Skip to main content
Learner View
Instructor View
Menu
Big Data Engineering
Big Data Engineering
Key Points
Glossary
Learner Profiles
More
Reference
Big Data Engineering
Learner View
Instructor View
EPISODES
Summary and Setup
1. Syllabus
2. Introduction
3. MapReduce Programming Paradigm
4. Spark Computing Environment
5. Data Parallel Computing with Spark
6. Page Rank
7. Locality Sensitive Hashing
8. Frequent Itemsets
9. Clustering
10. Recommendation Systems
11. Distributed Machine Learning with Spark
RESOURCES
Key Points
Glossary
Learner Profiles
Reference
See all in one page
Syllabus
Introduction
MapReduce Programming Paradigm
Spark Computing EnvironmentSpark computing environment
Data Parallel Computing with SparkData parallel computing with Spark
Page RankPage Rank
Locality Sensitive HashingLocality Sensitive Hashing
Frequent ItemsetsFrequent Itemsets
ClusteringClustering
Recommendation SystemsRecommendation Systems
Distributed Machine Learning with SparkDistributed machine learning with Spark
Back
To Top
