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):
- ๐ = Doing
- โ๏ธ = Completed
- ๐ = creative
= beginner
- ๐ = 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 RESULTSโ๏ธ
- Big Data 101 RESULTS โ๏ธ
- Hadoop 101 RESULTS โ๏ธ
- Spark Fundamentals I RESULTS โ๏ธ
-
Big Data Fundamentos 2.0 from Data Science Academy RESULTS โ๏ธ
-
Hadoop Fundamentals RESULTS โ๏ธ
- Hadoop 101 RESULTS โ๏ธ
- MapReduce and YARN RESULTS โ๏ธ
- Moving Data into Hadoop RESULTS โ๏ธ
- Accessing Hadoop Data Using Hive RESULTS โ๏ธ
-
Hadoop Programming RESULTS โ๏ธ
- MapReduce and YARN RESULTS โ๏ธ
- Apache Pig 101 RESULTS โ๏ธ
- Simplifying Data Pipelines with Apache Kafka RESULTS โ๏ธ
-
Hadoop Administration RESULTS โ๏ธ
-
Hadoop Data Access RESULTS โ๏ธ
-
- Scala 101 RESULTS โ๏ธ
- Spark Overview for Scala Analytics RESULTS โ๏ธ
- Data Science for Scala RESULTS โ๏ธ