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Big Data Engineering
Big Data Engineering
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Big Data Engineering
Instructor View
Learner View
EPISODES
Summary and Schedule
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
Instructor Notes
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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
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