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Data Algorithms with Spark PDF 下蝲
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Data Algorithms with Spark
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Spark Architecture
When you have small data, it is possible to analyze it with a single
 

computer in a reasonable amount of time. When you have large volumes ofdata,using a single computer to analyze and process that data (and store it)might be prohibitively slow, or even impossible. This is why we want to useSpark.
 

Spark has a core library and a set of built-in libraries (SQL, GraphXQStream ing, MLlib), as shown in Figure 1-3.As you can see, through itsDataSource API,Spark can interact with many data sources, such as
Hadoop,HBase,Amazon S3, Elasticsearch, and MySQL, to mention a few.


 

 
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