Databricks Certified Associate Developer -Spark 3.0

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.