Coursera
SubscriptionData Engineering, Big Data, and Machine Learning on GCP
Course4.6155kINTERMEDIATE
Coursera Plus
View course →Databricks Fundamentals & Apache Spark Core
4.4(3,195)31k studentsBEGINNEREnglish
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The course treats Databricks as the practical place to write Spark, since it provides a managed and optimised version of the engine in the cloud. You start by running code on Databricks and reading and writing files in DBFS, then move on to the DataFrame API and SQL for everyday data work.
Beginners who want a first hands-on look at Spark with Scala and SQL will find the scope manageable. It is also a reasonable refresher for analysts moving onto Databricks who need the DataFrame basics explained in one place.
The description cites Spark 2.4 and 3.0.0, so confirm how the current Databricks environment differs from those versions.
Welcome to this course on Databricks and Apache Spark 2.4 and 3.0.0
Apache Spark is a Big Data Processing Framework that runs at scale.
In this course, we will learn how to write Spark Applications using Scala and SQL.
Databricks is a company founded by the creator of Apache Spark.
Databricks offers a managed and optimized version of Apache Spark that runs in the cloud.
The main focus of this course is to teach you how to use the DataFrame API & SQL to accomplish tasks such as:
Write and run Apache Spark code using Databricks
Read and Write Data from the Databricks File System - DBFS
Explain how Apache Spark runs on a cluster with multiple Nodes
Use the DataFrame API and SQL to perform data manipulation tasks such as
Selecting, renaming and manipulating columns
Filtering, dropping and aggregating rows
Joining DataFrames
Create UDFs and use them with DataFrame API or Spark SQL
Writing DataFrames to external storage systems
List and explain the element of Apache Spark execution hierarchy such as
Jobs
Stages
Tasks
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Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.
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Data Engineering, Big Data, and Machine Learning on GCP
