ODKAZ: https://www.skoleni-kurzy.eu/kurz-69161



Kurz: Developer Training For Spark and Hadoop


DataScript s.r.o.


This four-day hands-on training course delivers the key concepts and expertise participants need to ingest and process data on a Hadoop cluster using the most up-to-date tools and techniques. Employing Hadoop ecosystem projects such as Spark, Hive, Flume, Sqoop, and Impala, this training course is the best preparation for the real-world challenges faced by Hadoop developers. Participants lea> to identify which tool is the right one to use in a given situation, and will ...


Cena kurzu:
     ...   2.180 EUR / Kurz  

     ... včetně DPH: 2.638 EUR / Kurz

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    Popis kurzu
    Developer Training For Spark and Hadoop


    Kurz je určen pro ...

    Audience

    • This course is designed for developers and engineers who have programming experience.


    Lektoři kurzu

    Lektoři z firmy: DataScript s.r.o.


    [Kurz] Program kurzu (obsah přednášky/semináře/rekvalifikace/studia) ...

    Goals Through instructor-led discussion and interactive, hands-on exercises, participants will lea> Apache Spark and how it integrates with the entire Hadoop ecosystem, learning:

    • How data is distributed, stored, and processed in a Hadoop cluster
    • How to use Sqoop and Flume to ingest data
    • How to process distributed data with Apache Spark
    • How to model structured data as tables in Impala and Hive
    • How to choose the best data storage format for different data usage patterns
    • Best practices for data storage

    * Through instructor-led discussion and interactive, hands-on exercises, participants will lea> Apache Spark and how it integrates with the entire Hadoop ecosystem, learning:
    • How data is distributed, stored, and processed in a Hadoop cluster
    • How to use Sqoop and Flume to ingest data
    • How to process distributed data with Apache Spark
    • How to model structured data as tables in Impala and Hive
    • How to choose the best data storage format for different data usage patterns
    • Best practices for data storage

    Outline Read the entire course outline for more details. Prerequisites
    • Apache Spark examples and hands-on exercises are presented in Scala and Python, so the ability to program in one of those languages is required
    • Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful
    • Prior knowledge of Hadoop is not required



    [Kurz] Cíl školení / poznámka ke kurzu...

    Goals Through instructor-led discussion and interactive, hands-on exercises, participants will lea> Apache Spark and how it integrates with the entire Hadoop ecosystem, learning:
    • How data is distributed, stored, and processed in a Hadoop cluster
    • How to use Sqoop and Flume to ingest data
    • How to process distributed data with Apache Spark
    • How to model structured data as tables in Impala and Hive
    • How to choose the best data storage format for different data usage patterns
    • Best practices for data storage


    [Školení] Další popis kurzu (úroveň, minimální znalosti, informace o cenách kurzu) ...

    Prerequisites

    • Apache Spark examples and hands-on exercises are presented in Scala and Python, so the ability to program in one of those languages is required
    • Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful
    • Prior knowledge of Hadoop is not required




    ODKAZ: https://www.skoleni-kurzy.eu/kurz-69161



    Poslední aktualizace: 2024-04-25 00:41:43

    DataScript s.r.o.
    skoleni-kurzy.eu