Scala and Spark for Big Data and Machine Learning
What you will learn
Use Scala for Programming
Use Spark 2.0 DataFrames to read and manipulate data
Use Spark to Process Large Datasets
Understand hot to use Spark on AWS and DataBricks
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Our Verdict
As a learner pursuing big data technologies and machine learning expertise, you can rely on Scala and Spark for Big Data and Machine Learning to deliver a strong foundation in both languages and their integration. Given that 32550 subscribers have tried the course, it demonstrates its popularity amongst professionals seeking hands-on knowledge. Despite some minor inconveniences and an outdated feel, students will still appreciate learning from clear explanations, easy setup procedures, and well-organized lectures. However, a more in-depth exploration of Spark architecture could make the course even better. Although some users may have criticisms about specific sections or the teaching style, overall it is a well-structured resource for gaining valuable knowledge on Scala and Spark integration.
What We Liked
- Covers both Scala and Spark, providing a strong foundation for using them together in big data and machine learning applications
- Well-organized course structure with gradual build-up of examples helps to understand complex concepts
- Clear explanations and scala programming examples reinforce the learning process
- Easy setup and detailed lectures aid beginners with basic programming skills to follow along easily
Potential Drawbacks
- The course may appear outdated, and providing updated documentation from the start would improve user experience
- AWS section seems more like an advertisement for Amazon services and could be expanded with hands-on exercises for better understanding
- Lacks in-depth exploration of Spark architecture and minor inconveniences are present in provided code samples
- Could benefit from improved didactics, as some students have reported issues with the teaching style and content depth