Data Engineering using Databricks on AWS and Azure
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 5.65 GB | Duration: 13h 50m

What you'll learn
Data Eeering leveraging Databricks features
Databricks CLI to manage files, Data Eeering jobs and clusters for Data Eeering Pipelines
Deploying Data Eeering applications developed using PySpark on job clusters
Deploying Data Eeering applications developed using PySpark using Notebooks on job clusters
Perform CRUD Operations leveraging Delta Lake using Spark SQL for Data Eeering Applications or Pipelines
Perform CRUD Operations leveraging Delta Lake using Pyspark for Data Eeering Applications or Pipelines
Setting up development environment to develop Data Eeering applications using Databricks
Building Data Eeering Pipelines using Spark Structured Streaming on Databricks Clusters
Incremental File Processing using Spark Structured Streaming leveraging Databricks Auto Loader cloudFiles
Overview of Auto Loader cloudFiles File Discovery Modes - Directory Listing and File Notifications
Differences between Auto Loader cloudFiles File Discovery Modes - Directory Listing and File Notifications
Differences between traditional Spark Structured Streaming and leveraging Databricks Auto Loader cloudFiles for incremental file processing.

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