【2022年】十大Hadoop課程熱門排行推薦與優惠精選!

 

本文章推薦「The Ultimate Hands-On Hadoop: Tame your Big Data!」、「Learn Big Data: The Hadoop Ecosystem Masterclass」、「Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool」等相關Hadoop線上課程,讓您滿足學習的慾望。

你是否想透過線上學習得到更多的技能,增加自己的技能樹?現在是學生的您,透過線上學習可以將更多專業知識用在課業學習上更加強所學。還是您是朝九晚五的上班族,尋找可以為工作上帶來更上一層樓的技能?或您是因為興趣或想培養其他興趣?

線上課程不受地理位置影響,不受時間早晚影響,老師來自世界各地,也不受學習程度影響的特色,讓您無時無刻想學都可以,想多看幾次增加熟悉度也可以。不同領域的老師將針對不同主題滿足您的學習目的,推薦的課程項目會陸續更新,絕對提供您最熱門人氣高的線上課程。

  • 線上課程老師來自於全球,文章推薦的熱門課程除了繁中課程以外還會有機會看到簡中和英文課程,可以針對自己喜好挑選。
  • 呈現的價錢會因為一些活動而有折扣,但折扣有可能一段時間後結束而調整回原價,最終價錢煩請到課程頁面進行確認。





Hadoop課程總覽

為了節省您的時間,本列表整理每個課程精要,讓您可以快速瀏覽這文章所提供的課程是否是您所需要的,點選您有興趣課程的「課程名稱」或「課程圖示」可以進一步跳到文章所屬課程的介紹區塊瞭解更多資訊。

課程名稱The Ultimate Hands-On Hadoop: Tame your Big Data!Big Data Hadoop and Spark with ScalaLearn Big Data: The Hadoop Ecosystem MasterclassTaming Big Data with MapReduce and Hadoop – Hands On!CCA 175 – Spark and Hadoop Developer Certification – ScalaBecome a Hadoop Developer |Training|TutorialHive to ADVANCE Hive (Real time usage) :Hadoop querying toolCCA 175 – Spark and Hadoop Developer – Python (pyspark)Hadoop Developer In Real WorldLearn By Example: Hadoop, MapReduce for Big Data problems
課程圖示
1

The Ultimate Hands-On Hadoop: Tame your Big Data!

2

Big Data Hadoop and Spark with Scala

3

Learn Big Data: The Hadoop Ecosystem Masterclass

4

Taming Big Data with MapReduce and Hadoop - Hands On!

5

CCA 175 - Spark and Hadoop Developer Certification - Scala

6

Become a Hadoop Developer |Training|Tutorial

7

Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool

8

CCA 175 - Spark and Hadoop Developer - Python (pyspark)

9

Hadoop Developer In Real World

10

Learn By Example: Hadoop, MapReduce for Big Data problems

課程原價NT$ 2,990NT$ 2,990NT$ 1,390NT$ 2,990NT$ 2,990NT$ 590NT$ 1,790NT$ 2,990NT$ 2,990
課程售價NT$ 390NT$ 430NT$ 390NT$ 390NT$ 430NT$ 390NT$ 390NT$ 390NT$ 6,590NT$ 390
課程評價(人數)4.6 分(24,559 個評分)4.6 分(570 個評分)4.4 分(3,909 個評分)4.5 分(2,639 個評分)4.3 分(2,255 個評分)4.2 分(1,170 個評分)4.4 分(3,163 個評分)4.2 分(1,585 個評分)4.5 分(1,676 個評分)4.6 分(680 個評分)
課程時長14.5 小時43.5 小時6 小時5 小時30 小時5 小時7 小時17.5 小時20.5 小時13.5 小時
學生人數134,958 人30,833 人22,066 人21,800 人17,769 人16,747 人16,238 人8,940 人8,028 人7,469 人
課程特色Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more! Over 25 technologies.Complete course (No Prerequisites) – Big Data Hadoop with Spark and Eco systemMaster the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, ZookeeperLearn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon’s Elastic MapReduce Service.Cloudera Certified Associate Spark and Hadoop Developer using Scala as Programming LanguageLearn Hadoop and get certified & bag one of the highest paying IT jobs in current times.In and Out of Apache Hive – From Basic Hive to Advance Hive (Real-Time concepts) + Use cases asked in InterviewsCloudera Certified Associate Spark and Hadoop Developer using Python as Programming LanguageFree Cluster Access * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR * Optimization * TroubleshootingA hands-on workout in Hadoop, MapReduce and the art of thinking “parallel”
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



Hadoop課程介紹

推薦的課程以倒序的方式呈現,越往下查看會看到越熱門的,期望您能找到滿意的學習主題!

10

Learn By Example: Hadoop, MapReduce for Big Data problems

A hands-on workout in Hadoop, MapReduce and the art of thinking “parallel”
NT$ 2,990
NT$ 390

點擊看Udemy

課程老師Loony Corn
課程評價4.6 分(680 個評分)
課程時長13.5 小時
學生人數7,469 人

課程介紹

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers  and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data. 

This course is a zoom-in, zoom-out, hands-o

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哪些人適合這堂課?

  • Yep! Analysts who want to leverage the power of HDFS where traditional databases don’t cut it anymore
  • Yep! Engineers who want to develop complex distributed computing applications to process lot’s of data
  • Yep! Data Scientists who want to add MapReduce to their bag of tricks for processing data

學習目標

  • Develop advanced MapReduce applications to process BigData
  • Master the art of “thinking parallel” – how to break up a task into Map/Reduce transformations
  • Self-sufficiently set up their own mini-Hadoop cluster whether it’s a single node, a physical cluster or in the cloud.
  • Use Hadoop + MapReduce to solve a wide variety of problems : from NLP to Inverted Indices to Recommendations
  • Understand HDFS, MapReduce and YARN and how they interact with each other
  • Understand the basics of performance tuning and managing your own cluster

關注這課程的人也購買了這些…

9

Hadoop Developer In Real World

Free Cluster Access * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR * Optimization * Troubleshooting
NT$ 6,590

點擊看Udemy

課程老師Hadoop In Real World
課程評價4.5 分(1,676 個評分)
課程時長20.5 小時
學生人數8,028 人

課程介紹

From the creators of the successful Hadoop Starter Kit course hosted in Udemy, comes Hadoop In Real World course. This course is designed for anyone who aspire a career as a Hadoop developer. In this course we have covered all the concepts that every

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哪些人適合這堂課?

  • This course is for anyone who aspire a career as a Hadoop Developer
  • This course is for anyone who want to learn and understand in depth about Hadoop and Big Data

學習目標

  • Understand what is Big Data, the challenges with Big Data and how Hadoop propose a solution for the Big Data problem
  • Work and navigate Hadoop cluster with ease
  • Install and configure a Hadoop cluster on cloud services like Amazon Web Services (AWS)
  • Understand the difference phases of MapReduce in detail
  • Write optimized Pig Latin instruction to perform complex data analysis
  • Write optimized Hive queries to perform data analysis on simple and nested datasets
  • Work with file formats like SequenceFile, AVRO etc
  • Understand Hadoop architecture, Single Point Of Failures (SPOF), Secondary/Checkpoint/Backup nodes, HA configuration and YARN
  • Tune and optimize slowing running MapReduce jobs, Pig instructions and Hive queries
  • Understand how Joins work behind the scenes and will be able to write optimized join statements
  • Wherever possible, students will be introduced to difficult questions that are asked in real Hadoop interviews

關注這課程的人也購買了這些…



8

CCA 175 – Spark and Hadoop Developer – Python (pyspark)

Cloudera Certified Associate Spark and Hadoop Developer using Python as Programming Language
NT$ 2,990
NT$ 390

點擊看Udemy

課程老師Durga Viswanatha Raju Gadiraju
課程評價4.2 分(1,585 個評分)
課程時長17.5 小時
學生人數8,940 人

課程介紹

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certifications. This scenario-based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies.

This comprehensive cou

瞭解更多細節

哪些人適合這堂課?

  • Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification

學習目標

  • Entire curriculum of CCA Spark and Hadoop Developer
  • HDFS Commands
  • Python Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames

關注這課程的人也購買了這些…

7

Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool

In and Out of Apache Hive – From Basic Hive to Advance Hive (Real-Time concepts) + Use cases asked in Interviews
NT$ 1,790
NT$ 390

點擊看Udemy

課程老師J Garg
課程評價4.4 分(3,163 個評分)
課程時長7 小時
學生人數16,238 人

課程介紹

Apache Hive is a data processing tool on Hadoop. It is a querying tool for HDFS and the syntax of it’s queries is almost similar to our old SQL. Hive is an open source-software that lets programmers analyze large data sets on Hadoop.

Benefits of thi

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哪些人適合這堂課?

  • Student who wants to learn Basic Hive + ADVANCE HIVE (Real Project Oriented).
  • Software Engineers who wants to learn What and How Hive queries are used in Real time projects.
  • Techies who wants to get knowledge of Real-time Use cases asked in Interviews.

學習目標

  • Learn Full In and out of Apache HIVE (From Basic to Advance level).
  • Strength of this course is ADVANCE HIVE which consists of those Hive areas that are actually used in Real-time projects.
  • Querying and managing large datasets that reside in distributed storage.
  • Learn Questions and Use cases asked in Interviews.
  • The course will be updated frequently, every-time including new topics.
  • Data-sets and Hive queries are available in resources tab. This will save your typing efforts.

關注這課程的人也購買了這些…



6

Become a Hadoop Developer |Training|Tutorial

Learn Hadoop and get certified & bag one of the highest paying IT jobs in current times.
NT$ 590
NT$ 390

點擊看Udemy

課程老師Nitesh Jain
課程評價4.2 分(1,170 個評分)
課程時長5 小時
學生人數16,747 人

課程介紹

“Completed my CCDH certification!!!”

“I have just completed the CCDH certification last week. And i must say that this course helped me a great deal to master the Hadoop concepts and gain confidence in taking up this challenging exam.

The course is

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哪些人適合這堂課?

  • Anyone interested in Hadoop, HDFS and MapReduce.
  • For those who want to learn programming in MapReduce a little OOP knowledge is assumed.
  • Basic database knowledge is assumed. (Like joins, normalisation)

學習目標

  • Code of all the programs discussed.
  • Builds strong MapReduce and Hadoop fundamentals.
  • 200+ highly relevant questions to prepare for certification exams like Cloudera and Hortonworks.
  • Massive Q&A repository.

關注這課程的人也購買了這些…

5

CCA 175 – Spark and Hadoop Developer Certification – Scala

Cloudera Certified Associate Spark and Hadoop Developer using Scala as Programming Language
NT$ 2,990
NT$ 430

點擊看Udemy

課程老師Durga Viswanatha Raju Gadiraju
課程評價4.3 分(2,255 個評分)
課程時長30 小時
學生人數17,769 人

課程介紹

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies.

This comprehensive cou

瞭解更多細節

哪些人適合這堂課?

  • Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification

學習目標

  • Entire curriculum of CCA Spark and Hadoop Developer
  • HDFS Commands
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames

關注這課程的人也購買了這些…



4

Taming Big Data with MapReduce and Hadoop – Hands On!

Learn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon’s Elastic MapReduce Service.
NT$ 2,990
NT$ 390

點擊看Udemy

課程老師Sundog Education by Frank Kane
課程評價4.5 分(2,639 個評分)
課程時長5 小時
學生人數21,800 人

課程介紹

“Big data” analysis is a hot and highly valuable skill – and this course will teach you two technologies fundamental to big data quickly: MapReduce and Hadoop. Ever wonder how Google manages to analyze the entire Internet on a continual basis? You’ll

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哪些人適合這堂課?

  • This course is best for students with some prior programming or scripting ability. We will treat you as a beginner when it comes to MapReduce and getting everything set up for writing MapReduce jobs with Python, MRJob, and Amazon’s Elastic MapReduce service – but we won’t spend a lot of time teaching you how to write code. The focus is on framing data analysis problems as MapReduce problems and running them either locally or on a Hadoop cluster. If you don’t know Python, you’ll need to be able to pick it up based on the examples we give. If you’re new to programming, you’ll want to learn a programming or scripting language before taking this course.

學習目標

  • Understand how MapReduce can be used to analyze big data sets
  • Write your own MapReduce jobs using Python and MRJob
  • Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce
  • Chain MapReduce jobs together to analyze more complex problems
  • Analyze social network data using MapReduce
  • Analyze movie ratings data using MapReduce and produce movie recommendations with it.
  • Understand other Hadoop-based technologies, including Hive, Pig, and Spark
  • Understand what Hadoop is for, and how it works

關注這課程的人也購買了這些…

3

Learn Big Data: The Hadoop Ecosystem Masterclass

Master the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, Zookeeper
NT$ 1,390
NT$ 390

點擊看Udemy

課程老師Edward Viaene
課程評價4.4 分(3,909 個評分)
課程時長6 小時
學生人數22,066 人

課程介紹

Important update: Effective January 31, 2021, all Cloudera software will require a valid subscription and only be accessible via the paywall. The sandbox can still be downloaded, but the full install requires a Cloudera subscription to get access to

瞭解更多細節

哪些人適合這堂課?

  • This course is for anyone that wants to know how Big Data works, and what technologies are involved
  • The main focus is on the Hadoop ecosystem. We don’t cover any technologies not on the Hortonworks Data Platform Stack
  • The course compares MapR, Cloudera, and Hortonworks, but we only use the Hortonworks Data Platform (HDP) in the demos

學習目標

  • Process Big Data using batch
  • Process Big Data using realtime data
  • Be familiar with the technologies in the Hadoop Stack
  • Be able to install and configure the Hortonworks Data Platform (HDP)

關注這課程的人也購買了這些…



2

Big Data Hadoop and Spark with Scala

Complete course (No Prerequisites) – Big Data Hadoop with Spark and Eco system
NT$ 2,990
NT$ 430

點擊看Udemy

課程老師Harish Masand
課程評價4.6 分(570 個評分)
課程時長43.5 小時
學生人數30,833 人

課程介紹

This course will make you ready to switch career on big data hadoop and spark.

After this watching this, you will understand about Hadoop, HDFS, YARN, Map reduce, python, pig, hive, oozie, sqoop, flume, HBase, No SQL, Spark, Spark sql, Spark Streami

瞭解更多細節

哪些人適合這堂課?

  • People looking to advance their career in Data Engineering, Big Data, Hadoop, Spark
  • Hadoop python spark scala hive pig oozie sqoop flume kafka

學習目標

  • You will learn about Hadoop, eco system, tools and spark
  • Big Data Hadoop Development

關注這課程的人也購買了這些…

1

The Ultimate Hands-On Hadoop: Tame your Big Data!

Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more! Over 25 technologies.
NT$ 2,990
NT$ 390

點擊看Udemy

課程老師Sundog Education by Frank Kane
課程評價4.6 分(24,559 個評分)
課程時長14.5 小時
學生人數134,958 人

課程介紹

The world of Hadoop and “Big Data” can be intimidating – hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop tutorial, you’ll not only understand what those systems are and how they fit together – but you

瞭解更多細節

哪些人適合這堂課?

  • Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend “big data” at scale.
  • Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop.
  • Data analysts and database administrators who are curious about Hadoop and how it relates to their work.
  • System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.

學習目標

  • Design distributed systems that manage “big data” using Hadoop and related technologies.
  • Use HDFS and MapReduce for storing and analyzing data at scale.
  • Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
  • Analyze relational data using Hive and MySQL
  • Analyze non-relational data using HBase, Cassandra, and MongoDB
  • Query data interactively with Drill, Phoenix, and Presto
  • Choose an appropriate data storage technology for your application
  • Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
  • Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
  • Consume streaming data using Spark Streaming, Flink, and Storm

關注這課程的人也購買了這些…



Hadoop課程總覽

看完了一連串課程的介紹後,你是否還想要再一次進行課程總比較呢?

課程名稱The Ultimate Hands-On Hadoop: Tame your Big Data!Big Data Hadoop and Spark with ScalaLearn Big Data: The Hadoop Ecosystem MasterclassTaming Big Data with MapReduce and Hadoop – Hands On!CCA 175 – Spark and Hadoop Developer Certification – ScalaBecome a Hadoop Developer |Training|TutorialHive to ADVANCE Hive (Real time usage) :Hadoop querying toolCCA 175 – Spark and Hadoop Developer – Python (pyspark)Hadoop Developer In Real WorldLearn By Example: Hadoop, MapReduce for Big Data problems
課程圖示
1

The Ultimate Hands-On Hadoop: Tame your Big Data!

2

Big Data Hadoop and Spark with Scala

3

Learn Big Data: The Hadoop Ecosystem Masterclass

4

Taming Big Data with MapReduce and Hadoop - Hands On!

5

CCA 175 - Spark and Hadoop Developer Certification - Scala

6

Become a Hadoop Developer |Training|Tutorial

7

Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool

8

CCA 175 - Spark and Hadoop Developer - Python (pyspark)

9

Hadoop Developer In Real World

10

Learn By Example: Hadoop, MapReduce for Big Data problems

課程原價NT$ 2,990NT$ 2,990NT$ 1,390NT$ 2,990NT$ 2,990NT$ 590NT$ 1,790NT$ 2,990NT$ 2,990
課程售價NT$ 390NT$ 430NT$ 390NT$ 390NT$ 430NT$ 390NT$ 390NT$ 390NT$ 6,590NT$ 390
課程評價(人數)4.6 分(24,559 個評分)4.6 分(570 個評分)4.4 分(3,909 個評分)4.5 分(2,639 個評分)4.3 分(2,255 個評分)4.2 分(1,170 個評分)4.4 分(3,163 個評分)4.2 分(1,585 個評分)4.5 分(1,676 個評分)4.6 分(680 個評分)
課程時長14.5 小時43.5 小時6 小時5 小時30 小時5 小時7 小時17.5 小時20.5 小時13.5 小時
學生人數134,958 人30,833 人22,066 人21,800 人17,769 人16,747 人16,238 人8,940 人8,028 人7,469 人
課程特色Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more! Over 25 technologies.Complete course (No Prerequisites) – Big Data Hadoop with Spark and Eco systemMaster the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, ZookeeperLearn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon’s Elastic MapReduce Service.Cloudera Certified Associate Spark and Hadoop Developer using Scala as Programming LanguageLearn Hadoop and get certified & bag one of the highest paying IT jobs in current times.In and Out of Apache Hive – From Basic Hive to Advance Hive (Real-Time concepts) + Use cases asked in InterviewsCloudera Certified Associate Spark and Hadoop Developer using Python as Programming LanguageFree Cluster Access * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR * Optimization * TroubleshootingA hands-on workout in Hadoop, MapReduce and the art of thinking “parallel”
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



從老師查找更多課程

以上推薦的課程還沒挑到自己有興趣的嗎?
還是您有熱衷某個老師開的課程呢?
本頁除了提供Hadoop的課程以外,也列出這些課程所屬的老師的主要資訊頁,您可以從下列選單中了解更多相關介紹或看他們開的其他課程,期望您最終能找到自己想學習的項目。



【2022年】十大Hadoop課程熱門排行推薦與優惠精選!

參考其他商業分析與智慧線上課程

除了本文介紹的課程種類以外,想要瞭解商業分析與智慧領域還有哪些不同類型的課程值得一探究竟嗎?讓您可以從不同面向更紮實的學習,點擊參考以下其他熱門主題文章。絕對提供您最優惠人氣滿檔的課程,歡迎繼續延伸閱讀。


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