Spark 3.0 & Big Data Essentials with Scala

UPDATED FOR SPARK 3.0

In this course, we will learn how to write big data applications with Apache Spark 3 and Scala. You'll write 2000+ lines of Spark code yourself, with guidance, and you will become a rockstar.

This course is for Scala programmers who are getting started with Apache Spark and big data. The course is not for advanced Spark engineers.

Why Spark in Scala:

it's blazing fast for big data
its demand has exploded
it's a highly marketable skill
it's well maintained, with dozens of high-quality extensions
it's a foundation for a data scientist

I like to get to the point and get things done. This course

deconstructs all concepts into the critical pieces you need
selects the most important ideas and separates them into what's simple but critical and what's powerful
sequences ideas in a way that "clicks" and makes sense throughout the process of learning
applies everything in live code

The end benefits are still much greater:

a completely new mental model around data processing
significantly more marketable resume
more enjoyable work - Spark is fun.

This course is for established programmers with experience with Scala and with functional programming at the level of the Rock the JVM Scala beginners course. I already assume a solid understanding of general programming fundamentals.

This course is NOT for you if

you've never written Scala code before
you don't have some essential parallel programming background (e.g. what's a process/a thread)

The course is comprehensive, but you'll always see me get straight to the point. So make sure you have a good level of focus and commitment to become a badass programmer.

I believe both theory and practice are important. That's why you'll get lectures with code examples, real life code demos and assignments, plus additional resources, instructions, exercises and solutions. At the end of the course, you'll have written thousands of lines of Spark.

I've seen that my students are most successful - and my best students work at Google-class companies - when they're guided, but not being told what to do. I have exercises waiting for you, where I offer my (opinionated) guidance but otherwise freedom to experiment and improve upon your code.

Definitely not least, my students are most successful when they have fun along the way.

So join me in this course and let's rock the JVM.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops a new mental model around data processing

Taught by Daniel Ciocîrlan who are recognized for their work in Apache

Teaches skills that are highly relevant to industry

Teaches skills that are a foundation for data scientists

Examines Apache Spark for big data

Requires learners to have some knowledge of parallel programming

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 Spark 3.0 & Big Data Essentials with Scala | Rock the JVM with these activities:

Review Intro to Scala

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Ensure a solid foundation in Scala before diving into Spark, refreshing memory on fundamental Scala concepts and syntax.

Browse courses on Scala

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Review materials from a previous Scala course or online tutorial.
Go through Scala documentation and tutorials.
Complete practice exercises to reinforce understanding.

Connect with Spark Experts

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Seek guidance from experienced professionals to enhance learning, gain industry insights, and explore career opportunities in Spark.

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Attend industry events or meetups related to Spark.
Reach out to professionals on LinkedIn or other networking platforms.
Request informational interviews to learn from their experiences.

Coding Challenges for Spark Novices

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Practice writing Spark code to solidify understanding of key Spark concepts and deepen coding skills, laying the groundwork for the course content.

Browse courses on Scala

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Enroll in a coding challenge platform that offers Scala or Spark-specific challenges.
Start solving beginner-level challenges to gain hands-on experience with Scala and Spark.
Review solutions and explanations to understand best practices and improve coding.

Three other activities

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Follow Spark Tutorials

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Supplement the course material with practical, hands-on tutorials to enhance understanding and apply Spark concepts in real-world scenarios.

Browse courses on Spark Programming

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Identify reputable online platforms offering Spark tutorials.
Select tutorials that align with the course syllabus.
Follow the tutorials step-by-step, implementing Spark code.
Review and troubleshoot any errors encountered.

Scala/Spark Study Group

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Collaborate with peers to reinforce concepts, discuss challenges, and share insights, fostering a supportive and interactive learning environment.

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Form or join a study group with fellow Scala and Spark learners.
Meet regularly to discuss course material, work on projects, and troubleshoot issues.
Take turns presenting and facilitating discussions.

Spark: The Definitive Guide

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Gain a comprehensive understanding of Apache Spark's architecture, core APIs, and advanced techniques, reinforcing concepts covered in the course.

View Spark: The Definitive Guide: Big Data... on Amazon

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Read selected chapters relevant to the course content.
Take notes and highlight key concepts.
Complete exercises and examples provided in the book.

Career center

Learners who complete Spark 3.0 & Big Data Essentials with Scala | Rock the JVM will develop knowledge and skills that may be useful to these careers:

Big Data Engineer

Big Data Engineers use their knowledge of big data technologies to design, develop, and maintain big data systems. They work closely with other IT professionals to ensure that big data systems meet the needs of users. This course may be useful for Big Data Engineers who want to learn how to use Apache Spark and Scala to develop big data applications.

See salaries and explore the career path for Big Data Engineer

Quantitative Analyst

Quantitative Analysts use their knowledge of mathematics and statistics to develop models that can predict financial outcomes. They use this information to help businesses make better investment decisions. This course may be useful for Quantitative Analysts who want to learn how to use Apache Spark and Scala to develop big data models for financial analysis.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use their knowledge of mathematics and statistics to develop models that can predict financial outcomes. They use this information to help businesses make sound financial decisions. This course may be useful for Actuaries who want to learn how to use Apache Spark and Scala to develop big data models for actuarial analysis.

See salaries and explore the career path for Actuary

DevOps Engineer

DevOps Engineers use their knowledge of DevOps principles and practices to improve the collaboration between development and operations teams. They work closely with other IT professionals to ensure that software applications are delivered quickly and efficiently. This course may be useful for DevOps Engineers who want to learn how to use Apache Spark and Scala to develop and deploy big data applications.

See salaries and explore the career path for DevOps Engineer

Software Architect

Software Architects use their knowledge of software architecture principles and practices to design and develop software systems. They work closely with other IT professionals to ensure that software systems meet the needs of users. This course may be useful for Software Architects who want to learn how to use Apache Spark and Scala to develop big data systems.

See salaries and explore the career path for Software Architect

Business Analyst

Business Analysts use their knowledge of business processes and systems to develop solutions to business problems. They work closely with other business professionals to ensure that solutions meet the needs of the business. This course may be useful for Business Analysts who want to learn how to use Apache Spark and Scala to develop big data solutions for business problems.

See salaries and explore the career path for Business Analyst

Data Architect

Data Architects use their knowledge of data architecture principles to design and develop data systems. They work closely with other IT professionals to ensure that data systems meet the needs of users. This course may be useful for Data Architects who want to learn how to use Apache Spark and Scala to develop big data systems.

See salaries and explore the career path for Data Architect

Financial Analyst

Financial Analysts use their knowledge of financial markets and instruments to develop investment strategies. They use this information to help businesses make better investment decisions. This course may be useful for Financial Analysts who want to learn how to use Apache Spark and Scala to develop big data models for financial analysis.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use their knowledge of risk management principles and practices to identify and assess risks. They use this information to help businesses develop strategies to mitigate risks. This course may be useful for Risk Analysts who want to learn how to use Apache Spark and Scala to develop big data models for risk analysis.

See salaries and explore the career path for Risk Analyst

Product Manager

Product Managers use their knowledge of product development and marketing to develop and launch new products. They work closely with other product professionals to ensure that products meet the needs of users. This course may be useful for Product Managers who want to learn how to use Apache Spark and Scala to develop big data products.

See salaries and explore the career path for Product Manager

Cloud Architect

Cloud Architects use their knowledge of cloud computing technologies to design and develop cloud-based applications. They work closely with other IT professionals to ensure that cloud-based applications meet the needs of users. This course may be useful for Cloud Architects who want to learn how to use Apache Spark and Scala to develop big data applications in the cloud.

See salaries and explore the career path for Cloud Architect

Machine Learning Engineer

Machine Learning Engineers use their knowledge of machine learning techniques to develop models that can learn from data. They use this information to help businesses automate tasks and improve their operations. This course may be useful for Machine Learning Engineers who want to learn how to use Apache Spark and Scala to develop big data machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use their knowledge of data science techniques to develop models that can predict future outcomes. They use this information to help businesses make better decisions. This course may be useful for Data Scientists who want to learn how to use Apache Spark and Scala to develop big data models.

See salaries and explore the career path for Data Scientist

Software Developer

Software Developers use their knowledge of programming languages to design, develop, and test software applications. They work closely with other IT professionals to ensure that software applications meet the needs of users. This course may be useful for Software Developers who want to learn how to use Apache Spark and Scala to develop big data applications.

See salaries and explore the career path for Software Developer

Data Analyst

Data Analysts use their knowledge of data analysis techniques to identify trends and patterns in data. They use this information to make recommendations to businesses about how to improve their operations. This course may be useful for Data Analysts who want to learn how to use Apache Spark and Scala to analyze big data.

See salaries and explore the career path for Data Analyst

Spark 3.0 & Big Data Essentials with Scala | Rock the JVM

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