This is a Note for Coursera course: Big Data Essentials - HDFS, MapReduce and Spark RDD.
latest update: 2021.01.11
| Week | Status | Content |
|---|---|---|
| Week1 | ✔️ Completed | - Unix Command Line Interface (CLI) - Distributed File Systems (DFS), HDFS (Hadoop DFS) Architecture and Scalability Problems - Tuning Distributed Storage Platform with File Types |
| Week2 | ✔️ Completed | - Hadoop MapReduce: How to Build Reliable System from Unreliable Components - Hadoop MapReduce Streaming Applications in Python - Hadoop MapReduce Application Tuning: Job Configuration, Comparator, Combiner, Partitioner |
| Week3 | 📌 NotStarted | - Hadoop MapReduce Application Tuning: Job Configuration, Comparator, Combiner, Partitioner |
| Week4 | 📌 NotStarted | - Core concepts and abstractions - Advanced topics - Working with Spark in Python |
| Week5 | 📌 NotStarted | - Working with Spark in Python |
| Week6 | 📌 NotStarted | - Working with samples - Telecommunications Analytics - Working with social graphs |