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Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e
The main features of apache/hadoop-mapreduce are: Data Analysis Visualization.
Projects with overlapping indexed features include: avelino/mining. cloudera/impala — Real-time Query for Hadoop; mirror of Apache Impala. continuumio/bokeh. dcjones/gadfly.jl. iainnz/graphlayout.jl — Graph layout algorithms in pure Julia. apache/spark — Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation…
