The Best Hadoop online courses and training for beginners to learn Hadoop in 2020.

The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data. Apache Hive is a data processing tool on Hadoop. It is a querying tool for HDFS and the syntax of its queries is almost similar to our old SQL. Hive is an open-source software that lets programmers analyze large data sets on Hadoop.

Almost every large company you might want to work at uses Hadoop in some way, including Amazon, eBay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images.

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Top Hadoop Classes, Courses Certifications List

  1. Hadoop Framework Certification Course MapReduce, HDFS, Pig

  2. Hadoop Platform and Application Framework

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

  4. Learning Hadoop

  5. CCA 175 - Spark and Hadoop Developer - Python pyspark

  6. Big Data Analytics with Hadoop and Apache Spark

  7. Hadoop Developer In Real World: Learn Hadoop for Big Data

  8. RHadoop approach to clustering, classification and regression above big data.

  9. Intro to Hadoop and MapReduce Free Hadoop Course

1. Hadoop Framework Certification Course MapReduce, HDFS, Pig

You will learn and master the most popular big data technologies in this course. You will go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.

Course rating: 4.6 out of 5.0 ( 20,836 Ratings total)

In this course, you will learn how to:

  • 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 the management of Hadoop clusters 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.

You will learn how to install and work with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UI. You will also learn how to design real-world systems using the Hadoop ecosystem

During this course you will learn:

  • Installing and working with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UI
  • Managing big data on a cluster with HDFS and MapReduce
  • Writing programs to analyze data on Hadoop with Pig and Spark
  • Storing and querying your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto
  • Designing real-world systems using the Hadoop ecosystem
  • How your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue
  • Handling streaming data in real-time with Kafka, Flume, Spark Streaming, Flink, and Storm

You can take the Hadoop Framework Certification Course (MapReduce, HDFS, Pig) Certificate Course on Udemy.

2. Hadoop Platform and Application Framework

In this course, you will understand the core tools used to wrangle and analyze big data. You will walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry.

Course rating: 3.9 out of 5.0 ( 3,052 Ratings total)

In this course, you will learn how to:

  • gain skills in Python Programming, Apache Hadoop, Mapreduce, and Apache Spark.
  • understand the core tools used to wrangle and analyze big data.
  • understand the Hadoop and Spark frameworks.

You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment.

In the assignments, you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data.

You can take the Hadoop Platform and Application Framework Certificate Course on Coursera.

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

In this course, you will learn about Apache HIVE from start to end and understand variables, table properties, and compression techniques in Hive. You will also learn about Custom Input Formatter and other advanced functions of it.

Course rating: 4.4 out of 5.0 ( 2,223 Ratings total)

In this course, you will learn how to:

  • understand full in and out of Apache HIVE (From Basic to Advance level).
  • query and manage large datasets that reside in distributed storage.
  • confront the Questions and Use cases asked in Interviews.

The course includes:

  • Variables in Hive
  • Table properties of Hive
  • Custom Input Formatter
  • Map and Bucketed Joins
  • Advance functions in Hive
  • Compression techniques in Hive
  • Configuration settings of Hive
  • Working with Multiple tables in Hive
  • Loading Unstructured data in Hive

You can take Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool Certificate Course on Udemy.

4. Learning Hadoop

This course serves as an introduction to Hadoop; key file systems used with Hadoop; its processing engine, MapReduce, and its many libraries and programming tools.

Course rating: 4,927 total enrollments

In this course, you will learn how to:

  • understand the basics of Hadoop.
  • comprehend with the processing engine and many libraries and programming tools in Hadoop.
  • set up a Hadoop development environment.
  • run and optimize MapReduce jobs

The course shows how to set up a Hadoop development environment, run and optimize MapReduce jobs, code basic queries with Hive and Pig, and build workflows to schedule jobs.

You will learn about the depth and breadth of available Apache Spark libraries available for use with a Hadoop cluster, as well as options for running machine learning jobs on a Hadoop cluster.

You can take the Learning Hadoop Certificate Course on LinkedIn.

5. CCA 175 - Spark and Hadoop Developer - Python pyspark

This course covers all aspects of the certification using Python as a programming language. It consists of Python Fundamentals, Spark SQL, Data Frames, and File formats.

Course rating: 4.4 out of 5.0 ( 1,049 Ratings total)

In this course, you will understand:

  • the entire curriculum of CCA Spark and Hadoop Developer.
  • Apache Sqoop.
  • HDFS Commands.
  • Python Fundamentals.
  • Core Spark - Transformations and Actions.
  • Spark SQL and Data Frames.
  • Streaming analytics using Kafka, Flume and Spark Streaming.

You can take the CCA 175 - Spark and Hadoop Developer - Python (pyspark) Certificate Course on Udemy.

6. Big Data Analytics with Hadoop and Apache Spark

In this course, you will learn how to leverage these two technologies to build scalable and optimized data analytics pipelines.

The course explores ways to optimize data modeling and storage on HDFS; discusses scalable data ingestion and extraction using Spark; and provides tips for optimizing data processing in Spark. Plus, it also provides a use case project that allows you to practice your new techniques.

Course rating: 3,900 total enrollments

In this course, you will learn how to:

  • leverage Hadoop and Apache Spark technologies to build scalable and optimized data analytics pipelines.
  • optimize data modeling and storage on HDFS.

The course teaches you:

  • HDFS Data Modeling for Analytics
  • Data Ingestion with Spark
  • Data Extraction with Spark
  • Optimizing Spark Processing

You can take Big Data Analytics with Hadoop and Apache Spark Certificate Course on LinkedIn.

7. Hadoop Developer In Real World: Learn Hadoop for Big Data

In this course, you will cover topics like HDFS, MapReduce, YARN, Apache Pig and Hive, etc. and you will also go deep in exploring these concepts. The course also takes it a step further and covers important and complex topics like file formats, custom Writables, input/output formats, troubleshooting, optimizations, etc.

Course rating: 4.6 out of 5.0 ( 1,273 Ratings total)

In this course, you will learn how to:

  • understand what is Big Data, the challenges with Big Data and how Hadoop propose a solution for the Big Data problem
  • work and navigate the Hadoop cluster with ease.
  • install and configure a Hadoop cluster on cloud services like Amazon Web Services (AWS).
  • understand the different 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

You can take Hadoop Developer In Real World: Learn Hadoop for Big Data Certificate Course on Udemy.

8. RHadoop approach to clustering, classification and regression above big data.

This course will give you access to a virtual environment with installations of Hadoop, R, and Rstudio to get hands-on experience with big data management.

In this course, you will learn how to:

  • understand the basics and installation of Hadoop, R, and Rstudio.
  • get hands-on experience with big data management with the help of this software.
  • run statistical learning and R in parallel using map-reduce functions and Hadoop data storage.

Several unique examples from statistical learning and related R code for map-reduce operations will be available for testing and learning. Moreover, you will understand the methods behind and how to run statistical learning and R in parallel using map-reduce functions and Hadoop data storage.

You can take the RHadoop approach to clustering, classification and regression above big data. Certificate Course on Futurelearn.

9. Intro to Hadoop and MapReduce [Free Hadoop Course]

The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. You will learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data.

In this course, you will learn:

  • the basics of Hadoop and MapReduce.
  • the fundamental principles behind it.

You can take Intro to Hadoop and MapReduce Certificate Course on Udacity.


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