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10 Online Courses to Elevate your Hadoop Skills

In this article, you can find Hadoop online courses to elevate your skills.

Apache Hadoop is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Hadoop was originally designed for computer clusters built from commodity hardware, which is still the common use. It has since also found use on clusters of higher-end hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework.

The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel. This approach takes advantage of data locality, where nodes manipulate the data they have access to. This allows the dataset to be processed faster and more efficiently than it would be in a more conventional supercomputer architecture that relies on a parallel file system where computation and data are distributed via high-speed networking.

Below we prepare a list for you with Hadoop online courses in order to expand your knowledge.

Linux Basics for Hadoop Administrators
Sijeesh Kunnotharamal via Udemy
Welcome to this course on Linux Basics , my name is Sijeesh I will be your instructor for this course. The reason why I publish this course is most of the Hadoop Administrators were asking me to teach Linux Basics .As a Hadoop Administrator you should know certain amount of Linux to manage your day to day tasks.You need not to study complete Linux administration skill set , I have added only some subset of Linux Administration topics that are needed for a hadoop administrator . If you are interested , I request you to go ahead and learn complete Linux administration as it makes your life much more easier.
★★★★★(5-star rating)

Hadoop Developer In Real World
Hadoop In Real World via Udemy
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 aspiring Hadoop developer must know to SURVIVE in REAL WORLD Hadoop environments. The course covers all the must know topics like HDFS, MapReduce, YARN, Apache Pig and Hive etc. and we go deep in exploring the concepts. We just don t stop with the easy concepts, we take it a step further and cover important and complex topics like file formats, custom Writables, input/output formats, troubleshooting, optimizations etc. All concepts are backed by interesting hands–on projects like analyzing million song dataset to find less familiar artists with hot songs, ranking pages with page dumps from wikipedia, simulating mutual friends functionality in Facebook just to name a few.
★★★★★(5-star rating)

Big Data and Hadoop : Interactive Intense Course
Saheb Singh Chaddha via Udemy
This is an interactive lecture of one of my Big data and Hadoop class where everything is covered from the scratch and also you will see students asking doubts so you can clear those concepts here as well. Students will be Able to crack Cloudera CCA 175 Certification after successful completion and with little practice. Tools covered:1.Sqoop,2.Flume,3.MapReduce,4.Hive,5. Impala,6.Beeline,7.Apache Pig,8.HBase,9.OOZIE,10.Project on a real data set.
★★★★(4-star rating)

Learn By Example: Hadoop, MapReduce for Big Data problems
Loony Corn via Udemy
This course is a zoom–in, zoom–out, hands–on workout involving Hadoop, MapReduce and the art of thinking parallel. Let s parse that. Zoom–in, Zoom–Out: This course is both broad and deep. It covers the individual components of Hadoop in great detail, and also gives you a higher level picture of how they interact with each other. Hands–on workout involving Hadoop, MapReduce : This course will get you hands–on with Hadoop very early on. You’ll learn how to set up your own cluster using both VMs and the Cloud. All the major features of MapReduce are covered – including advanced topics like Total Sort and Secondary Sort. The art of thinking parallel: MapReduce completely changed the way people thought about processing Big Data. Breaking down any problem into parallelizable units is an art. The examples in this course will train you to hink parallel.
★★★★(4-star rating)

Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool
J Garg via Udemy
Make yourself prepared to work on Real time Big data and Hive projects by learning Advance Hive from this course. Enroll into this course and get end to end knowledge of Basic + ADVANCE Hive + Interview asked Use cases. This course is very rare of its kind and includes even very thin details of Hive which are not available anywhere online. In this course you will get to understand a step by step learning of very Basic Hive to Advance Hive (which is actually used in Real–time projects) like: 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 and many more…… This course is a full package explaining even rarely used commands and concepts in Hive. After completing this course you won’t find any topic left in Hive. This course is made keeping in mind the Real Implementation of Hive in Live Projects.
★★★★(4-star rating)

Learn Big Data: The Hadoop Ecosystem Masterclass
Edward Viaene via Udemy
In this course you will learn Big Data using the Hadoop Ecosystem. Why Hadoop? It is one of the most sought after skills in the IT industry. The average salary in the US is $112,000 per year, up to an average of $160,000 in San Fransisco (source: Indeed). The course is aimed at Software Engineers, Database Administrators, and System Administrators that want to learn about Big Data. Other IT professionals can also take this course, but might have to do some extra research to understand some of the concepts. You will learn how to use the most popular software in the Big Data industry at moment, using batch processing as well as realtime processing. This course will give you enough background to be able to talk about real problems and solutions with experts in the industry. Updating your LinkedIn profile with these technologies will make recruiters want you to get interviews at the most prestigious companies in the world.
★★★★(4-star rating)

Hadoop MAPREDUCE in Depth | A Real-Time course on Mapreduce
J Garg – Hadoop Real Time Learning via Udemy
Mapreduce framework is closest to Hadoop in terms of processing Big data. It is considered as atomic processing unit in Hadoop and that is why it is never going to be obsolete. Knowing only basics of MapReduce (Mapper, Reducer etc) is not at all sufficient to work in any Real–time Hadoop Mapreduce project of companies. These basics are just tip of the iceberg in Mapreduce programming. Real–time Mapreduce is way more than that. In Live Big data projects we have to override lot many default implementations of Mapreduce framework to make them work according to our requirements. This course is an answer to the question What concepts of Hadoop Mapreduce are used in Live Big data projects and How to implement them in a program ? To answer this, every Mapreduce concept in the course is explained practically via a Mapreduce program.
★★★★(4-star rating)

Hadoop 3 Big Data Processing Hands On [Intermediate Level]
Up Degree via Udemy
If you are a Big Data Enthusistic then you must know about Hadoop. In this course, we will discuss every corner of Hadoop 3.0. This course is not for beginners. In this course you will learn :Introduction to Big Data, Introduction to Hadoop, Introduction to Apache Hadoop 1x – Part 1,Why we need Apache Hadoop 3.0?,The motivation of Hadoop 3.0,Features of Hadoop 3.0,Other Improvements on Hadoop 3.0
Pre–requistics of Lab,Setting up a Virtual Machine,Linux fundamentals – Part 1,Linux Users and File Permissions,Packages Installation for Hadoop 3x,Networking and SSH connection,Setup the environment for Hadoop 3x,Inside Hadoop 3x directory structure,EC Architecture Extensions,Setting up Hadoop 3x Cluster,Cloning Machines and Changing IP and much more.
★★★★(4-star rating)

Processing Big Data with Hadoop in Azure HDInsight (Free)
Graeme Malcolm via Udemy
More and more organizations are taking on the challenge of analyzing big data. This course teaches you how to use the Hadoop technologies in Microsoft Azure HDInsight to build batch processing solutions that cleanse and reshape data for analysis. In this five–week course, you’ll learn how to use technologies like Hive, Pig, Oozie, and Sqoop with Hadoop in HDInsight; and how to work with HDInsight clusters from Windows, Linux, and Mac OSX client computers. NOTE: To complete the hands–on elements in this course, you will require an Azure subscription and a Windows, Linux, or Mac OS X client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands–on practices.
★★★★(4-star rating)

Hadoop Platform and Application Framework
Natasha Balac, Ph.D. via Udemy
This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands–on examples with Hadoop and Spark frameworks, two of the most common in the industry. 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’ll feel empowered to have conversations about big data and the data analysis process. UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn’t just acquired in the classroom—life is their laboratory.
★★★★(4-star rating)

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