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    6 trabajados encontrados, precios en EUR
    big data project 6 días left

    You have joined a start-up company in Montreal that provides public transport services. One of the products is a trip planning application and the other one is consultancy to Bixi. You are responsible to create a data warehouse for the company to achieve the goal. You need to get an understanding of data feeds and implement appropriate batch or stream processing pipelines to load data in a data w...

    €193 (Avg Bid)
    €193 Oferta Promedio
    3 ofertas

    We need a single dedicated part time resource on hive,spark, Scala,shell scripting and hbase to give support on weekdays morning around 90 minutes IST 6 00 am to 8 00 am will provide 22000 per month and minimum 4+ years of experienced resource only eligible for the bid.

    €307 (Avg Bid)
    €307 Oferta Promedio
    6 ofertas

    Parsing a JSON file and having duplicate rows due to multiple array items. Need to flatten the data and make it a single record. Using Spark or Spark SQL.

    €18 (Avg Bid)
    €18 Oferta Promedio
    9 ofertas
    Conduct Spark Transformations 3 días left
    VERIFICADO

    I need to conduct spark transformations on different RDD's. I will provide the complete details in the chat.

    €33 (Avg Bid)
    €33 Oferta Promedio
    8 ofertas
    hadoop researcher 2 días left
    VERIFICADO

    professional in proposing new ideas in big data and hadoop, Hive query optimization,... I dont need a writer

    €507 (Avg Bid)
    €507 Oferta Promedio
    7 ofertas

    Needed big data admin to install and configure cloudera latest version on my server. the services should be discussed with me and installed. Provide optimum configuration for my cluster to run Hadoop services like oozie, sqoop, zookeeper, spark etc seamlessly. my server configurations are:AMD EPYC 7401P 24-Core Simultaneous Multithreading RAM: 128 GB DDR4 ECC Hard drive: 2 x 960 GB NVMe Datacenter...

    €169 (Avg Bid)
    €169 Oferta Promedio
    13 ofertas

    Principales artículos de la comunidad Spark