Databricks Certified Associate Developer for Apache Spark 3

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Aviral Bhardwaj

4:15:26

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1. Introduction

1. Introduction of Databricks Certified Course.mp4

01:46

2. Databricks Exam Structure.mp4

04:24

2. Databricks Workspace Creation

1. Azure Databricks Creation.mp4

04:08

2. Understanding Databricks Workspace.mp4

26:52

3. Community Edition SignUp.mp4

04:57

4. Creating Cluster And Running First Code.mp4

06:07

3. Databricks Architecture

1.1 Spark Arch 2.pdf

1.2 Spark Arch.pdf

1. Understanding Databricks Architecture.mp4

20:57

4. Basics Concepts

1.1 dbr arch faq.pdf

1. Take Aways from Last Lecture.mp4

08:17

2.1 Must Read Spark Basics PDF.pdf

2.2 RDD and DataFrame and Dataset.pdf

2. RDD and DataFrame and Dataset.mp4

04:15

3. Databricks Transformation and Action.mp4

01:58

5. Apache Spark API Creating Dataframes

1. Creating DataFrame API and Lecture.mp4

18:06

6. Selecting DataFrame API

1. Selecting DataFrame Theory and Practice.mp4

28:34

7. Renaming DataFrame API

1. Renaming DataFrame API.mp4

26:02

8. Basic Column Manipulation

1. Basic Column Manipulation 1.mp4

24:00

2. Basic Column Manipulation 2.mp4

05:07

9. Dropping API

1.1 drop function.pdf

1. Drop APIs.mp4

28:26

10. Filtering API

1. Filtering API.mp4

22:16

11. Sorting API

1. Sorting API.mp4

19:14

Description

Databricks Certified Associate Developer for Apache Spark 3 Course that will give you more understanding On Spark

What You'll Learn?

Understanding Apache Spark: Gain a solid understanding of big data processing and the advantages of Apache Spark over traditional data processing frameworks.
Spark Architecture: Learn about the architecture and components of Apache Spark, including Spark Core, Spark SQL
Spark's Resilient Distributed Datasets (RDDs), and understand transformations and actions in Spark.
Spark SQL and DataFrames: Explore Spark SQL and its features, work with DataFrames and datasets

Who is this for?

Aspiring Data Engineers: If you aim to build a career in big data processing and analytics, this course provides a solid foundation in Apache Spark, a widely used framework in the industry.

Data Scientists and Analysts: Data scientists and analysts who work with large datasets can benefit from learning Apache Spark to efficiently process and analyze data, perform machine learning tasks

Software Developers: Developers interested in distributed computing and building scalable data processing applications can expand their skill set with Apache Spark, enabling them to work on big data projects effectively.

Professionals Preparing for the Databricks Certified Associate Developer Exam: This course provides comprehensive coverage of the topics and concepts required for the Databricks Certified Associate Developer exam, making it an excellent resource for exam preparation.

What You Need to Know?

While no prior knowledge of Apache Spark is required, a basic understanding of programming concepts and familiarity with a programming language (such as Python or Scala) will be beneficial. Additionally, a fundamental understanding of data processing and analysis concepts will help in grasping the material more effectively.

More details

Description
Databricks Certified Associate Developer for Apache Spark 3: Master Apache Spark with Real-World Projects
Description: Learn Apache Spark 3 from scratch and prepare for the Databricks Certified Associate Developer exam with this comprehensive and hands-on Udemy course. Boost your career and become an Apache Spark expert today!
Introduction: Welcome to the ultimate Udemy course for mastering Apache Spark 3 and preparing for the Databricks Certified Associate Developer exam. If you're looking to enhance your skills in big data processing and analytics, this course is perfect for you. With hands-on projects, real-world examples, and expert guidance, you'll gain the knowledge and confidence to excel in the world of Apache Spark.
Key Features:
Comprehensive Course: Learn Apache Spark 3 from the ground up, covering all essential concepts and advanced topics required to become a certified associate developer.
Hands-On Projects: Apply your knowledge to real-world projects, working with large datasets and gaining practical experience in data processing, analysis, and machine learning with Spark.
Exam Preparation: Get fully prepared for the Databricks Certified Associate Developer exam with dedicated exam-focused sections, practice tests, and tips from certified professionals.
Expert Instructors: Learn from industry experts with extensive experience in Apache Spark and big data analytics, ensuring you receive the highest quality education.
Interactive Learning: Engage in interactive quizzes, coding exercises, and discussions to reinforce your understanding of Apache Spark concepts and techniques.
24/7 Access: Enjoy lifetime access to the course material, including updates and additional resources, allowing you to learn at your own pace and revisit concepts whenever needed.
Course Curriculum:

Introduction to Apache Spark 3
Understanding big data and its challenges
Overview of Apache Spark and its Advantages
Spark architecture and components
Spark Basics
Installing and setting up Spark on your local machine
Working with Spark's Resilient Distributed Datasets (RDDs)
Transformations and actions in Spark
Hands-on exercises and coding examples
Spark SQL and DataFrames
Introduction to Spark SQL and its features
Working with DataFrames and datasets
Data manipulation and querying using Spark SQL
Integration with external data sources (SQL databases, CSV, JSON, etc.)

Databricks Certified Associate Developer Exam Preparation
Exam Overview and Requirements
Key topics and concepts covered in the exam
Tips and strategies for exam success
Practice tests and mock exams
Why Choose This Course:
Comprehensive and up-to-date curriculum designed to cover all aspects of Apache Spark 3.
Hands-on projects ensure you gain practical experience and develop confidence in working with Spark.
Exam-focused sections and practice tests prepare you thoroughly for the Databricks Certified Associate Developer exam.
Lifetime access to course material allows you to revisit concepts and access future updates.
Learn from industry experts who bring real-world experience and insights to the course.
Who this course is for:
Aspiring Data Engineers: If you aim to build a career in big data processing and analytics, this course provides a solid foundation in Apache Spark, a widely used framework in the industry.
Data Scientists and Analysts: Data scientists and analysts who work with large datasets can benefit from learning Apache Spark to efficiently process and analyze data, perform machine learning tasks
Software Developers: Developers interested in distributed computing and building scalable data processing applications can expand their skill set with Apache Spark, enabling them to work on big data projects effectively.
Professionals Preparing for the Databricks Certified Associate Developer Exam: This course provides comprehensive coverage of the topics and concepts required for the Databricks Certified Associate Developer exam, making it an excellent resource for exam preparation.

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Data Science

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Aviral Bhardwaj

Instructor's Courses

Name: Aviral BhardwajJob Title: Senior DevOps EngineerLocation: Bangalore, IndiaBio:I am a Senior DevOps Engineer with over 3 years of experience in the Big Data domain. Currently, I work with a Product & Service Based Company in Bangalore, where I am responsible for ensuring that the cloud infrastructure is always up and running smoothly.In my career, I have worked with various clients in the Big Data field and have experience working with AWS technologies like S3, EC2, EMR, Glue, Athena, IAM Roles, and Policy, and with Databricks as a Databricks Admin. I have helped many MNC companies get their cloud infrastructure ready.I am excited to share my knowledge and experience with others, and I plan to create more courses on new technologies in the near future.Courses:Python for Data Engineering - Part 1Linux for Data Engineering - Part 2 (Coming soon)Spark and Databricks Fundamentals (Coming soon)Thank you for considering my courses, and I hope you find them helpful in advancing your skills in the Big Data field.

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