Apache Spark 3 – Databricks Certified Associate Developer

Apache Spark 3 – Databricks Certified Associate Developer, available at $84.99, has an average rating of 4.64, with 36 lectures, 13 quizzes, based on 2230 reviews, and has 13608 subscribers.

You will learn about How to prepare for the Databricks Certified Associate Developer For Apache Spark 3 Certification Exam The Architecture of an Apache Spark Application Learn how Apache Spark runs on a cluster of computer Learn the Execution Hierarchy of Apache Spark Create DataFrame from files and Scala Collections Spark DataFrame API and SQL functions Learn the different techniques to select the columns of a DataFrame How to define the schema of a DataFrame and set the data types of the columns Apply various methods to manipulate the columns of a DataFrame How to filter your DataFrame based on specifics rules Learn how to sort data in a specific order Learn how to sort rows of a DataFrame in a specific order How to arrange the rows of DataFrame as groups How to handle NULL Values in a DataFrame How to use JOIN or UNION to combine two data sets How you can save the result of complex data transformations to an external storage system The different deployment modes of an Apache Spark Application working with UDFs and Spark SQL functions How to use Databricks Community Edition to write Apache Spark Code This course is ideal for individuals who are Any Developer who wants to start using Apache Spark in their career or Beginner Spark Developer seeking Big Data Certification or Developer curious about Data Engineering and Data Science It is particularly useful for Any Developer who wants to start using Apache Spark in their career or Beginner Spark Developer seeking Big Data Certification or Developer curious about Data Engineering and Data Science.

Enroll now: Apache Spark 3 – Databricks Certified Associate Developer

Summary

Title: Apache Spark 3 – Databricks Certified Associate Developer

Price: $84.99

Average Rating: 4.64

Number of Lectures: 36

Number of Quizzes: 13

Number of Published Lectures: 35

Number of Published Quizzes: 12

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 47

Number of Practice Tests: 2

Number of Published Practice Tests: 1

Original Price: €19.99

Quality Status: approved

Status: Live

What You Will Learn

How to prepare for the Databricks Certified Associate Developer For Apache Spark 3 Certification Exam
The Architecture of an Apache Spark Application
Learn how Apache Spark runs on a cluster of computer
Learn the Execution Hierarchy of Apache Spark
Create DataFrame from files and Scala Collections
Spark DataFrame API and SQL functions
Learn the different techniques to select the columns of a DataFrame
How to define the schema of a DataFrame and set the data types of the columns
Apply various methods to manipulate the columns of a DataFrame
How to filter your DataFrame based on specifics rules
Learn how to sort data in a specific order
Learn how to sort rows of a DataFrame in a specific order
How to arrange the rows of DataFrame as groups
How to handle NULL Values in a DataFrame
How to use JOIN or UNION to combine two data sets
How you can save the result of complex data transformations to an external storage system
The different deployment modes of an Apache Spark Application
working with UDFs and Spark SQL functions
How to use Databricks Community Edition to write Apache Spark Code

Who Should Attend

Any Developer who wants to start using Apache Spark in their career
Beginner Spark Developer seeking Big Data Certification
Developer curious about Data Engineering and Data Science

Target Audiences

Any Developer who wants to start using Apache Spark in their career
Beginner Spark Developer seeking Big Data Certification
Developer curious about Data Engineering and Data Science

Do you want to learn how to handle massive amounts of data at scale?

Learn Apache Spark 3 and pass the Databricks Certified Associate Developer for Apache Spark 3.0

Hi, My name is Wadson, and I’m a Databricks Certified Associate Developer for Apache Spark.

Apache Spark has become the standard big-data cluster processing framework in today’s data-driven world.

Apache Spark is used for Data Engineering, Data Science, and Machine Learning.

I will teach you everything you need to know about starting with Apache Spark.

You will learn the Architecture of Apache Spark and use its Core APIs to manipulate complex data.
You will write queries to perform transformations such as Join, Union, GroupBy, and more.

This course is for beginners.
You don’t need any previous knowledge of Apache Spark.

Notebooks are available to download so that you can follow along with me in the videos.

The Notebooks contain all the source code I use in the course.

There are also Quizzes to help you assess your understanding of the topics.

Check Out some of the top reviews and enroll in the course.

“This course is really helpful with all the necessary details needed for the Certification: Databricks Certified Associate Developer for Apache Spark 3.0.

I’ve cleared the certification with 80% score and I’d suggest to check all the Course contents thoroughly”

“Very good course. Gives a good overview of all the necessary components of the spark application which are required for the test and that too in very short span of time. will highly recommend this course.

worth spending time !!”

Course Curriculum

Chapter 1: Apache Spark Architecture: Distributed Processing

Lecture 1: What You Will Learn In This Section

Lecture 2: Distributed Processing: How Apache Spark Runs On A Cluster

Lecture 3: Azure Databricks: How To Create A Cluster

Lecture 4: Databricks Community Edition: How To Create A Cluster

Chapter 2: Apache Spark Architecture: Distributed Data

Lecture 1: Install the course Dataset and Notbooks

Lecture 2: Distributed Data: The DataFrame

Lecture 3: How To Define The Structure Of A DataFrame

Chapter 3: DataFrame Transformations

Lecture 1: Selecting Columns

Lecture 2: Renaming Columns

Lecture 3: Change Columns data type

Lecture 4: Adding Columns to a DataFrame

Lecture 5: Removing Columns from a DataFrame

Lecture 6: Basics Arithmetic with DataFrame

Lecture 7: Apache Spark Architecture: DataFrame Immutability

Lecture 8: How To Filter A DataFrame

Lecture 9: Apache Spark Architecture: Narrow Transformations

Lecture 10: Dropping Rows

Lecture 11: Handling Null Values Part I – Null Functions

Lecture 12: Handling Null Values Part II – DataFrameNaFunctions

Lecture 13: Sort and Order Rows – Sort & OrderBy

Lecture 14: Create Group of Rows: GroupBy

Lecture 15: DataFrame Statistics

Lecture 16: Joining DataFrames – Inner Join

Lecture 17: Joining DataFrames – Right Outer Join

Lecture 18: Joining DataFrames – Left Outer Join

Lecture 19: Appending Rows to a DataFrame – Union

Lecture 20: Cahing a DataFrame

Lecture 21: DataFrameWriter Part I

Lecture 22: DataFrameWriter Part II – PartitionBy

Lecture 23: User Defined Functions

Chapter 4: Apache Spark Architecture: Execution

Lecture 1: Query Planning

Lecture 2: Execution Hierarchy

Lecture 3: Partioning a DataFrame

Lecture 4: Adaptive Query Execution – An Introductuction

Chapter 5: Exam Logistics

Lecture 1: Exam Logistics

Chapter 6: Practice Exams Scala

Instructors

Wadson Guimatsa
Data Engineer

Rating Distribution

1 stars: 19 votes
2 stars: 33 votes
3 stars: 217 votes
4 stars: 889 votes
5 stars: 1072 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu