Hire the best Map Reduce Developers

Top 6 Map Reduce Developers Hired This Month

  • Shatrughna2110's Profile Picture
    Shatrughna2110
    Freelancer in Udaipur, India
    26 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 software...

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  • ReflectColor's Profile Picture
    ReflectColor
    Freelancer in Pancevo, Serbia
    42 Reviews

    From 2006 I am engaged in development of solution based on: • Programming languages: JavaScript, PHP and C# • Databases: PostgreSQL/PostGIS, MySQL, MS SQL and MongoDB. • Markup language: HTML/HTML5 • Style sheet language: CSS/CSS3 • WebGIS: Google Maps, OpenStreetMap, Bing Maps and MapServer. ...

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  • BalajiSankarK's Profile Picture
    BalajiSankarK
    Freelancer in Bangaluru, India
    1 Reviews

    I am working as a Big Data Engineer. Strong knowledge on Distributed computation platform. Expert in Spark-Scala

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  • amitkumar0327's Profile Picture
    amitkumar0327
    Freelancer in Bangalore, India
    14 Reviews

    An accomplished technical professional with vast experience in Big Data Technologies, worked throughout the entire software development life cycle from requirements gathering/analysis, design, development and testing. Have deep and proven experience in Spark, MapReduce, Core Java, Apache Hadoop Framework and various...

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  • punitpuneet2008's Profile Picture
    punitpuneet2008
    Freelancer in Indore, India
    10 Reviews

    We are a team of excellent and experienced engineers. We specialize in the area of Big data , Hadoop , NoSQLs(Cassandra , MongoDB, Hbase ,Redis) , Java and J2ee area. Our team include number of engineers with below skillset - Java - J2EE - Hadoop(MR,Pig,Hive,Hbase) - Spark - Cassandra - Redis - Spring Framework -...

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  • rymnikski's Profile Picture
    rymnikski
    Freelancer in Guacara, Venezuela
    13 Reviews

    Telecommunications engineering and CCNA student, good knowledge on Python, PHP, HTML, MATLAB, Java microcontrollers and DSP programming. under Mikro BASIC, Mikro C, MPLAB and CCS studio. Skills: - Progamming lenguage: C#/C/C++/Basic, JAVA, Python, MATLAB, HTML/CSS, PHP, JavaScript, XML, Latex. -Frameworks: .NET,...

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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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