What Is Apache Spark, How It Is Best Than Hadoop Mapreduce And Compare Apache Spark And Hadoop Mapreduce

DOES SPARK REPLACE HADOOP? A NEW TURNING POINT IN BIG DATA – IN-DEPTH ANALYSIS.


WHAT IS APACHE SPARK?

Apache Spark is an open source cluster computing system comes with more features when compare with Hadoop. Apache Spark Analysis Data fast i.e., it reads the data fast and writes the data fast.

Spark executes programs faster using in-memory data-processing platform and offers a general execution model that can optimize arbitrary operator graphs and is compatible with all Hadoop Resources but Apache Spark runs faster than Hadoop MapReduce. Apache spark is well suited for Interactive data queries and machine learning jobs.

Apache Spark is very easy for developers because it includes API in Scala, Python and Java. Apache Spark is already used in many large webs companies and web startups already. A startup named Databricks, commercialize Spark by getting $14 million in venture capital.

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Oct 29, 2013