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Apache Spark 3 Advance Skills for Cracking Job Interviews [Video]

Apache Spark 3 Advance Skills for Cracking Job Interviews: Learn PySpark Advanced Skills and Prepare for Certification along with Job Interviews

Scholar Nest

By Scholar Nest

€67.99

Video Feb 2022 3 hours 47 minutes 1st Edition

Renews at €18.99p/m

Scholar Nest

By Scholar Nest

€67.99

Video Feb 2022 3 hours 47 minutes 1st Edition

Renews at €18.99p/m

Renews at €18.99p/m

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

View table of contents

Key benefits

Practice common job interview questions and answers
Deep dive into Spark 3 architecture and memory management
Prepare for Databricks Spark certification in a structured way

Description

Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at a massive scale. It has quickly become the largest open-source community in big data. So, mastering Apache Spark opens a wide range of professional opportunities. This course covers some advanced topics and concepts such as Spark 3 architecture and memory management, AQE, DPP, broadcast, accumulators, and multithreading in Spark 3 along with common job interview questions and answers. The objective of this course is to prepare you for advanced certification topics. By the end of this course, you will have learned some advanced topics and concepts that are asked for in the Databricks Spark Certification or Spark job interviews. This will not only help you develop advanced skills in Apache Spark but also crack your job interviews.

What you will learn

Learn AQE, DPP, Broadcast in Spark 3
Explore Spark 3 architecture
Understand memory management in Spark 3
Learn Spark AQE Dynamic Join Optimization
Explore accumulators and multithreading in Spark
Discover Spark Dynamic Partition Pruning

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Feb 17, 2022

Length 3 hours 47 minutes

Edition : 1st Edition

Language : English

ISBN-13 : 9781803241555

Category :

Concepts :

Tools :

Apache Spark (Intermediate) , PySpark (Intermediate)

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Table of Contents

4 Chapters

1. Before You Begin

Course Introduction

2. Spark Architecture

Spark Cluster and Runtime Architecture

Spark Submit and Important Options

Deploy Modes - Client and Cluster Mode

Spark Jobs - Stage, Shuffle, Task, Slots

Spark SQL Engine and Query Planning

Let's Practice - Quiz 1 Solution Video

Let's Practice - Quiz 2 Solution Video

3. Performance and Applied Understanding

Spark Memory Allocation

Spark Memory Management

Spark Adaptive Query Execution

Spark AQE Dynamic Join Optimization

Handling Data Skew in Spark Joins

Spark Dynamic Partition Pruning

Data Caching in Spark

Repartition and Coalesce

Dataframe Hints

Broadcast Variables

Speculative Execution

Dynamic Resource Allocation

Spark Schedulers

Let's Practice - Quiz 3 Solution Video

Let's Practice - Quiz 4 Solution Video

4. Open-Ended Topics

Help Me Add More Content - Demand for More

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About the author

Scholar Nest

Scholar Nest

ScholarNest is a small team of people passionate about helping others learn and grow in their careers by bridging the gap between their existing and required skills. Together, they have over 40+ years of experience in IT as a developer, architect, consultant, trainer, and mentor. They have worked with international software services organizations on various data-centric and Big Data projects. It is a team of firm believers in lifelong continuous learning and skill development. To popularize the importance of continuous learning, they started publishing free training videos on their YouTube channel. They conceptualized the notion of continuous learning, creating a journal of our learning under the Learning Journal banner.

See other products by Scholar Nest

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