Apache Spark 3 - Spark Programming in Scala for Beginners from Udemy

This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

About the Course

I am creating Apache Spark 3 - Spark Programming in Scala for Beginners course to help you understand the Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session like approach. We will be taking a live coding approach and explain all the needed concepts along the way.

Who should take this Course?

I designed this course for software engineers willing to develop a Data Engineering pipeline and application using the Apache Spark. I am also creating this course for data architects and data engineers who are responsible for designing and building the organizationâ€™s data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Spark implementation. Still, they work with the people who implement Apache Spark at the ground level.

Spark Version used in the Course

This Course is using the Apache Spark 3.x. I have tested all the source code and examples used in this Course on Apache Spark 3.0.0 open-source distribution.

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Develops skills in Apache Spark programming and big data engineering, which are highly relevant to industry

Covers fundamental concepts of Apache Spark, making it accessible to beginners

Emphasizes practical applications through live coding and examples

Target audience includes software engineers, data architects, data engineers, and managers involved in big data engineering

Uses Apache Spark 3.x, the latest stable version

The course requires no prior knowledge of Apache Spark or Hadoop, making it beginner-friendly

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Apache Spark 3 - Spark Programming in Scala for Beginners with these activities:

Read Learning Spark

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Gain a deeper understanding of Apache Spark concepts and practical applications through this comprehensive book.

View Learning Spark: Lightning-Fast Big Data Analysis on Amazon

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Read chapters 1-3 of the book.
Complete the exercises and examples provided in the book.
Summarize the key takeaways from each chapter.

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Career center

Learners who complete Apache Spark 3 - Spark Programming in Scala for Beginners will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers are responsible for designing and building an organization’s data-centric infrastructure. This course can help Data Engineers build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Data Engineers. The course is also example-driven and uses a working session like approach, which can help Data Engineers learn how to apply their new skills to real-world problems.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use Apache Spark to process and analyze large datasets. This course can help Data Scientists build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Data Scientists. The course is also example-driven and uses a working session like approach, which can help Data Scientists learn how to apply their new skills to real-world problems.

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Software Engineer

Software Engineers who are willing to develop a Data Engineering pipeline and application using Apache Spark can benefit from this course. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Software Engineers. The course is also example-driven and uses a working session like approach, which can help Software Engineers learn how to apply their new skills to real-world problems.

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Data Architect

Data Architects are responsible for designing and building the organization’s data-centric infrastructure. This course can help Data Architects build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Data Architects. The course is also example-driven and uses a working session like approach, which can help Data Architects learn how to apply their new skills to real-world problems.

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Big Data Engineer

Big Data Engineers are responsible for designing and building the organization’s data-centric infrastructure. This course can help Big Data Engineers build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Big Data Engineers. The course is also example-driven and uses a working session like approach, which can help Big Data Engineers learn how to apply their new skills to real-world problems.

See salaries and explore the career path for Big Data Engineer

Data Analyst

Data Analysts use Apache Spark to process and analyze large datasets. This course can help Data Analysts build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Data Analysts. The course is also example-driven and uses a working session like approach, which can help Data Analysts learn how to apply their new skills to real-world problems.

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Machine Learning Engineer

Machine Learning Engineers use Apache Spark to train and deploy machine learning models. This course can help Machine Learning Engineers build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Machine Learning Engineers. The course is also example-driven and uses a working session like approach, which can help Machine Learning Engineers learn how to apply their new skills to real-world problems.

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Cloud Engineer

Cloud Engineers use Apache Spark to process and analyze large datasets in the cloud. This course can help Cloud Engineers build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Cloud Engineers. The course is also example-driven and uses a working session like approach, which can help Cloud Engineers learn how to apply their new skills to real-world problems.

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DevOps Engineer

DevOps Engineers use Apache Spark to automate the deployment and management of big data applications. This course can help DevOps Engineers build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for DevOps Engineers. The course is also example-driven and uses a working session like approach, which can help DevOps Engineers learn how to apply their new skills to real-world problems.

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Security Engineer

Security Engineers use Apache Spark to detect and prevent security threats. This course can help Security Engineers build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Security Engineers. The course is also example-driven and uses a working session like approach, which can help Security Engineers learn how to apply their new skills to real-world problems.

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Business Analyst

Business Analysts use Apache Spark to analyze data and make business decisions. This course can help Business Analysts build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Business Analysts. The course is also example-driven and uses a working session like approach, which can help Business Analysts learn how to apply their new skills to real-world problems.

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Product Manager

Product Managers use Apache Spark to analyze data and make product decisions. This course can help Product Managers build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Product Managers. The course is also example-driven and uses a working session like approach, which can help Product Managers learn how to apply their new skills to real-world problems.

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Data Visualization Developer

Data Visualization Developers use Apache Spark to create data visualizations. This course can help Data Visualization Developers build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Data Visualization Developers. The course is also example-driven and uses a working session like approach, which can help Data Visualization Developers learn how to apply their new skills to real-world problems.

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Database Administrator

Database Administrators use Apache Spark to manage large datasets. This course can help Database Administrators build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which are essential skills for Database Administrators. The course is also example-driven and uses a working session like approach, which can help Database Administrators learn how to apply their new skills to real-world problems.

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Systems Administrator

Systems Administrators use Apache Spark to manage large datasets. This course may help Systems Administrators build a foundation in Apache Spark. This course teaches the fundamentals of Spark Architecture and programming in Scala, which may be helpful skills for Systems Administrators. The course is also example-driven and uses a working session like approach, which may help Systems Administrators learn how to apply their new skills to real-world problems.

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