Practice exercises on the go- A course laden with writing practice ,which can then be executed on the Databricks community edition.

Datasets on realtime events-Learning and practicing the DataFrame APIs in python using two real time datasets.

All the DataFrame APIs most commonly tested in the exam are taught and explained with sample code which can be tried on Databricks Community Edition.

Architecture modules 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 using creative done videos 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 116 minutes of practice code.

-over 180 min 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.

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 this certification exam.

Disclaimer: This course is created by Kanchana Selvakumar.This is not associated or affiliated with Databricks.