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Best Hadoop Courses 2024

Best Hadoop Courses 2023

Best Hadoop tutorials 2023

Big Data Hadoop Certification Training

Edureka’s extensive Big Data Analytics certification is curated by Hadoop experts and covers in-depth knowledge of Big Data tools and the Hadoop ecosystem such as HDFS, YARN, MapReduce, Hive and Pig. Throughout this instructor-led Big Data Hadoop certification training, you will work on real-world industry use cases in retail, social media, aviation, tourism, and industry. finance using Edureka’s Cloud Lab. Register now to learn Big Data with instructors with over 10 years of experience, with hands-on demonstrations.

Hadoop is an Apache project (i.e. open source software) for storing and processing Big Data application. Hadoop stores big data in a distributed and fault-tolerant manner on basic hardware. Next, Hadoop tools are used to perform parallel data processing on HDFS (Hadoop Distributed File System). As organizations realize the benefits of Big Data Analytics, there is a huge demand for Big Data and Hadoop professionals. Companies are looking for Big Data and Hadoop experts with knowledge of the Hadoop ecosystem and best practices in HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop & Flume. Edureka Hadoop training is designed to make you a certified Big Data practitioner by providing you with rich hands-on training on the Hadoop ecosystem. This Hadoop Developer Certification training is a stepping stone to your Big Data journey and you will have the opportunity to work on various Big Data projects.

Big Data Hadoop certification training is designed by industry experts to make you a certified Big Data practitioner. The Big Data Hadoop course offers:
In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) and MapReduce programming
In-depth knowledge of various tools belonging to the Hadoop ecosystem such as Apache Pig, Hive, Sqoop, Flume, Oozie and HBase
The ability to ingest data into HDFS using Sqoop & Flume, and analyze those large datasets stored in HDFS
Exposure to many real-world industry-based projects that will be executed in Edureka’s CloudLab
Projects of a diverse nature covering diverse datasets from multiple fields such as banking, telecommunications, social media, insurance and e-commerce
Rigorous involvement of a Hadoop expert throughout Big Data Hadoop training to learn industry standards and best practices

This is the best Hadoop Certification Training Course in 2023.

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

The world of Hadoop and “Big Data” can be daunting – hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop tutorial, you will not only understand what these systems are and how they fit together, but you will also learn how to use them to solve real business problems! You will:

You will learn

Design distributed systems that manage “big data” using Hadoop and related technologies.
Use HDFS and MapReduce to store and analyze data at scale.
Use Pig and Spark to create scripts to process data on a Hadoop cluster in a more complex way.
Analyze relational data using Hive and MySQL
Analyze non-relational data using HBase, Cassandra, and MongoDB
Interactively query data with Drill, Phoenix and Presto
Choose the right 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 with Spark Streaming, Flink and Storm

Learn Big Data: The Hadoop Ecosystem Masterclass

The course is intended for software engineers, database administrators, and system administrators who want to learn more about Big Data. Other IT professionals may also take this course, but may need to do additional research to understand some of the concepts. You will learn how to use the most popular software in the big data industry today, using batch processing as well as real-time processing. This course will give you enough knowledge to be able to talk about real problems and solutions with industry experts. Updating your LinkedIn profile with these technologies will make recruiters want you to get interviews at the most prestigious companies in the world.

You will learn:

Process Big Data using the batch
Process big data using real-time data
Familiarize yourself with the technologies of the Hadoop stack
Be able to install and configure the Hortonworks Data Platform (HDP)

Taming Big Data with MapReduce and Hadoop – Hands On!

Analyzing “big data” is a sought-after and very valuable skill – and this course will quickly teach you two fundamental technologies of big data: MapReduce and Hadoop. Have you ever wondered how Google manages to constantly crawl the entire Internet? You will learn these same techniques, using your own Windows system at home.

Learn and master the art of framing data analysis problems as MapReduce problems through more than 10 practical examples, then scale them to run on cloud computing services in this course. You will:

Understand how MapReduce can be used to analyze sets of big data
Write your own MapReduce jobs using Python and MRJob
Run MapReduce Jobs on Hadoop Clusters Using Amazon Elastic MapReduce
Chain map: reduce tasks together to analyze more complex problems
Analyze social media data with MapReduce
Analyze movie rating data using MapReduce and generate movie recommendations with it.
Understand other Hadoop based technologies including Hive, Pig, and Spark
Understand what Hadoop is for and how it works

Big Data and Hadoop for Beginners – with Hands-on!

The main objective of this course is to help you understand the complex architectures of Hadoop and its components, to guide you in the right direction to get started, and to quickly start working with Hadoop and its components.

It covers everything you need as a big data newbie. Discover the Big Data market, the different professional roles, technological trends, the history of Hadoop, HDFS, Hadoop Ecosystem, Hive and Pig. In this course, we will see how, as a Hadoop beginner, you should start with Hadoop. This course is accompanied by many practical examples that will help you learn Hadoop quickly.

The course consists of 6 sections and focuses on the following topics:

Big Data at a Glance: Discover Big Data and the different professional roles required in the Big Data market. Learn about Big Data salary trends around the world. Discover the hottest technologies and their trends in the market.

Getting started with Hadoop: Understand Hadoop and its complex architecture. Learn the Hadoop ecosystem with simple examples. Know different versions of Hadoop (Hadoop 1.x vs Hadoop 2.x), different Hadoop vendors on the market and Hadoop on Cloud. Understand how Hadoop framework uses the ELT approach. Learn how to install Hadoop on your machine. We will see running HDFS commands from the command line to manage HDFS.

Getting started with Hive: Understand what kind of problem Hive solves in big data. Learn about its architectural design and how it works. Know the data models in Hive, different file formats supported by Hive, Hive queries, etc. We will see some queries running in Hive.

Getting started with Pig: Find out how Pig solves big data challenges. Learn about its architectural design and how it works. Understand how Pig Latin works in Pig. You will understand the differences between SQL and Pig Latin. Demos on running various queries in Pig.

Use case: Real Hadoop applications are really important to better understand Hadoop and its components, so let’s learn by designing an example data pipeline in Hadoop to process big data. Also understand how companies are adopting a modern data architecture, namely Data Lake, in their data infrastructure.

Practice: Train with huge data sets. Learn design and optimization techniques by designing data models, data pipelines using real application datasets.

You will learn
Understand the different technological trends, salary trends, the Big Data market and the different professional roles in Big Data
Understand what Hadoop is for and how it works
Understand the complex architectures of Hadoop and its components
Installing Hadoop on your machine
Understand how MapReduce, Hive, and Pig can be used to analyze large data sets
High quality documents
Demos: HDFS Command Execution, Hive Queries, Pig Queries
Sample Datasets and Scripts (HDFS Commands, Sample Hive Queries, Sample Pig Queries, Sample Data Pipeline Queries)
Start writing your own code in Hive and Pig to process huge volumes of data
Design your own data pipeline using Pig and Hive
Understand Modern Data Architecture: Data Lake
Practice with big data sets

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