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    トレントの詳細については "Udemy - Apache Spark SQL – Bigdata In-Memory Analytics Master Course"

    Udemy - Apache Spark SQL – Bigdata In-Memory Analytics Master Course

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    最終チェック: 12-10-2019 17:56:54

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    名前:Udemy - Apache Spark SQL – Bigdata In-Memory Analytics Master Course
    _DESCRIPTION_:

    Description

    This course is designed for professionals from zero experience to already skilled professionals to enhance their Spark SQL Skills. Hands on session covers on end to end setup of Spark Cluster in AWS and in local systems.

    In data pipeline whether the data is in structured or in unstructured form, the final extracted data would be in structured form only. At the final stage we need to work with the structured data. SQL is popular query language to do analysis on structured data.

    Apache spark facilitates distributed in-memory computing. Spark has inbuilt module called Spark-SQL for structured data processing. Users can mix SQL queries with Spark programs and seamlessly integrates with other constructs of Spark.

    Spark SQL facilitates loading and writing data from various sources like RDBMS, NoSQL databases, Cloud storage like S3 and easily it can handle different format of data like Parquet, Avro, JSON and many more.

    Spark Provides two types of APIs

    Low Level API – RDD

    High Level API – Dataframes and Datasets

    Spark SQL amalgamates very well with various components of Spark like Spark Streaming, Spark Core and GraphX as it has good API integration between High level and low level APIs.

    Initial part of the course is on Introduction on Lambda Architecture and Big data ecosystem. Remaining section would concentrate on reading and writing data between Spark and various data sources.

    Dataframe and Datasets are the basic building blocks for Spark SQL. We will learn on how to work on Transformations and Actions with RDDs, Dataframes and Datasets.

    Optimization on table with Partitioning and Bucketing.

    To facilitate the understanding on data processing following usecase have been included to understand the complete data flow.

    1) NHL Dataset Analysis

    2) Bay Area Bike Share Dataset Analysis
    Who this course is for:

       Beginners who wanted to start with Spark SQL with Apache Spark
       Data Analysts, Big data analysts
       Those who wants to leverage in-memory computing against structured data.

    Requirements

       Introduction to Big Data ecosystem
       Basics on SQL

    Last updated 5/2019
    YouTube動画:
    カテゴリ:Tutorials
    言語:English  English
    合計サイズ:1.78 GB
    情報のハッシュ:7ABE4E3F3192B7F993A66E07869530E18A2C4782
    を追加することによって:tutsgalaxy Verified Uploader
    追加日:2019-08-20 22:18:11
    トレントステータス:Torrent Verified


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