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Keep shoppingDatabricks Certified Associate Developer -Spark 3.0
243 students
Databricks Certified Associate Developer -Spark 3.0
Training course with Practice exercises for Databricks Certified Associate Developer -Spark 3.0( python/pyspark).
Created byKanchana Selvakumar
Last updated 6/2024
English
What you'll learn
- Spark 3.0 for the Databricks Associate Developer Certification Exam
- Learn and understand Spark Dataframe API as assessed in the exam.
- Spark architecture commonly tested in the exam.
- Anytime reference,Ready Reckoner with examples !!
- Hands on preparation with plenty of practice coding assignments after every section.
- Quiz and Q &A section at the end of every architecture lecture.
Explore related topics
Course content
12 sections • 19 lectures • 3h 17m total length
Requirements
- Any Level!
Description
Databricks Certified Associate Developer Training course.
The Databricks certified associate developer for Apache Spark certification exam needs plenty of practice.This course has
Practice exercises on the go- A course laden with writing practice ,which can then be executed on the Databricks community edition.(over 60 coding questions)
Datasets on realtime events-Learning(Understand ) and practicing(Apply) the DataFrame APIs in python using two real time datasets.
All the DataFrame APIs most commonly tested in the Databricks certified associate developer exam are taught and explained with sample code which can be tried on Databricks Community Edition.
Architecture modules( commonly tested in the Databricks certified associate developer exam) have quiz that you can partake at the end of every module to reinforce the concepts learnt, on time, every time and anytime!!
Spark Architecture is taught with creative Visualisation for better retention.
What you will cherish in this course:
-interactive, as you write on the go,
-creative, to understand better the concepts of architecture.
-over 120 minutes of practice code.
-over 200 minutes of video lessions.
All this as a ready reckoner for all your learning needs for the Databricks Associate Developer Certification on spark 3.0 in python.
DataFrame API sessions on python on the following topic modules
SparkSession.
Dataframe writer,reader.
Select,filter,where,drop,dropduplicates.
SelectExpr,withColumn,take,first.
Aggregations ,Sort,groupby,orderby.
Date and time.
UDF including lambda.
Explode,split.
Persist,Cache,Unpersist.
Architecture concepts on
Modes of deployment -visual
Partition-visual
Spark UI
-Jobs,stage,tasks.
-wide and narrow transformations.
-physical logical plans,AQE,DPP.
-Data locality.
It's an honour to help you learn spark 3.0 specific to Databricks Associate Developer Certification exam.
Disclaimer: This course is created by Kanchana Selvakumar.This is not associated or affiliated with Databricks.
Who this course is for:
- Beginner