Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 23 Minute(s)
Language
English
Taught by
Aviral Bhardwaj
Rating
Course Overview
Databricks Certified Associate Developer for Apache Spark 3 Course that will give you more understanding On Spark
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.
Course Content
- 10 section(s)
- 25 lecture(s)
- Section 1 Introduction
- Section 2 S3 Data and Spark PDF is Here
- Section 3 Databricks Workspace Creation
- Section 4 Databricks Architecture
- Section 5 Basics Concepts
- Section 6 Apache Spark API Creating Dataframes
- Section 7 Selecting DataFrame API
- Section 8 Renaming DataFrame API
- Section 9 Basic Column Manipulation
- Section 10 Dropping API
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
Skills covered in this course
Reviews
-
SShreyas Garapati Soma Sri
the English is pathetic and the vide0s are half present the course ended abruptly overall a waste of time and money.
-
GGirish Kumar
way of explaining things is not good and some terms are wrong while explaining and he's not sure what he is doing
-
HHongfa Wu
Not very clear. Difficult to follow.
-
PPaolo Camossi
I concetti vengono spiegati a caldo senza una preparazione precedente alla registrazione del video, a volte in maniera confusionaria, a volte con perdita di tempo inutili. Il corso poteva essere presentato in metà del tempo.
