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Published on December 9, 2016 by Edureka
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Check our Hadoop Ecosystem blog here: goo.gl/iTMEFv
Check our complete Hadoop playlist here: goo.gl/ExJdZs
This Edureka Hadoop Ecosystem Tutorial will help you understand about a set of tools and services which together form a Hadoop Ecosystem. Below are the topics covered in this Hadoop Ecosystem Tutorial:

Hadoop Ecosystem:
1. HDFS – Hadoop Distributed File System
2. YARN – Yet Another Resource Negotiator
3. MapReduce – Data processing using programming
4. Spark – In-memory Data Processing
5. Pig, Hive – Data Processing Services using Query
6. HBase – NoSQL Database
7. Mahout, Spark MLlib – Machine Learning
8. Apache Drill – SQL on Hadoop
9. Zookeeper – Managing Cluster
10. Oozie – Job Scheduling
11. Flume, Sqoop – Data Ingesting Services
12. Solr & Lucene – Searching & Indexing
13. Ambari – Provision, Monitor and Maintain cluster

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#HadoopEcosystem #BigDataEcosystem #HadoopTools #BigDataAnalyticsTools

How it Works?

1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:

1. Master the concepts of HDFS and MapReduce framework
2. Understand Hadoop 2.x Architecture
3. Setup Hadoop Cluster and write Complex MapReduce programs
4. Learn data loading techniques using Sqoop and Flume
5. Perform data analytics using Pig, Hive and YARN
6. Implement HBase and MapReduce integration
7. Implement Advanced Usage and Indexing
8. Schedule jobs using Oozie
9. Implement best practices for Hadoop development
10. Work on a real life Project on Big Data Analytics
11. Understand Spark and its Ecosystem
12. Learn how to work in RDD in Spark

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Who should go for this course?

If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:
1. Analytics professionals
2. BI /ETL/DW professionals
3. Project managers
4. Testing professionals
5. Mainframe professionals
6. Software developers and architects
7. Recent graduates passionate about building successful career in Big Data

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Why Learn Hadoop?

Big Data! A Worldwide Problem?

According to Wikipedia, “Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.” In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!

The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is – Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.

Please write back to us at sales@edureka.co or call us at +91 88808 62004 for more information.

Website: www.edureka.co/big-data-and-hadoop
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Twitter: twitter.com/edurekain
LinkedIn: www.linkedin.com/company/edureka

Customer Review:

Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! Edureka lets you go back later, when your boss says “I want this ASAP!” ~ This is the killer education app… I’ve take two courses, and I’m taking two more.”

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9 Comments on "Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka"

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V K
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V K
9 months 19 days ago

Hello:) Great tutorials! I am going to start doing my Bachelor's thesis (Storing & Analyzing web data with Hadoop). I have a question. Can you explain me a little bit more what's the difference between HBASE and HDFS? Moreover, in HBASE can we store data like videos, images etc? Thank you! I hope you will answer 🙂

edureka!
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edureka!
9 months 13 days ago

We're glad we could help. 🙂 Do follow our channel to stay posted on upcoming tutorials. Cheers!

V K
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V K
9 months 14 days ago

Thank you very much for your answer!!! It's clear now. I will watch all the Hadoop tutorials you've made, they help me a lot! Cheers 🙂

edureka!
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edureka!
9 months 14 days ago
+Vi Kei, thanks for checking out our tutorial! Here's the explanation as requested:Hadoop is basically 2 things, a HDFS (Hadoop Distributed File System) and a computation framework (MapReduce). HDFS allows you store huge amounts of data in a distributed (provides faster read/write access) and redundant (provides better availability) manner. And MapReduce allows you to process this huge data in a distributed and parallel manner. But MapReduce is not limited to just HDFS. Being a FS, HDFS lacks the random read/write capability. It is good for sequential data access. And this is where HBase comes into picture. It is a NoSQL… Read more »
ravi shankar
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ravi shankar
10 months 9 days ago

i know sql for only some level and have watched the last two videos in this playlist tutorial and understand your teaching and by continuing and completing this playlist will i be able to work on hadoop like entering datat and code for executing the data?

edureka!
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edureka!
10 months 8 days ago

Hey Ravi Shankar, thanks for checking out our tutorial! While our tutorials will provide you with a good understanding of the Hadoop Ecosystem, you would be missing out on the deep dive. Also, since these are recorded videos, you would not be able to ask questions to the instructor or clarify your doubts. A large part of the learning will be the hands-on and live project training that our course provides. You can check out the curriculum and details here: www.edureka.co/big-data-and-hadoop. Hope this helps. Cheers!

varun kaushik
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varun kaushik
10 months 16 days ago

HelloIs there any prerequisite for starting BIG data and also for job??and as a fresher from where a person can start??

varun kaushik
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varun kaushik
10 months 15 days ago

thank you…:)

edureka!
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edureka!
10 months 15 days ago

Hey Varun, thanks for checking out our tutorial! There are no pre-requisites as such for learning Hadoop. Knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. In fact, we offer you a complimentary self-paced course on Java essentials for Hadoop when you enroll for the course. Some industry experience does come in handy while hunting for Hadoop jobs. Hope this helps. Cheers!

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