Need Help In Hadoop MapReduce and Spark Using Java

Are you looking for Hadoop MapReduce and Spark Assignment Help? Codersarts Hadoop MapReduce and Spark expert offer the best quality Cloud Computing and Big Data Analytics assignment in java and python. Get MapReduce and Spark Assignment Help at an affordable price from the best professional experts Assignment Help. Order now at get 15% off.

Introduction about Hadoop Platform?

Hadoop is a data management and distributed processing system. It contains many components, including:

  • HDFS is a file system that distributes data across many machines

  • MapReduce for batch parallel computing

MapReduce provides:

  • Automatic parallelization and distribution

  • Fault tolerance

  • Input/Output Scheduling

  • Monitoring and Status updates

How MapReduce Data programming model works

  • MapReduce has two main tasks: Map, Reduce

  • The data blocks distributed across different machines are processed by Map tasks in parallel.

  • Results are aggregated in Reducers

  • Works only with KEY/VALUE pairs

MapReduce Key/Value Pairs

The data exchanged between Map and Reduce, and more, in the entire job are pairs (key, value):

  • a key: it is any type of data: integer, text. . .

  • a value: it is any type of data

Everything is represented like this. For example :

  • a text file is a set of (line number, line).

  • a weather file is a set of (date and time, temperature)

It is this notion that makes programs quite strange to beginners: the two functions Map and Reduce receive and transmit such pairs.

MapReduce – Word count example:

Pseudo-code: word count

Map (Long input_key, String input_values) :

   foreach word w in input_values:
       EmitIntermediate (w,1); 
Reduce (String key, Iterator intermediate_values):

     int result=0;

     foreach v in intermediate_values:
         result += ParseInt( v );
     Emit (key, String( result ));


  1. Using MapReduce, calculate the sum of the odd and even numbers contained in a Text file:

  2. Using MapReduce, calculate the sum of a list of numbers contained in a Text file:

  3. Using MapReduce, determine the duplicate elements in a list of numbers contained in a file:

  4. Using MapReduce, determine the maximum and minimum of a list of numbers contained in a file:

  5. Using MapReduce, determine how many odd and even numbers in a list of numbers contained in a file:

  6. Using MapReduce, determine the total number of words in a in a Text file:

Contact us for map-reduce assignment help and Solutions by Codersarts experts who can help you mentor and guide foe such MapReduce assignments.

If you have project or assignment files, You can send at  directly

Contact Us

Tel: (+91) 0120  4118730  

Time :   10 : 00  AM -  08 : 00 PM IST 

Registered address: G-69, Sector 63, 

 Noida - 201301, India

We Provide Services Across The different countries

USA    Australia   Canada   UK    UAE    Singapore   New Zealand    Malasia   India   Ireland   Germany

CodersArts is a Product by Sofstack Technology Solutions Pvt. Ltd.

  • CodersArts | Linkedin
  • Instagram