Apache Spark – Beyond Basics and Cracking Job Interviews

Apache Spark – Beyond Basics and Cracking Job Interviews, available at $89.99, has an average rating of 4.66, with 27 lectures, 4 quizzes, based on 2942 reviews, and has 19400 subscribers.

You will learn about Apache Spark 3 Advanced Topics and Concept Deep Dive in to Spark 3 Architecture and Memory Management Learn AQE, DPP, Broadcast, Accumulators, and Multithreading in Spark 3 Common Job Interview Questions and Answers This course is ideal for individuals who are Anyone who wants to learn and develop Advanced Skills in Apache Spark or Those wo are preparing for Job Interviews and want to learn advanced skills It is particularly useful for Anyone who wants to learn and develop Advanced Skills in Apache Spark or Those wo are preparing for Job Interviews and want to learn advanced skills.

Enroll now: Apache Spark – Beyond Basics and Cracking Job Interviews

Summary

Title: Apache Spark – Beyond Basics and Cracking Job Interviews

Price: $89.99

Average Rating: 4.66

Number of Lectures: 27

Number of Quizzes: 4

Number of Published Lectures: 25

Number of Published Quizzes: 4

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 29

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Apache Spark 3 Advanced Topics and Concept
Deep Dive in to Spark 3 Architecture and Memory Management
Learn AQE, DPP, Broadcast, Accumulators, and Multithreading in Spark 3
Common Job Interview Questions and Answers

Who Should Attend

Anyone who wants to learn and develop Advanced Skills in Apache Spark
Those wo are preparing for Job Interviews and want to learn advanced skills

Target Audiences

Anyone who wants to learn and develop Advanced Skills in Apache Spark
Those wo are preparing for Job Interviews and want to learn advanced skills

Are you preparing for Databricks Spark Certification?

Or, you might be preparing for Spark Job Interviews.

Or you are looking for a place where you can learn Spark Architecture, Internals and advanced topics.

You are at the right place.

I designed this course with the following objectives.

Learn Advanced Spark Skills
Prepare for advanced Certification topics
Prepare and crack Spark Job Interviews

This course is not for beginners.

So if you are a beginner and want to learn from scratch, you should take my PySpark – Apache Spark Programming in Python for beginners course.

In this course, you will learn some advanced Spark skills that I have already collected as feedback from various students and professionals. This course also covers some advanced topics and concepts that are asked in the Databricks Spark certification exam. So PySpark – Apache Spark Programming in Python for beginners and Apache Spark – Beyond Basics and Cracking Job Interviews together cover 100% of the Databriks Certified Spark Developer Associate certification curriculum.

Many of the concepts covered in this course are part of the Data Engineering job interviews for Spark Developers.

So this course will also help you crack the Spark Developer and Data Engineer Job interviews.

Looking forward to seeing you on the course.

Keep Learning and Keep Growing.

Course Curriculum

Chapter 1: Before your begin

Lecture 1: Course Introduction

Chapter 2: Spark Architecture

Lecture 1: Spark Cluster Runtime Architecture

Lecture 2: Spark Submit and Important Options

Lecture 3: Deploy Modes – Client and Cluster mode

Lecture 4: Spark Jobs – Stage, Shuffle, Task, Slots

Lecture 5: Spark SQL Engine and Query Planning

Lecture 6: Lets Practice – Quiz 1 Solution Video

Lecture 7: Lets Practice – Quiz 2 Solution Video

Chapter 3: Performance and Applied Understanding

Lecture 1: Spark Memory Allocation

Lecture 2: Spark Memory Management

Lecture 3: Spark Adaptive Query Execution

Lecture 4: Spark AQE Dynamic Join Optimization

Lecture 5: Handling Data Skew in Spark Joins

Lecture 6: Spark Dynamic Partition Pruning

Lecture 7: Data Caching in Spark

Lecture 8: Repartition and Coalesce

Lecture 9: Dataframe Hints

Lecture 10: Broadcast Variables

Lecture 11: Accumulators

Lecture 12: Speculative Execution

Lecture 13: Dynamic Resource Allocation

Lecture 14: Spark Schedulers

Lecture 15: Unit Testing in Spark

Lecture 16: Lets Practice – Quiz 3 Solution Video

Lecture 17: Lets Practice – Quiz 4 Solution Video

Instructors

Prashant Kumar Pandey
Architect, Author, Consultant, Trainer @ Learning Journal
Learning Journal
Online Training Company

Rating Distribution

1 stars: 13 votes
2 stars: 11 votes
3 stars: 162 votes
4 stars: 945 votes
5 stars: 1811 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!

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