Apache Spark 3 - Databricks Certified Associate Developer

[LeeAndro]

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | Size: 2.17 GB | Duration: 4h 32m

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

What you'll 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

Requirements

Basic Scala Knowledge

Basic data skills

NO Previous Spark Knowledge

Description

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 3.0

In today's data-driven world, Apache Spark has become the standard big-data cluster processing framework.

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

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

You will learn the Architecture of Apache Spark and use it's Core APIs to manipulate complex data.

You will write queries to perform transformations such as Join, Union, GroupBy, and more.

This course is for bners.

You do not need previous knowledge of Apache Spark.

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

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

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

Who this course is for:

Any Developer who wants to start using Apache Spark in their career

Bner Spark Developer seeking Big Data Certification

Developer curious about Data Eeering and Data Science



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