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What is the difference between parallel and distributed computing if we consider a Hadoop framework?

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Distributed computing is a model in which system models are shared among multiple computer like online game . In parallel computing, all processors may have access to a shared memory to exchange information between processors. In distributed computing, each processor has its own private memory (distributed...
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Distributed computing is a model in which system models are shared among multiple computer like online game . In parallel computing, all processors may have access to a shared memory to exchange information between processors. In distributed computing, each processor has its own private memory (distributed memory). Information is exchanged by passing messages between the processors read less
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Parallel computing is a generic thing: two or more processes run at the same time to cooperatively achieve a common task. Map reduce is parallel computing framework too but provides only two constructs:map and reduce. While this may seem too restrictive there are quite a bit of problems ranging from...
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Parallel computing is a generic thing: two or more processes run at the same time to cooperatively achieve a common task. Map reduce is parallel computing framework too but provides only two constructs:map and reduce. While this may seem too restrictive there are quite a bit of problems ranging from simple ETL (extract, transform, and load) to machine learning that can be expressed using maps and reduces. Map reduce frameworks such as Hadoop let’s the user worry about writing the logic for Map and Reduce tasks and takes care of doing the distribution of tasks. With built-in fault tolerance, this makes it great to come up with solutions to large scale data analytics problems easily. read less
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Related Questions

I want to take online classes on database/ ETL testing.

 

Also i look forward to teach Mathematics/Science for class X-XII

Both are co-related to each other but compare to DBA Jobs, ETL job is more demanding hence you take class for informatica tools and others.
Varsha
0 0
7
Which Hadoop course should I take?
Take apache spark and scala course . Spark is high on demand now and one of the highly efficient and heavily used bigdata tools in market.I do provide Apache spark with scala and python course . You can reach me out for more details
Srinivasan
0 0
6
What are some of the best blogs for Hadoop?
DBMS2 is the best personal database and analytics blog. Hortonworks’ blog is a must-read for Hadoop users. Cloudera also maintains an important Hadoop blog.
Rahul
What are some of the big data processing frameworks one should know about?
Apache Spark ,Apache Akka , Apache Flink ,Hadoop
Arun
0 0
5

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