick start: Use a notebook

    7m 7s
• 2. Core Azure Databricks Workloads 2. Core Azure Databricks Workloads

  • Review Databricks Azure cluster setup

    3m 39s
  • Use a Python notebook with dashboards

    6m 1s
  • Use an R notebook

    4m
  • Use a Scala notebook for visualization

    6m 37s
  • Use a notebook with scikit-learn

    11m 29s
  • Use a Spark Streaming notebook

    8m 53s
  • Use an external Scala library: variant-spark

    10m 26s
• 3. Scaling Azure Databricks Workloads 3. Scaling Azure Databricks Workloads

  • Understand data engineering workload steps

    3m 49s
  • Understand cluster configurations

    5m 33s
  • Understand Spark job execution overhead

    5m 54s
  • Explore optimization control planes

    5m 40s
  • Optimize a cluster and job

    4m 31s
  • Run a production-size job

    7m 32s
• 4. Data Pipelines with Azure Databricks 4. Data Pipelines with Azure Databricks

  • Use Databricks jobs and role-based control

    5m 37s
  • Use Databricks Runtime ML

    2m 52s
  • Understand ML Pipelines API

    4m 16s
  • Use ML Pipelines API

    8m 39s
  • Use distributed ML training

    9m 59s
  • Understand Databricks Delta

    3m 41s
  • Use Databricks Delta

    5m 10s
  • Use Azure Blob storage

    2m 41s
  • Understand MLflow

    7m 34s
• 5. Machine Learning Architectures 5. Machine Learning Architectures

  • Azure Databricks pipeline considerations

    2m 49s
  • Azure Databricks for data warehousing

    2m 29s
  • Azure Databricks and machine learning

    4m 20s
  • Azure Databricks for churn analysis

    2m 25s
  • Azure Databricks for intrusion detection

    3m 8s
• Conclusion Conclusion

  • Next steps

    1m 1s