Databricks Certified Associate Developer – Apache Spark 2022

How to get certified as an Apache Spark developer with Databricks with this step by step guide and hands-on labs

What you’ll learn

Databricks Certified Associate Developer – Apache Spark 2022

Databricks Exam information for the Certified Associate Developer for Apache Spark exam.
Setting up the Databricks Platform to practice with.
Selecting, renaming, and changing columns with the Spark Data Frame APIs.
Using Spark Data Frame APIs, you can filter, drop, sort, and aggregate rows.
Using Spark Data Frame APIs, you can join, read, write, and divide DataFrames.

Requirements

Python is used for basic programming.
A good laptop with a steady internet connection.
Valid Databricks Accounts with AWS Azure or GCP are very important.

Description

Getting certified as a Databricks Certified Associate Developer for Apache Spark is one of the hardest exams to pass. It’s very good at testing how well you know not just Data Frame APIs, but also how well you use them as part of Data Engineering Solutions. This makes the Databricks Associate certification very valuable to have and pass. If you don’t believe me, I’ve already passed it myself with a score of 90%.

If you pass the Databricks Certified Associate Developer for Apache Spark exam, you’ll get a lot of good things.

This Databricks Certified Associate Developer for Apache Spark is different from the other courses that teach you how to work with Apache Spark. You are a better judge than me.

To start, we’ll make sure we have the right environment based on Databricks so we can practice, If you don’t have the environment, don’t worry.
A Data Engineer who works with Databricks Platform will learn how to use Data Frame APIs inside and out in this book.
When you read this book, you learn how to study for the Databricks test and how to study for the real world, too!
It moves in a logical way, not like a list of random services.
It’s fast-paced and to the point.
All of the information will be put into a Databricks Archive and can be found there. Then, just put it on your platform and use it right away.

What we’ll learn to pass the Databricks Certified Associate Developer for Apache Spark test:

Azure is used to setting up a Databricks environment.
Use the Databricks CLI and a few important commands to work with DBFS.
This is a list of APIs that are important for the exam.
All of the important and most used APIs for selecting, renaming, and manipulating columns in a Data Frame.
Data Frame APIs that let you filter, drop, sort, and aggregate rows.
All the things you do with DataFrames can be done with DataFrame APIs.
When you work with UDFs and Spark SQL Functions.
It’s important to know Apache Spark Architectural Concepts for the test.
Adaptive Query Execution, which has been around for a while now.
Tips and strategies to help you do well on the test.

This Databricks Certified Associate Developer for Apache Spark course has a lot of ways for you to put what you learn into practice:

There are a lot of hands-on lessons in each section.
You get advice from Databricks at the end of the course on how to use Mock Test to get certified as an Apache Spark developer.
A single node cluster will be the main tool we use for most of our work. If you use it, it will cost you money.
During some parts, I’ll show you how to go outside of the Single Node. You know, in the real world!

Who this course is for:

Python programmers and data engineers who want to learn more about Spark Data Frame APIs will find this book useful.
Prepared: Python developers or data engineers who want to become Databricks-Certified Associate Developers for Spark in Python.
They want to learn more about using Spark on the Databricks platform.

Databricks Certified Associate Developer – Apache Spark 2022 FreeCourseSites.us

 

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