Since resources across the internet vary in terms of their pre-requisites and general accessibility, it is useful to give attributes to them so that it is easy to understand where a resource fits into the wider machine learning scope. Below is a few suggested attributes (please extend):
- 📘 = Doing
- ✔️ = Completed
- 🌈 = creative
= beginner- 😅 = intermediate, some pre-requisites
= advanced, many pre-requisites
Hadoop, Hive, HBase, ZooKeeper, Oozie, Sorl, Kafka, Pig, MapReduce, YARN, Spark, Scala and Python.
- Watch videos at 2x or 3x speed using a browser extension
- Handwrite notes as you watch for memory retention
- Immerse yourself in the community
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Big Data Fundamentos 2.0 from Data Science Academy RESULTS ✔️