Udemy

Learn Spark and Hadoop Overnight on GCP

立即報名
  • 1,457 名學生
  • 更新於 8/2018
4.1
(22 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
3 小時 34 分鐘
教學語言
英語
授課導師
CS PRO
評分
4.1
(22 個評分)
3次瀏覽

課程簡介

Learn Spark and Hadoop Overnight on GCP

Learn Hands-on by Building Your Own System on Spark and Hadoop

This is a comprehensive hands on course on Spark Hadoop

  • In this course we focused on Big Data and open source solutions around that. 

  • We require these tools for our E-commerce end of Project CORE (Create your Own Recommendation Engine) is one of its kind of project to learn technology End-to-End

  • We will explore Hadoop one of the prominent Big Data solution

  • We will look Why part and How part of it and its ecosystem, its Architecture and basic inner working and will also spin our first Hadoop under 2 min in Google Cloud

  • This particular course we are going to use in Project CORE which is comprehensive project on hands on technologies. In Project CORE you will learn more about Building you own system on Big Data, Spark, Machine Learning, SAPUI5, Angular4, D3JS, SAP® HANA®

  • With this Course you will get a brief understanding on Apache Spark™, Which is a fast and general engine for large-scale data processing. 

  • Spark is used in Project CORE to manage Big data with HDFS file system, We are storing 1.5 million records of books in spark and implementing collaborative filtering algorithm. 

  • Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python and R shells. 

  • Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. 

  • Runs Everywhere - Spark runs on Hadoop, Mesos, standalone, or in the cloud.   




課程章節

  • 2 個章節
  • 41 堂課
  • 第 1 章 Introduction
  • 第 2 章 Up and Running With Spark on GCP

課程內容

  • For E-Commerce Data Load and Operation Setting Up Hadoop and Spark
  • Up and Running With Spark on GCP

評價

  • P
    Poonam
    1.0

    useless .. not satisfied

  • N
    Namaka Studio
    4.0

    Good introduction to Spark

  • C
    Chandra Shekhar Singh
    4.5

    It simplified the learning. In configuring jupyter on GCP section please cover firewall setting using VCP.

  • I
    Il-Hyung Cho
    5.0

    Some of the best course if you want to learn MapReduce and Spark on Hadoop and on Dataproc in Google Cloud Platform.

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