Kick-start your learning
- Meet Your Mentor
- Your Learning Process - Learn, Train, Practice and Apply
- Your Course Guide - Pathway to Success !
- Resource Bundle
Introduction to Apache Spark
- Start your Spark Engines
Setup your Spark / Scala Environment - Apache Spark eco-system
- RDD : The foundation of Spark
- Spark Architecture - How it all works
- Spark Project Work Flow - How it gets done
- Spark Architecture
Spark Programming with Scala
- Loading and Storing Data
Loading and Storing Data - @Practice() Transformations
- Transformations - Change how data looks
Transformations - @Practice() Transformations
- Actions - Extract Insights from Data
Actions - @Practice() Actions
- Key-Value RDDs
Key-value RDDs - @Practice() : Key-Value RDDs
- Advanced Spark
Advanced Spark - Enhanced Capabilities - @Practice() Advanced Spark
- Connecting to Spark on a different Cluster
Spark SQL
- Spark SQL Data Frames - the new Era
SQL Data Frames - @Practice SQL Data Frames
- Temp Tables / Views - Easy Querying
Temp Tables / Views - @Practice() Temp Tables / Views
Spark Streaming
- Spark Streaming - Real time Data Processing
- Spark Streaming Architecture - How it works
Spark Streaming
Machine Learning with Spark
- Types of Analytics - Simple to Predictive
- Types of Machine Learning
- Analyzing Results and Errors
- Spark ML Concepts - new Data Types
- Linear Regression - Fit to a line
Linear Regression Use Case - Decision Trees Classifications
Decision Trees Use Case - Principal Component Analysis
- Random Forests Classification
Random Forests and PCA Use Case - Text Pre-processing with TF-IDF
- Naive Bayes Classification
Naive Bayes and Text Pre-Processing Use Case - K-Means Clustering
K-Means Clustering Use Case - Recommendation Engines
Recommendation Engines Use Case
APPLY - Your Course Challenge Project
- Real world Problem Statement - Credit Card Defaulters
- Hints to help you with the project
- Final Solution Review - We did it !
Conclusion
- Closing Remarks
- BONUS Lecture : Other courses you should check out
