10最好的Hadoop教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 Hadoop 技能并获得 Hadoop 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 Hadoop 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的Hadoop教程推荐

课程名 在校生（人数） 评论（计数）
1. The Ultimate Hands-On Hadoop: Tame your Big Data! 我们的最佳选择 157953+ 27340+
2. Learn Big Data: The Hadoop Ecosystem Masterclass 29099+ 6042+
3. Big Data and Hadoop for Beginners – with Hands-on! 27963+ 2028+
4. Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool 21973+ 4515+
5. Spark SQL and Spark 3 using Scala Hands-On with Labs 19418+ 2468+
6. Become a Hadoop Developer |Training|Tutorial 16768+ 1176+
7. Spark SQL and PySpark 3 using Python 3 Hands-On with Labs 12365+ 1902+
8. Hadoop Developer In Real World 11211+ 2501+
9. Big Data Hadoop – The Complete Course 8805+ 914+
10. “Learn By Example: Hadoop, MapReduce for Big Data problems” 8609+ 961+

1. The Ultimate Hands-On Hadoop: Tame your Big Data! 经过 “Sundog Education by Frank Kane, Frank Kane, Sundog Education Team” Udemy课程 我们的最佳选择

“Data Engineering and Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more!”

截至目前，超过 157953+ 人们已经注册了这门课程，而且已经结束了 27340+ 评论.

课程内容
Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox.
Using Hadoop’s Core: HDFS and MapReduce
Programming Hadoop with Pig
Programming Hadoop with Spark
Using relational data stores with Hadoop
Using non-relational data stores with Hadoop
Querying your Data Interactively
Managing your Cluster
Feeding Data to your Cluster
Analyzing Streams of Data
Designing Real-World Systems
Learning More

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2. Learn Big Data: The Hadoop Ecosystem Masterclass 经过 Edward Viaene Udemy课程

“Master the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, Zookeeper”

截至目前，超过 29099+ 人们已经注册了这门课程，而且已经结束了 6042+ 评论.

课程内容
Introduction
What is Big Data and Hadoop
Introduction to Hadoop
Pig
Apache Spark
Hive
Real Time Processing
Kafka
Storm
Spark Streaming
HBase
Phoenix
Hadoop Security
Ranger
HDFS Encryption
Advanced Topics
Thank You

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3. Big Data and Hadoop for Beginners – with Hands-on! 经过 Andalib Ansari Udemy课程

“Everything you need to know about Big Data, and Learn Hadoop, HDFS, MapReduce, Hive & Pig by designing Data Pipeline.”

截至目前，超过 27963+ 人们已经注册了这门课程，而且已经结束了 2028+ 评论.

课程内容
Welcome to the Course
Big Data at a Glance
Getting Started with Hadoop
Getting Started with Hive
Getting Started with Pig
Use Cases
Practice

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4. Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool 经过 J Garg Udemy课程

In and Out of Apache Hive – From Basic Hive to Advance Hive (Real-Time concepts) + Use cases asked in Interviews

截至目前，超过 21973+ 人们已经注册了这门课程，而且已经结束了 4515+ 评论.

课程内容
Introduction (Theory)
Hive Basic Commands
Functions in Hive
Partitioning in Hive
Bucketing in Hive
Joins in Hive
Views in Hive
Indexing (Advance)
UDF’s (User defined functions) Advance
Table Properties (Advance)
Configurations & Settings in Hive (Advance)
Variables in Hive (Advance)
Different Types of Files in Hadoop
Custom Input Fomatter (Advance)
Miscellaneous (Advance)
TEZ engine in Hive
Load XML data in Hive
Implementing SCD’s in Hive (Advance)
Use Cases asked in Interviews

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5. Spark SQL and Spark 3 using Scala Hands-On with Labs 经过 “Durga Viswanatha Raju Gadiraju, Asasri Manthena” Udemy课程

A comprehensive course on Spark SQL as well as Data Frame APIs using Scala with complementary lab access

截至目前，超过 19418+ 人们已经注册了这门课程，而且已经结束了 2468+ 评论.

课程内容
Introduction
Setting up Environment using AWS Cloud9
Setting up Environment – Overview of GCP and Provision Ubuntu VM
Setup Hadoop on Single Node Cluster
Setup Hive and Spark on Single Node Cluster
Scala Fundamentals
Overview of Hadoop HDFS Commands
Apache Spark 2 using Scala – Data Processing – Overview
Apache Spark 2 using Scala – Processing Column Data using Pre-defined Functions
Apache Spark 2 using Scala – Basic Transformations using Data Frames
Apache Spark 2 using Scala – Joining Data Sets
Apache Spark using SQL – Getting Started
Apache Spark using SQL – Basic Transformations
Apache Spark using SQL – Basic DDL and DML
Apache Spark using SQL – DML and Partitioning
Apache Spark using SQL – Pre-defined Functions
Apache Spark using SQL – Pre-defined Functions – Exercises
Apache Spark using SQL – Windowing Functions
Sample scenarios with solutions

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6. Become a Hadoop Developer |Training|Tutorial 经过 Nitesh Jain Udemy课程

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

截至目前，超过 16768+ 人们已经注册了这门课程，而且已经结束了 1176+ 评论.

课程内容
Welcome to the Course!
Introduction to Hadoop
Hadoop Setup
HDFS Architecture and Concepts
Understanding MapReduce
MapReduce Types and Formats
Classic MapReduce and YARN
Advanced MapReduce Concepts
Introduction to Hadoop Ecosystem
Final Frontier: Preparation for CDH-410 Certification Exams

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7. Spark SQL and PySpark 3 using Python 3 Hands-On with Labs 经过 “Durga Viswanatha Raju Gadiraju, Asasri Manthena” Udemy课程

A Comprehensive Course on Spark SQL as well as Data Frame APIs using Python 3 with complementary lab access

截至目前，超过 12365+ 人们已经注册了这门课程，而且已经结束了 1902+ 评论.

课程内容
Introduction about Spark SQL and PySpark 3 using Python 3
Using ITVersity Labs for hands-on practice (for ITVersity Lab Customers only)
Setup Hadoop and Spark Single Node Cluster on Windows 11 using Docker
Setup Hadoop and Spark Single Node Cluster on AWS Cloud9 using Docker
Python Fundamentals
Overview of Hadoop HDFS Commands
Apache Spark 2.x – Data processing – Getting Started
Apache Spark using SQL – Getting Started
Apache Spark using SQL – Basic Transformations using Spark SQL
Apache Spark using SQL – Basic DDL and DML
Apache Spark using SQL – DML and Partitioning
Apache Spark using SQL – Pre-defined Functions
Apache Spark SQL – Windowing Functions
Apache Spark using Python – Data Processing Overview
Apache Spark using Python – Processing Column Data
Apache Spark using Python – Basic Transformations
Apache Spark using Python – Joining Data Sets
Apache Spark using Python – Spark Metastore
Getting Started with Semi Structured Data using Spark
Process Semi Structured Data using Spark Data Frame APIs
Apache Spark – Application Development Life Cycle
Spark Application Execution Life Cycle and Spark UI
Setup SSH Proxy to access Spark Application logs
Deployment Modes of Spark Applications
Passing Application Properties Files and External Dependencies

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8. Hadoop Developer In Real World 经过 Hadoop In Real World Udemy课程

Free Cluster Access * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR * Optimization * Troubleshooting

截至目前，超过 11211+ 人们已经注册了这门课程，而且已经结束了 2501+ 评论.

课程内容
Thank You and Let’s Get Started
Introduction To Big Data
HDFS
MapReduce
Apache Pig
Apache Hive
Hive Window and Analytical Functions
Architechture
Cluster Setup
Hadoop Administrator In Real World (Preview)
File Formats
Troubleshooting and Optimizations
Apache Sqoop
Apache Flume
Kafka
Bonus

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9. Big Data Hadoop – The Complete Course 经过 “TELCOMA Global 70,000+ Students!” Udemy课程

“Learn BIG DATA HADOOP Hands-on from Global Experts – Apache Hadoop, HDFS, Map Reduce, YARN, Hive, PIG, Impala, Scoop”

截至目前，超过 8805+ 人们已经注册了这门课程，而且已经结束了 914+ 评论.

课程内容
BIG DATA
BIG DATA Hands-on Practice Exercise
HADOOP
HADOOP Hands-on Practice Exercise
MAP REDUCE
MAP REDUCE Hands-on Practice Exercise
YARN
Apache HIVE
HIVE – Hands-on Practice Exercise
Apache PIG
IMPALA
IMPALA Hands-on Practice Exercise
SQOOP
Zoo Keeper
OOZIE
Installation of Apache Hadoop 2.7.3 on Ubuntu

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10. “Learn By Example: Hadoop, MapReduce for Big Data problems” 经过 Loony Corn Udemy课程

“A hands-on workout in Hadoop, MapReduce and the art of thinking “parallel””

截至目前，超过 8609+ 人们已经注册了这门课程，而且已经结束了 961+ 评论.

课程内容
“Introduction
Why is Big Data a Big Deal
Installing Hadoop in a Local Environment
The MapReduce “Hello World”
Run a MapReduce Job
Juicing your MapReduce – Combiners, Shuffle and Sort and The Streaming API
HDFS and Yarn
MapReduce Customizations For Finer Grained Control
The Inverted Index, Custom Data Types for Keys, Bigram Counts and Unit Tests!
Input and Output Formats and Customized Partitioning
Recommendation Systems using Collaborative Filtering
Hadoop as a Database
K-Means Clustering
Setting up a Hadoop Cluster
Appendix”

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下面是一些关于学习的常见问题Hadoop

学习Hadoop需要多长时间？

“学习Hadoop需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 Hadoop 是为了什么？你的出发点在哪里？您是初学者还是有使用 Hadoop 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 Hadoop.

Hadoop 学起来容易还是难？

不，学习 Hadoop 对大多数人来说并不难。检查这个 关于如何学习的课程 Hadoop 立刻！

如何快速学习Hadoop？

学习 Hadoop 最快的方法是先得到这个 Hadoop 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 Hadoop？

如果您想探索和学习 Hadoop，那么 Udemy 为您提供了学习 Hadoop 的最佳平台。查看此 关于如何学习的课程 Hadoop 立刻！