Databricks Certified Associate Developer - Apache Spark 

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Get Details related to Databricks Certified Associate exam for Spark Developer

Overview of Databricks Certified Associate for Apache Spark Curriculum

Resources to prepare for Databricks Certified Associate Spark Developer Exam

Exam Details for Databricks Certified Associate Developer for Apache Spark

Registering for Databricks Certified Associate Developer for Apache Spark

Setup Databricks Platform using Azure

Prerequisites for the Databricks Spark Developer Certification

Create Single Node Cluster to explore Spark APIs

Getting Started with Databricks Notebooks

Setup Databricks Certification Course Material

Quick Tour of Course Material using Databricks Notebooks

Install and Configure Databricks CLI

Interacting with File System using CLI

Setup Retail Datasets using Databricks CLI

Validate Data Sets using Databricks Notebooks

Create Spark Dataframes using Python Collections and Pandas Dataframes

Create Single Column Spark Dataframe using List

Create Multi Column Spark Dataframe using List

Overview of Spark Row

Convert List of Lists into Spark Dataframe using Row

Convert List of Tuples into Spark Dataframe using Row

Convert List of Dicts into Spark Dataframe using Row

Overview of Basic Data Types in Spark

Specifying Schema for Spark Dataframe using String

Specifying Schema for Spark Dataframe using List

Specifying Schema using Spark Types

Create Spark Dataframe using Pandas Dataframe

Overview of Special Data Types in Spark

Array Type Columns in Spark Dataframes

Map Type Columns in Spark Dataframes

Struct Type Columns in Spark Dataframes

Specifying Schema while creating Data Frames

Selecting and Renaming Columns in Spark Data Frames - Introduction

Creating Spark Data Frame to Select and Rename Columns

Overview of Narrow and Wide Transformations

Overview of Select on Spark Data Frame

Overview of selectExpr on Spark Data Frame

Referring Columns using Spark Data Frame Names

Understanding col function in Spark

Invoking Functions using Spark Column Objects

Understanding lit function in Spark

Overview of Renaming Spark Data Frame Columns or Expressions

Naming derived columns using withColumn

Renaming Columns using withColumnRenamed

Renaming Spark Data Frame columns or expressions using alias

Renaming and Reordering multiple Spark Data Frame Columns

Manipulating Columns in Spark Data Frames - Introduction

Predefined Functions using Spark Data Frame APIs

Create Dummy Data Frame

Categories Of Functions to Manipulate Columns in Spark Data Frames

Getting Help on Spark Functions

Special Functions col and lit using Spark

Common String Manipulation Functions

Extracting Strings using substring from Spark Data Frame Columns

Extracting Strings using split from Spark Data Frame Columns

Padding Characters around strings in Spark Data Frame Columns

Trimming Characters from strings in Spark Data Frame Columns

Date and Time Manipulation Functions using Spark Data Frames

Date and Time Arithmetic using Spark Data Frames

Using date and time trunc functions on Spark Data Frames

Date and Time Extract Functions on Spark Data Frames

Using to_date and to_timestamp on Spark Data Frames

Using date_format Function on Spark Data Frames

Dealing with Unix Timestamp in Spark Data Frames

Dealing with nulls in Spark Data Frames

Using CASE and WHEN on Spark Data Frames

Filtering Data from Spark Data Frames - Introduction

Creating Spark Data Frame for Filtering

Overview of Filter or Where Function on Spark Data Frame

Overview of Conditions and Operators related to Spark Data Frames

Filter using Equal Condition on Spark Data Frames

Filter using Not Equal Condition on Spark Data Frames

Filter using Between Operator on Spark Data Frames

Dealing with Null Values while Filtering Data in Spark Data Frames

Overview of Boolean Operations

Boolean OR on same column of Spark Data Frame and IN Operator

Filtering with Greater Than and Less Than on Spark Data Frames

Boolean AND Condition on Spark Data Frames

Boolean OR on different columns of a Spark Data Frame