2

I am new to hadoop and AWS. I have setup multi-node (4 instances t2.large) AWS EC2 cluster with cloudera Hadoop distribution. I have tested the environment with basic examples using CSV files such as word count.

Now, my main project is to analyze data in JSON files. I have around 4 million JSON files approximately 60GB data. Each file has a big JSON entry, basically all information about one record in each file.

I am bit confused on how to approach this. May be copy the files to HDFS and build Map Reduce jobs(using java, as i am comfortable in that) to create large CSV files and then create tables from these CSV in Hive for analysis. Because converting these files to CSV locally may take a lot time. Even copying these files to AWS will be slow, but once copied i can use the computing power of instance. Not sure if this is correct? How can i start with this?

Is there a way where i can process JSON directly or any other approach that will make the process efficient? I have around 1 month to process this data into a form which can be queried and then build further from there.

Any help would be really beneficial.

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.