Hire the best Map Reduce Developers

Top 6 Map Reduce Developers Hired This Month

  • raulbehl's Profile Picture
    raulbehl
    Freelancer in JAMMU, India
    74 Reviews

    I am a Electronics & Instrumentation Engineer. My skills set include: i) Matlab/LabView/Logisim ii) Engineering Mathematics iii) Assembly (ARM, MIPS, PLP, x86 and pep/8) / Computer Architecture iv) Verilog/System Verilog/UVM v) Raspberry Pi/Arduino/TMS320C5535 eZdsp/TM4C123 vi) PSpice vii) C/C++, Qt, Python viii) ...

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  • ngcomp's Profile Picture
    ngcomp
    Freelancer in San Jose, United States
    7 Reviews

    NGComp is a team of highly skilled people in a) Map Reduce using Cassandra, Elasticsearch, Kibana, Graylog, Bigdata, Hadoop, HBase, CouchDB, MongoDB. b) Cloud Computing across IAAS, PAAS and SAAS layers on Amazon EC2, Xen Platform including. Citrix Xenserver VMWare vSphere, vCloud Director. ...

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  • KomatinaSlobodan's Profile Picture
    KomatinaSlobodan
    Freelancer in Novi Pazar, Serbia
    10 Reviews

    Faculty of Civil Engineering - University of Belgrade Efficiently and quickly solve a lot of problems about GIS, Cartography, etc. I have a broad range of experience in: - collecting data and calculating mapmaking information to use in performing computations and computer-aided drafting; - Real Estate Cadastre an ...

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  • Shatrughna2110's Profile Picture
    Shatrughna2110
    Freelancer in Udaipur, India
    24 Reviews

    I can help you with -PrestaShop Installation & Configuration -PrestaShop Custom Development -PrestaShop Ongoing Support and bug fixes -PrestaShop Upgrades -PrestaShop Module Development -PrestaShop Web Server Migrations -Product imports from other shop/xml/csv ->Professional working experience of 11 years in softw ...

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  • utkarshkatiyar19's Profile Picture
    utkarshkatiyar19
    Freelancer in kanpur, India
    233 Reviews

    Hello, I have proven experience in C , C++ , Java, Python, PHP, Perl, R, PL/SQL and Ruby programming languages on Linux, and Windows platforms . I have knowledge in many Computer Science related concepts such as Algorithms, Data Structures, Networking , Cryptography, Databases, Operating Systems , Compil ...

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  • pradipsinhchavda's Profile Picture
    pradipsinhchavda
    Freelancer in Ahmedabad, India
    6 Reviews

    I am java developer.I have hands on experience in advance java technology like spring, hibernate.I have also explored Apache hadoop ,amazon cloud EC2, Machine learning, setting up cluster on EC2, Big data analysis.

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Finding Map Reduce Developers on Freelancer

MapReduce is a programming process that processes and generates large data sets that include a distributed algorithm on a cluster. A program that uses MapReduce will have a filtering and sorting integration as well as a reduce method that will summarise the information.

The system of MapReduce arranges the marshalling of distributed servers and runs various tasks that are concurrent whilst data transfers and communication continue to take place.

MapReduce has been written into a range of programming languages and the process is particularly popular in open source implementations.

Steps that take place in the MapReduce process are outlined below:

  • Map step - each worker node applies the map function to data and writes the output to temporary storage.
  • Shuffle step - data belonging to one key is sent to the same worker node.
  • Reduce step - each group of data is processed in a parallel format.

The data is usually running in sequence in the MapReduce process and data can be shared among different servers throughout the process.

The main benefit of the MapReduce process is to exploit the optimized shuffle operation of the platform and reduce the data written to the disk. MapReduce is a fairly technical programming process and is managed by experienced developers with a deep understanding of technology.

Businesses or individuals may use the MapReduce process for a range of reasons including:

  • Distributed pattern-based searching
  • Distributed sorting
  • Web link-graph reversal
  • Web access log stats
  • Inverted index construction
  • Document clustering
  • Machine learning
  • Desktop grids
  • Volunteer computing environments
  • Mobile environments

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