Big Data Systems

9 lectures

Lecture notes and study resources for this subject.

01Lecture 01 · Hadoop, In-Memory Computing, Cloud, and Fault Tolerance

02Lecture 02 · Consistency, BASE, MongoDB, and the Big Data Analytics Life Cycle

03Lecture 03 · Parallelism Models, MapReduce, and Iterative Computation

04Lecture 04 · NoSQL Databases

05Lecture 05 · Cloud Computing and Cloud-Hosted Big Data Platforms

06Lecture 06 · Storage on the Cloud: S3, EFS, EBS, and the Dynamo Legacy

07Lecture 07 · Apache Spark: Fast, General-Purpose Cluster Computing

08Lecture 08 · Spark MLlib: Regression, Classification, Clustering, and Collaborative Filtering

09Lecture 09 · Streaming Data Architecture and Spark Streaming

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