Spark and Machine Learning workshops day on March 12, at TechHub:
1. 9:00 – 12:30 – Getting started with Spark: intro and hands on session (20 places)
2. 13:00 – 16:30 ML & Spark: MLlib intro and exercises (15 places)
Registration should be made separately for each workshop.
1. Getting started with Spark: intro and hands on session, in the limit of 20 places
Spark is the new trend in big data technologies, offering us an easy API and multiple environments to work with, like Batch, SQL, Graph, Machine Learning and Streaming processing.
The workshop will start with an introduction in Spark and will continue with many Spark examples, including the well known Wordcount example.
You have the option to choose the programming language you are most familiar with, so the examples will be written and explained in Java, Scala and Python (to be confirmed the Java one).
We will try all Spark examples in local mode, so all you need is your own laptop. The major benefit of this is that you can continue learning and try new examples even after the workshop.
Trainer :Tudor Lapusan
2. ML & Spark: MLlib intro and exercises, in the limit of 15 places
Description: Theoretical understanding of various ML algorithms: RandomForest, Clustering.
What you will learn: How to solve ML problems using Spark and MLLib (ml library on top of spark).