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[ FreeCourseWeb.com ] Data Engineering using Databricks features on AWS and Azure

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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 114 lectures (8h 55m) | Size: 3.42 GB
Build Data Engineering Pipelines using Databricks core features such as Spark, Delta Lake, cloudFiles, etc
What you'll learn:
Data Engineering leveraging Databricks features
Databricks CLI to manage files, Data Engineering jobs and clusters for Data Engineering Pipelines
Deploying Data Engineering applications developed using PySpark on job clusters
Deploying Data Engineering applications developed using PySpark using Notebooks on job clusters
Perform CRUD Operations leveraging Delta Lake using Spark SQL for Data Engineering Applications or Pipelines
Perform CRUD Operations leveraging Delta Lake using Pyspark for Data Engineering Applications or Pipelines
Setting up development environment to develop Data Engineering applications using Databricks
Building Data Engineering Pipelines using Spark Structured Streaming on Databricks Clusters

Requirements
Programming experience using Python
Data Engineering experience using Spark
Ability to write and interpret SQL Queries
This course is ideal for experience data engineers to add Databricks as one of the key skill as part of the profile

Description
As part of this course, you will learn all the Data Engineering using cloud platform-agnostic technology called Databricks.

About Data Engineering

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by Portal
    on 2021-10-20 14:41:24
avatar5% left please?:_pacman
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