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

• Big Data Fundamentals RESULTS✔️

  • Big Data 101 RESULTS ✔️
  • Hadoop 101 RESULTS ✔️
  • Spark Fundamentals I RESULTS ✔️

• Big Data Fundamentos 2.0 from Data Science Academy RESULTS ✔️

• Hadoop Fundamentals RESULTS ✔️

  • Hadoop 101 RESULTS ✔️
  • MapReduce and YARN RESULTS ✔️
  • Moving Data into Hadoop RESULTS ✔️
  • Accessing Hadoop Data Using Hive RESULTS ✔️

• Hadoop Programming RESULTS ✔️

  • MapReduce and YARN RESULTS ✔️
  • Apache Pig 101 RESULTS ✔️
  • Simplifying Data Pipelines with Apache Kafka RESULTS ✔️

• Hadoop Administration RESULTS ✔️

  • Moving Data into Hadoop RESULTS ✔️
  • Controlling Hadoop Jobs Using Oozie RESULTS ✔️
  • Developing Distributed Applications Using ZooKeeper RESULTS ✔️
  • Solr 101 RESULTS ✔️

• Hadoop Data Access RESULTS ✔️

  • Accessing Hadoop Data Using Hive RESULTS ✔️
  • Using HBase for Real-time Access to your Big Data RESULTS ✔️
  • SQL Access for Hadoop RESULTS ✔️

• Intro to Hadoop and MapReduce

• Scala Programming for Data Science

  • Scala 101 RESULTS ✔️
  • Spark Overview for Scala Analytics RESULTS ✔️
  • Data Science for Scala RESULTS ✔️

• Edx https://www.edx.org/course/analytics-storytelling-impact-1

• Spark Workshop PDF