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Apache Spark for Data Scientists
Lessons
Graph computation
Lesson List
Browse Q&A
1. Spark
Data Science: The State of the Art
Hadoop, Yarn, and Spark
Architectural Overview
Spark and Storm
MLib and Mahout
Distributed vs. Local Run Modes
Hello, Spark
2. Spark Overview
Spark Core
Spark SQL
Spark and Hive
MLib
Mahout
Spark Streaming
Spark API
3. DataFrames
DataFrames and Resilient Distributed Datasets (RDDs)
Partitions
DataFrame Types
DataFrame Operations
Map/Reduce with DataFrames
4. Spark SQL
Spark SQL Overview
Data stores: HDFS, Cassandra, HBase, Hive, and S3
Table Definitions
ETL in Spark
Queries
5. Spark MLib
MLib overview
MLib Algorithms Overview
6. Spark Streaming
Streaming overview
Real-time data ingestion
State
Window Operations
7. Spark GraphX
GraphX overview
ETL with GraphX
Graph computation
8. Performance and Tuning
Broadcast variables
Accumulators
Memory Management
9. Cluster Mode
Standalone Cluster
Masters and Workers
Configurations
Working with large data sets
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Graph computation
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