Bundle

The Apache Spark Bundle with Scala

Everything you need to become an expert Apache Spark developer. Master Spark with Scala and big data through clear lessons, practical exercises, and a smooth learning curve. Ideal for those with some programming experience, this bundle will take you from zero to hero.

Courses included: 4 courses included
Total duration: 38h of 4K content
Total lessons: 113 lessons

By Daniel Ciocîrlan

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Skills You'll Learn

Work with Apache Spark in projects of any size and complexity
Process data of any size and deploy on clusters of any scale
Optimize Spark jobs for ultimate performance
Lead other data engineers on Spark best practices
Perform DataFrame transformations, aggregations, joins, and groupings
Handle nulls, complex types, Datasets, and Spark SQL
Understand Spark jobs, query plans, and DAGs
Process streaming data with Structured Streaming and DStreams
Integrate Spark with Kafka, JDBC, and NoSQL data sources
Write broadcast joins and optimize shuffles
Use bucketing, partitioning, and data pruning
Fix data skews, straggling tasks, and memory issues
Configure cluster resources for optimal performance
Apply Adaptive Query Execution (AQE)
Use co-grouping and iterator-to-iterator RDD optimizations

Goal

Crunch that data.

You probably know already: Spark is one of the most powerful big data crunching tools, one of the most extensible and well maintained, one of the most loved, and used by thousands of developers, teams, companies and organizations. It’s 100x faster than the previous Map-Reduce paradigm, and it just works.

Spark has seen huge demand in recent years, has some of the best-paid engineering positions, and is just plain fun. This series is for Scala programmers who need to crunch big data with Spark, and need a clear path to mastering it.

This bundle contains:

100+ live runnable examples
100+ exercises with solutions
3 real-life projects crunching either one the largest public datasets available, or live data in real time
4000+ lines of code written from scratch, more than most engineers write in months
(I have exactly 4109 lines on camera, which I’ll share with you 100%)
Access to a growing private community on Slack
~25 hours of HD content (soon downloadable)
(Soon) takeaway slides
All updates and additional material for free, for life

”Show me the path.”

If you came here thinking, “I want to learn Spark, just show me a step-by-step way to do it, and I’ll follow”, this is it. There’s little else for me to say. More than 2000 people have taken this journey and they speak:

This is the connecting dots video series for get over all concepts of Spark process which is extremely useful for the peoples just started learning spark. Thank you Daniel (Anoop C., March 11, 2020)

There are hundreds of reviews like that, and that’s on Udemy. The version you’re looking at is even better and with exclusive new material. You will crunch BILLIONS of records on an Amazon cluster, do sentiment analysis on live Twitter data, integrate Apache Kafka, PostgreSQL, Cassandra, Akka Streams, and whatever your heart desires.

This path is literally what you need to follow to be good at Spark.

What Our Students Say

Trusted by 100,000+ students worldwide

My team is expanding the use of Akka in our products so I needed a quick introduction on this topic. I have tried a couple of courses but the introduction to Akka was always too abrupt, too hard to comprehend. I blamed Akka for this as being too hard to explain. This was until I was exposed to the Rock The JVM courses which were an absolute delight when it comes to presenting such complex topics in such an easy to understand way. And Daniel has not stopped at Akka but has added to his portfolio amazing courses on Scala and Spark too. It seems like he is quite enjoying taking such challenges like complex technologies and making them so simple for everyone. I have instantly recommended Daniel’s work to my team, which helped them immensely with taking their skills to a new level, and I do recommend these courses to anyone who wants to have the fastest ramp-up in these tough but popular technologies.

Mihai Fecioru
Adobe · California
From Scala, to Akka, to Spark, Daniel delivers exceptional material in each and every one of these technologies. I’ve been using them for a long time and there is always something new I will discover from him. The level of detail he gets into as well as the way he delivers material is mindblowing. I personally find his latest course Spark Optimization pure gold and one of a kind. I’ve been using Spark for a year now and I haven’t even thought how much you can leverage query plans to make such optimizations. I can’t stop thinking every time, how he manages to go so deep - because using a technology is one thing, but knowing its internals so well and how everything works behind the scenes is another story when it comes to distributed systems. Long story short Daniel is definitely the best instructor I’ve come across and each one of his courses is the best resource you can find online. Kudos for all your work and knowledge sharing.

Giannis Polyzos
Ververica · Greece
Daniel’s courses on Scala and Big Data are the best in class. I’ve been in touch with Daniel’s teaching and courses since early 2018. The first course that I took from him was Scala & Functional Programming; I was skeptical about it because over the internet there are many courses you can find, but few really worthy. I remember the very first day when Daniel started to speak and shared his examples - I started to love Scala, and then more as we went on. I am with Scala for the last 5 years now, but never ever has anyone explained to me or gave me comparable resources to Rock the JVM. Daniel gave me a shift in life and helped me crack top tech company interviews. His courses on big data are a must for any aspiring big data developer or data enthusiast. I highly recommend Daniel as an educator both online and on campus.

Anirban Goswami
Apple · California

Included Courses

Apache Spark Essentials with Scala

Become an Apache Spark developer by mastering the essentials of Apache Spark with Scala and big data with our comprehensive, hands-on course
Apache Spark Streaming with Scala

Master Apache Spark Streaming with Scala: process massive data as it arrives, integrate with Kafka, JDBC, Cassandra, and more – handle live data streams effortlessly
Apache Spark Optimization with Scala

Write performant code: master Apache Spark with Scala's tools and techniques to make your applications run blazing fast and learn the strategies used by top developers
Apache Spark Performance Tuning with Scala

Optimize Apache Spark with Scala for peak performance: master Spark internals and configurations to achieve maximum speed and memory efficiency for your cluster

Meet Rock the JVM

Daniel Ciocîrlan

Founder, Rock the JVM

I'm a software engineer and the founder of Rock the JVM.

I started Rock the JVM out of love for Scala and the technologies it powers. They are amazing tools, and I want to share as much of my experience with them as I can.

I've taught Java, Scala, Kotlin and related technologies such as Cats, ZIO and Spark to 100,000+ students at various levels. I've held live training sessions for companies including Adobe and Apple, taught university students who now work at Google and Facebook, run Hour of Code for 7-year-olds, and taught more than 50,000+ kids to code.

I have a Master's Degree in Computer Science and I wrote my Bachelor and Master thesis on Quantum Computation. Before learning programming, I won medals at international Physics competitions.

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