As we all know that Spark is an opensoruce and R is also an opensource.But the main problem or issue that Spark does not provide any visualization feature.To get that feature we can integrate Spark and R to get a comprehensive .solution. As a comprehensive spark solution,SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. In Spark 2.0.2, SparkR provides a distributed data frame implementation that supports operations like selection, filtering, aggregation etc. (similar to R data frames) but on large datasets. SparkR also supports distributed machine learning using MLlib.You will learn how to create spark cluster in Databricks.You will learn how to create dataframes and grouping data and aggregating data.
Hadoop is an Apache open source framework written in java that allows distributed processing of large datasets across clusters of computers using simple programming models. A Hadoop frame-worked application works in an environment that provides distributed storage and computation across clusters of computers. Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage
You should have basic knowledge of Spark and R
I am Reddy having 10 years of IT experience.For the last 4 years I have been working on Bigdata.
From Bigdata perspective,I had working experience on Kafka,Spark,and Hbase,cassandra,hive technologies.
And also I had working experience with AWS and Java technologies.
I have the experience in desigining and implemeting lambda architecture solutions in bigdata
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