About the course
Perform real-life data operations with Apache Spark Video Course.
Ready to use statistical and machine-learning techniques across large data sets? This course shows you how the Apache Spark and the Hadoop MapReduce ecosystem is perfect for the job.
This course contains various projects that consist of real-world examples. The first project is to find top selling products for an e-commerce business by efficiently joining data sets in the Map/Reduce paradigm. Next, a Market Basket Analysis will help you identify items likely to be purchased together and find correlations between items in a set of transactions.
Moving on, you'll learn about probabilistic logistic regression by finding an author for a post. Next, you'll build a content-based recommendation system for movies to predict whether an action will happen, which we’ll do by building a trained model. Finally, we’ll use the Map/Reduce Spark program to calculate mutual friends on social network.
By the end of this course, you’ll have been exposed to a wide variety of mathematical techniques that can be utilized as training models with the Spark and Hadoop software, and know how to solve common problems.
Style and Approach
This will help you perform data analysis, introducing to each subject by example and practice that makes the audience more productive after each video.
What You Will Learn
- Learn See how to process big data effectively
- Examine a number of real-world use cases and hands-on code examples.
- Build Hadoop and Apache Spark jobs that process data quickly and effectively.
- Write programs for complex data analysis and solving to solve real real-world problems
- Explore the Map/Reduce Hadoop and Spark approach for solvinto solveg data analysis problems.
Tomasz Lelek is a Software Engineer who programs mostly in Java and Scala. He is a fan of microservice architectures and functional programming. He dedicates considerable time and effort to be better every day. Recently, he's been delving into big data technologies such as Apache Spark and Hadoop. He is passionate about nearly everything associated with software development.
Tomasz thinks that we should always try to consider different solutions and approaches to solving a problem. Recently, he was a speaker at several conferences in Poland - Confitura and JDD (Java Developer's Day) and also at Krakow Scala User Group.
You can find the JDD video here: https://www.youtube.com/watch?v=BnORjQbnZNQ&t - ML Spark talk.
He also conducted a live coding session at Geecon Conference. He is currently working on this website using ML: http://www.allegro.pl
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