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Big Data Primer
Introduction and Basics
Course Coverage (3:26)
Big Data Overview (8:28)
Industry Use Cases and Applications (21:46)
Key Decision Areas in Design (6:55)
Hadoop
Overview of Apache Hadoop (3:40)
The story behind Hadoop (3:12)
Hadoop architecture and related technologies
Map-Reduce
Understanding the various Hadoop distributions
Industry use cases and applications of Hadoop
Hive & Pig
Basics of Hive and HiveQL
Introduction to Pig
Uses of Hive and Pig
Apache Spark
Introduction to Apache Spark
Spark architecture and capabilities
Introduction to Real-time analytics with Spark Streaming
Introduction to Spark Machine Learning
When and where to use Spark
Apache Storm
Introduction to Apache Storm
Sprouts, Bolts and architecture overview
Where and where to use Storm
Apache Kafka
Introduction to Apache Kafka
Kafka Producers and Consumers
When and where to use Kafka
Apache Cassandra
Introduction to Apache Cassandra
Cassandra architecture and data distribution
Columnar storage and data model
When and where to use Cassandra
Mongo DB
Introduction to Mongo DB
Mongo DB deployment architecture
Document storage and data model
When and where to use Mongo DB
Apache HBase
Introduction to Apache HBase
Deployment and architecture
Key-value storage and data model
When and where to use HBase
R Programming
Introduction to R
RStudio overview
Fundamentals of R Language
Analytics and visualisation with R
When and where to use R
Language Introductions
Introduction to and basics of Java
Introduction to and basics of Scala
Introduction to and basics of Python
Choosing the appropriate language for your requirements
Related Technologies
Security modules for Hadoop
Introduction to Apache Nifi
Introduction to Apache Nutch
Working with Jupyter Notebook
Spark architecture and capabilities
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