【2022年】十大Apache Spark課程熱門排行推薦與優惠精選!

 

本文章推薦「Apache Spark with Scala – Hands On with Big Data!」、「Taming Big Data with Apache Spark and Python – Hands On!」、「Scala and Spark for Big Data and Machine Learning」等相關Apache Spark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。





Apache Spark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Apache Spark with Scala – Hands On with Big Data!Taming Big Data with Apache Spark and Python – Hands On!Scala and Spark for Big Data and Machine LearningStreaming Big Data with Spark Streaming and Scala – Hands OnApache Spark 2.0 with Java -Learn Spark from a Big Data GuruCCA 175 – Spark and Hadoop Developer Certification – ScalaApache Spark 3 – Spark Programming in Python for BeginnersApache Spark for Java DevelopersSpark 3 & Big Data Essentials with Scala | Rock the JVMApache Spark 3 – Spark Programming in Scala for Beginners
課程圖示
1

Apache Spark with Scala - Hands On with Big Data!

2

Taming Big Data with Apache Spark and Python - Hands On!

3

Scala and Spark for Big Data and Machine Learning

4

Streaming Big Data with Spark Streaming and Scala - Hands On

5

Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

6

CCA 175 - Spark and Hadoop Developer Certification - Scala

7

Apache Spark 3 - Spark Programming in Python for Beginners

8

Apache Spark for Java Developers

9

Spark 3 & Big Data Essentials with Scala | Rock the JVM

10

Apache Spark 3 - Spark Programming in Scala for Beginners

課程原價NT$ 2,690NT$ 2,690NT$ 2,790NT$ 2,990NT$ 2,690NT$ 790NT$ 590NT$ 1,190NT$ 1,790NT$ 790
課程售價NT$ 470NT$ 470NT$ 470NT$ 530NT$ 470NT$ 470NT$ 470NT$ 470NT$ 470NT$ 470
課程評價(人數)4.6 分(14,026 個評分)4.5 分(11,166 個評分)4.5 分(4,771 個評分)4.7 分(3,091 個評分)4.4 分(2,715 個評分)4.3 分(2,289 個評分)4.6 分(1,925 個評分)4.6 分(1,827 個評分)4.7 分(1,086 個評分)4.6 分(1,015 個評分)
課程時長9 小時7 小時10 小時6 小時3.5 小時24 小時6.5 小時21.5 小時7.5 小時 小時
學生人數74,227 人63,622 人28,254 人22,991 人19,436 人18,063 人11,304 人10,704 人6,085 人5,767 人
課程特色Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala!Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!Learn the latest Big Data technology – Spark and Scala, including Spark 2.0 DataFrames!Spark Streaming tutorial covering Spark Structured Streaming, Kafka integration, and streaming big data in real-time.Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.Cloudera Certified Associate Spark and Hadoop Developer using Scala as Programming LanguageData Engineering using Spark Structured APIGet processing Big Data using RDDs, DataFrames, SparkSQL and Machine Learning – and real time streaming with Kafka!Now with Spark 3: Learn practical Big Data with Spark DataFrames, Datasets, RDDs and Spark SQL, hands-on, in ScalaData Engineering using Spark Structured API
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



Apache Spark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

Apache Spark 3 – Spark Programming in Scala for Beginners

Data Engineering using Spark Structured API
NT$ 790
NT$ 470

點擊看Udemy

課程老師Prashant Kumar Pandey
課程評價4.6 分(1,015 個評分)
課程時長 小時
學生人數5,767 人

課程介紹

This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

About the Course

I am

瞭解更多細節

哪些人適合這堂課?

  • Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark
  • Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark

學習目標

  • Apache Spark Foundation and Spark Architecture
  • Data Engineering and Data Processing in Spark
  • Working with Data Sources and Sinks
  • Working with Data Frames, Data Sets and Spark SQL
  • Using IntelliJ Idea for Spark Development and Debugging
  • Unit Testing, Managing Application Logs and Cluster Deployment

關注這課程的人也購買了這些…

9

Spark 3 & Big Data Essentials with Scala | Rock the JVM

Now with Spark 3: Learn practical Big Data with Spark DataFrames, Datasets, RDDs and Spark SQL, hands-on, in Scala
NT$ 1,790
NT$ 470

點擊看Udemy

課程老師Daniel Ciocîrlan
課程評價4.7 分(1,086 個評分)
課程時長7.5 小時
學生人數6,085 人

課程介紹

UPDATED FOR SPARK 3.0

In this course, we will learn how to write big data applications with Apache Spark 3 and Scala. You’ll write 2000+ lines of Spark code yourself, with guidance, and you will become a rockstar.

This course is for Scala programme

瞭解更多細節

哪些人適合這堂課?

  • Future data scientists
  • Programmers getting into the field of Big Data
  • Engineers wanting to learn Spark in Scala, its native language

學習目標

  • apply Spark big data principles
  • practice Spark DataFrames operations with 100+ examples and exercises
  • practice type-safe data processing with Spark Datasets
  • work with low-level Spark APIs with RDDs
  • use Spark SQL for data processing
  • migrate data from various data sources, including databases

關注這課程的人也購買了這些…



8

Apache Spark for Java Developers

Get processing Big Data using RDDs, DataFrames, SparkSQL and Machine Learning – and real time streaming with Kafka!
NT$ 1,190
NT$ 470

點擊看Udemy

課程老師Richard Chesterwood
課程評價4.6 分(1,827 個評分)
課程時長21.5 小時
學生人數10,704 人

課程介紹

Get started with the amazing Apache Spark parallel computing framework – this course is designed especially for Java Developers.

If you’re new to Data Science and want to find out about how massive datasets are processed in parallel, then the Java A

瞭解更多細節

哪些人適合這堂課?

  • Anyone who already knows Java and would like to explore Apache Spark
  • Anyone new to Data Science who want a fast way to get started, without learning Python, Scala or R!

學習目標

  • Use functional style Java to define complex data processing jobs
  • Learn the differences between the RDD and DataFrame APIs
  • Use an SQL style syntax to produce reports against Big Data sets
  • Use Machine Learning Algorithms with Big Data and SparkML
  • Connect Spark to Apache Kafka to process Streams of Big Data
  • See how Structured Streaming can be used to build pipelines with Kafka

關注這課程的人也購買了這些…

7

Apache Spark 3 – Spark Programming in Python for Beginners

Data Engineering using Spark Structured API
NT$ 590
NT$ 470

點擊看Udemy

課程老師Prashant Kumar Pandey
課程評價4.6 分(1,925 個評分)
課程時長6.5 小時
學生人數11,304 人

課程介紹

This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

About the Course

I am

瞭解更多細節

哪些人適合這堂課?

  • Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark
  • Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark

學習目標

  • Apache Spark Foundation and Spark Architecture
  • Data Engineering and Data Processing in Spark
  • Working with Data Sources and Sinks
  • Working with Data Frames and Spark SQL
  • Using PyCharm IDE for Spark Development and Debugging
  • Unit Testing, Managing Application Logs and Cluster Deployment

關注這課程的人也購買了這些…



6

CCA 175 – Spark and Hadoop Developer Certification – Scala

Cloudera Certified Associate Spark and Hadoop Developer using Scala as Programming Language
NT$ 790
NT$ 470

點擊看Udemy

課程老師Durga Viswanatha Raju Gadiraju
課程評價4.3 分(2,289 個評分)
課程時長24 小時
學生人數18,063 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…

5

Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.
NT$ 2,690
NT$ 470

點擊看Udemy

課程老師Tao W.
課程評價4.4 分(2,715 個評分)
課程時長3.5 小時
學生人數19,436 人

課程介紹

What is this course about:

This course covers all the fundamentals about Apache Spark with Java and teaches you everything you need to know about developing Spark applications with Java. At the end of this course, you will gain in-depth knowledge ab

瞭解更多細節

哪些人適合這堂課?

  • Anyone who want to fully understand how Apache Spark technology works and learn how Apache Spark is being used in the field.
  • Software engineers who want to develop Apache Spark 2.0 applications using Spark Core and Spark SQL.
  • Data scientists or data engineers who want to advance their career by improving their big data processing skills.

學習目標

  • An overview of the architecture of Apache Spark.
  • Work with Apache Spark’s primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
  • Develop Apache Spark 2.0 applications using RDD transformations and actions and Spark SQL.
  • Scale up Spark applications on a Hadoop YARN cluster through Amazon’s Elastic MapReduce service.
  • Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding about Spark SQL.
  • Share information across different nodes on a Apache Spark cluster by broadcast variables and accumulators.
  • Advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
  • Best practices of working with Apache Spark in the field.

關注這課程的人也購買了這些…



4

Streaming Big Data with Spark Streaming and Scala – Hands On

Spark Streaming tutorial covering Spark Structured Streaming, Kafka integration, and streaming big data in real-time.
NT$ 2,990
NT$ 530

點擊看Udemy

課程老師Sundog Education by Frank Kane
課程評價4.7 分(3,091 個評分)
課程時長6 小時
學生人數22,991 人

課程介紹

New! Updated for Spark 3.0.0!

“Big Data” analysis is a hot and highly valuable skill. Thing is, “big data” never stops flowing! Spark Streaming is a new and quickly developing technology for processing massive data sets as they are created – why wai

瞭解更多細節

哪些人適合這堂課?

  • Students with some prior programming or scripting ability SHOULD take this course.
  • If you’re working for a company with “big data” that is being generated continuously, or hope to work for one, this course is for you.
  • Students with no prior software engineering or programming experience should seek an introductory programming course first.

學習目標

  • Process massive streams of real-time data using Spark Streaming
  • Integrate Spark Streaming with data sources, including Kafka, Flume, and Kinesis
  • Use Spark 2’s Structured Streaming API
  • Create Spark applications using the Scala programming language
  • Output transformed real-time data to Cassandra or file systems
  • Integrate Spark Streaming with Spark SQL to query streaming data in real time
  • Train machine learning models with streaming data, and use those models for real-time predictions
  • Ingest Apache access log data and transform streams of it
  • Receive real-time streams of Twitter feeds
  • Maintain stateful data across a continuous stream of input data
  • Query streaming data across sliding windows of time

關注這課程的人也購買了這些…

3

Scala and Spark for Big Data and Machine Learning

Learn the latest Big Data technology – Spark and Scala, including Spark 2.0 DataFrames!
NT$ 2,790
NT$ 470

點擊看Udemy

課程老師Jose Portilla
課程評價4.5 分(4,771 個評分)
課程時長10 小時
學生人數28,254 人

課程介紹

Learn how to utilize some of the most valuable tech skills on the market today, Scala and Spark! In this course we will show you how to use Scala and Spark to analyze Big Data.

Scala and Spark are two of the most in demand skills right now, and wit

瞭解更多細節

哪些人適合這堂課?

  • Someone who already knows how to program and is interested in learning Big Data Technologies
  • Interested in using Spark with Scala for Machine Learning with Large Data Sets

學習目標

  • Use Scala for Programming
  • Use Spark 2.0 DataFrames to read and manipulate data
  • Use Spark to Process Large Datasets
  • Understand hot to use Spark on AWS and DataBricks

關注這課程的人也購買了這些…



2

Taming Big Data with Apache Spark and Python – Hands On!

Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!
NT$ 2,690
NT$ 470

點擊看Udemy

課程老師Sundog Education by Frank Kane
課程評價4.5 分(11,166 個評分)
課程時長7 小時
學生人數63,622 人

課程介紹

New! Updated for Spark 3, more hands-on exercises, and a stronger focus on DataFrames and Structured Streaming.

“Big data” analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark.

瞭解更多細節

哪些人適合這堂課?

  • People with some software development background who want to learn the hottest technology in big data analysis will want to check this out. This course focuses on Spark from a software development standpoint; we introduce some machine learning and data mining concepts along the way, but that’s not the focus. If you want to learn how to use Spark to carve up huge datasets and extract meaning from them, then this course is for you.
  • If you’ve never written a computer program or a script before, this course isn’t for you – yet. I suggest starting with a Python course first, if programming is new to you.
  • If your software development job involves, or will involve, processing large amounts of data, you need to know about Spark.
  • If you’re training for a new career in data science or big data, Spark is an important part of it.

學習目標

  • Use DataFrames and Structured Streaming in Spark 3
  • Frame big data analysis problems as Spark problems
  • Use Amazon’s Elastic MapReduce service to run your job on a cluster with Hadoop YARN
  • Install and run Apache Spark on a desktop computer or on a cluster
  • Use Spark’s Resilient Distributed Datasets to process and analyze large data sets across many CPU’s
  • Implement iterative algorithms such as breadth-first-search using Spark
  • Use the MLLib machine learning library to answer common data mining questions
  • Understand how Spark SQL lets you work with structured data
  • Understand how Spark Streaming lets your process continuous streams of data in real time
  • Tune and troubleshoot large jobs running on a cluster
  • Share information between nodes on a Spark cluster using broadcast variables and accumulators
  • Understand how the GraphX library helps with network analysis problems

關注這課程的人也購買了這些…

1

Apache Spark with Scala – Hands On with Big Data!

Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala!
NT$ 2,690
NT$ 470

點擊看Udemy

課程老師Sundog Education by Frank Kane
課程評價4.6 分(14,026 個評分)
課程時長9 小時
學生人數74,227 人

課程介紹

New! Completely updated and re-recorded for Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

“Big data” analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data:

瞭解更多細節

哪些人適合這堂課?

  • Software engineers who want to expand their skills into the world of big data processing on a cluster
  • If you have no previous programming or scripting experience, you’ll want to take an introductory programming course first.

學習目標

  • Frame big data analysis problems as Apache Spark scripts
  • Develop distributed code using the Scala programming language
  • Optimize Spark jobs through partitioning, caching, and other techniques
  • Build, deploy, and run Spark scripts on Hadoop clusters
  • Process continual streams of data with Spark Streaming
  • Transform structured data using SparkSQL, DataSets, and DataFrames
  • Traverse and analyze graph structures using GraphX
  • Analyze massive data set with Machine Learning on Spark

關注這課程的人也購買了這些…



Apache Spark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Apache Spark with Scala – Hands On with Big Data!Taming Big Data with Apache Spark and Python – Hands On!Scala and Spark for Big Data and Machine LearningStreaming Big Data with Spark Streaming and Scala – Hands OnApache Spark 2.0 with Java -Learn Spark from a Big Data GuruCCA 175 – Spark and Hadoop Developer Certification – ScalaApache Spark 3 – Spark Programming in Python for BeginnersApache Spark for Java DevelopersSpark 3 & Big Data Essentials with Scala | Rock the JVMApache Spark 3 – Spark Programming in Scala for Beginners
課程圖示
1

Apache Spark with Scala - Hands On with Big Data!

2

Taming Big Data with Apache Spark and Python - Hands On!

3

Scala and Spark for Big Data and Machine Learning

4

Streaming Big Data with Spark Streaming and Scala - Hands On

5

Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

6

CCA 175 - Spark and Hadoop Developer Certification - Scala

7

Apache Spark 3 - Spark Programming in Python for Beginners

8

Apache Spark for Java Developers

9

Spark 3 & Big Data Essentials with Scala | Rock the JVM

10

Apache Spark 3 - Spark Programming in Scala for Beginners

課程原價NT$ 2,690NT$ 2,690NT$ 2,790NT$ 2,990NT$ 2,690NT$ 790NT$ 590NT$ 1,190NT$ 1,790NT$ 790
課程售價NT$ 470NT$ 470NT$ 470NT$ 530NT$ 470NT$ 470NT$ 470NT$ 470NT$ 470NT$ 470
課程評價(人數)4.6 分(14,026 個評分)4.5 分(11,166 個評分)4.5 分(4,771 個評分)4.7 分(3,091 個評分)4.4 分(2,715 個評分)4.3 分(2,289 個評分)4.6 分(1,925 個評分)4.6 分(1,827 個評分)4.7 分(1,086 個評分)4.6 分(1,015 個評分)
課程時長9 小時7 小時10 小時6 小時3.5 小時24 小時6.5 小時21.5 小時7.5 小時 小時
學生人數74,227 人63,622 人28,254 人22,991 人19,436 人18,063 人11,304 人10,704 人6,085 人5,767 人
課程特色Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala!Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!Learn the latest Big Data technology – Spark and Scala, including Spark 2.0 DataFrames!Spark Streaming tutorial covering Spark Structured Streaming, Kafka integration, and streaming big data in real-time.Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.Cloudera Certified Associate Spark and Hadoop Developer using Scala as Programming LanguageData Engineering using Spark Structured APIGet processing Big Data using RDDs, DataFrames, SparkSQL and Machine Learning – and real time streaming with Kafka!Now with Spark 3: Learn practical Big Data with Spark DataFrames, Datasets, RDDs and Spark SQL, hands-on, in ScalaData Engineering using Spark Structured API
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Apache Spark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Apache Spark課程熱門排行推薦與優惠精選!

參考其他資料科學線上課程

除了本文介紹的課程種類以外,想要瞭解資料科學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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