This repository contains my personal guide on Spark and topics related to Big Data. The contents originate from projects, tutorials and courses, such as:
- Udacity: Intro to Hadoop and MapReduce
- Udacity: Deploying a Hadoop Cluster
- Udacity: Spark
- Datacamp: Big Data with PySpark Track
The repository is structured in folders/modules, which contain a Markdown file with the associated topic guide and the related code/exercises:
00_Intro_Big_Data: general introduction material, without code.01_Intro_Hadoop: introduction material on Hadoop; small code examples are shown, but not implemented.02_Spark: full Spark course with exercises.
To use this guide, open the desired topic folder and read the main Markdown in there; if you're new to the topic, follow a sequential order. To run the exercises and examples, you'll need to set up an environment either locally or remotely; all instructions for that should be provided in each folder/module.
Mikel Sagardia, 2023.
No guarantees.