Learn from Home Offer

Learn from Home Offer
This Hadoop Certification Training includes 32 courses with 125+ hours of video tutorials and Lifetime access and several mock tests for practice. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of the 32 courses. This Hadoop certification course will help you learn about MapReduce, HDFS, Hive, PIG, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Splunk, Sqoop, Cloudera.
Courses | You get access to all 32 courses, Projects bundle. You do not need to purchase each course separately. |
Hours | 125+ Video Hours |
Core Coverage | MapReduce, HDFS, Hive, Pig, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Splunk, Sqoop, Cloudera and various application-based Projects |
Course Validity | Lifetime Access |
Eligibility | Anyone serious about learning Hadoop and wants to make a career in Data and analytics |
Pre-Requisites | Basic knowledge of data analytics, programming skills, Linux operating system, SQL |
What do you get? | Certificate of Completion for each of the 32 courses, Projects |
Certification Type | Course Completion Certificates |
Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced data analysis skills |
Type of Training | Video Course – Self Paced Learning |
To make things easy for you, here’s a comprehensive Hadoop certification course. You need to invest around 170 hours to complete this all-in-all course. Before we ever talk about the target audience, FAQs, let’s look at the course curriculum in detail –
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Big Data and Hadoop Training | Online Hadoop Course | 2h 9m | ✔ | |
Hadoop Architecture and HDFS | 6h 13m | ✔ | |
MapReduce - Beginners | 3h 34m | ✔ | |
MapReduce - Advanced | 5h 35m | ✔ | |
Hive - Beginners | 2h 47m | ✔ | |
Test - NTA UGC NET Paper 2 History- Mini Quiz | |||
Test - AGILE Project Management |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Hive - Advanced | 5h 11m | ✔ | |
PIG - Beginners | 2h 1m | ✔ | |
PIG - Advanced | 2h 13m | ✔ | |
Test - NTA UGC NET Paper 2 Management- Mini Quiz | |||
Test - Practice AGILE - Beginner to Advanced |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
NoSQL Fundamentals | 2h 01m | ✔ | |
Mahout | 3h 51m | ✔ | |
Apache Oozie | 2h 13m | ✔ | |
Apache Storm | 2h 4m | ✔ | |
Apache Spark - Beginners | 1h 5m | ✔ | |
Apache Spark - Advanced | 6h 14m | ✔ | |
Splunk Fundamentals | 8h 33m | ✔ | |
Splunk Advanced 01 - Knowledge Objects | 9h 29m | ✔ | |
Splunk Advanced 02 - Administration | 39h | ✔ | |
Test - NTA UGC NET Paper 2 Political Science- Mini Quiz | |||
Test - Practice Exam - Social Media Marketing |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Project on Hadoop - Sales Data Analysis | 47m | ✔ | |
Project on Hadoop - Tourism Survey Analysis | 53m | ✔ | |
Project on Hadoop - Faculty Data Management | 35m | ✔ | |
Project on Hadoop - E-Commerce Sales Analysis | 35m | ✔ | |
Project on Hadoop - Salary Analysis | 49m | ✔ | |
Project on Hadoop - Health Survey Analysis using HDFS | 56m | ✔ | |
Project on Hadoop - Traffic Violation Analysis | 1h 25m | ✔ | |
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce | 2h 33m | ✔ | |
Project on Hadoop - Case Study on Telecom Industry using HIVE | 2h 2m | ✔ | |
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce | 53m | ✔ | |
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop | 3h 34m | ✔ | |
Project on Hadoop - Sensor Data Analysis using HIVE/PIG | 5h 26m | ✔ | |
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce | 3h 02m | ✔ | |
Hadoop and HDFS Fundamentals on Cloudera | 1h 22m | ✔ | |
Project on Hadoop - Log Data Analysis | 1h 32m | ✔ | |
Test - ICSE Class 10 - English Exam | |||
Test - Professional US GAAP Exam - Mock Series |
This Training is solely focused on Apache Hadoop open-source software which plays an important component in Big Data Analytics and its storage. It is designed to make the readers a well certified Big Data practitioner by providing rich hands-on experience and training on Hadoop.
The Objective of the training revolves around the various topics which are part of Hadoop technology and help make a user well profiled in Big Data. The main highlighted topics are Hadoop, Big Data, NoSQL, HIVE, PIG, HDFS, Mahout, MapReduce, Oozie, Avro, Storm, Spark, Flume, Splunk, Cloudera, Sqoop, Traffic Analysis, Data Analysis, Loan Analysis, Data Management, Sales Analysis, Survey Analysis, salary Analysis, Sensor Data Analysis, YouTube Data Analysis, Log Data Analysis, etc. Going through these topics we help easily grasp all the deep earnings within Hadoop and Big Data.
This Hadoop and Big Data Training will help you become a proficient Big Data Expert. It will hone your skills by providing all the necessary topics needed to develop your full grasp over Hadoop Technology and empower it. Some of these courses are discussed below:
To improve the efficiency of the training it includes real-world scenario-based projects which will make use of the knowledge learned in the course sections of the training and can be implemented so that the readers may feel more confident about the technology due to hands-on training and this will also make them future project ready within the various business.
Hadoop is an open-source, big data processing engine. This works in a distributed environment with the help of multiple computers (which offers local computation and storage) in a cluster to process the data.
Hadoop is a scalable solution, wherein servers can be added or removed from the cluster dynamically. Hadoop continues to operate without interruption.
As Hadoop is Java-based, its compatible with all the platforms. And that’s the reason behind Java as the main prerequisite for Hadoop. Hadoop is made up of two layers
Today top-notch companies are relying on the Hadoop environment because of the exponential growth of data. And hence they are in dire need of good Hadoop developers which can support and build highly reliable applications (processing gigs and terabytes of data).
Knowing Hadoop in and out, will make you capable of tweaking its parameters, writing new scripts, understanding Hadoop behavior. Ultimately, this all will make you run Hadoop efficiently at a low cost. How to scale Hadoop with more nodes, how to increase/decrease the replication factor of Hadoop etc. are the queries which will be handled well after grabbing the skills from this Hadoop training certification course.
This will also focus on skills of deploying Hadoop for block processing, batch processing, real-time processing from various kinds of data like audio, video, log and machine-generated data.
You will get the skills of processing unstructured data as well, which will a great add-on, because processing unstructured data has always been on the difficult note than structured data.
This course is ideal for candidates who aspire to make their careers in data analytics and for the professional who wants to enhance their technical skills in the analytic domain or big data domain. This course will give you the confidence to deal with any analytical and big data problem with a smooth go. From setting up the Hadoop environment to processing gigs of data parallelly, with efficient use of nodes, this will give you the entire picture over it.
The answer is partial Yes and No. Without the basic knowledge of Analytics, it gets difficult to understand the worth of doing processing in Hadoop. If you don’t have basic knowledge, you surely understand the framework architecture and working principles. However, relating it to analytics might not be that easy. Get your basics right and you are more than welcome to do this course.
No Doubt about that. Learn from this course, get your hands dirty with your rigorous practice, and this will create golden opportunities for you. You will find yourself attracted to this field and even excel in this field as well.
You can enroll in this Hadoop Training Course through our website. You can make an online payment using the following options (anyone):
Once the online payment is done, you should automatically receive a payment receipt. And with that you should receive access information, via email. For any more help, you can reach out to our Learning consultant.
All clear!
In short you can understand which tool to use for which job.
For example, if you are comfortable with Java you would easily get along with MapReduce which delegates the task, performs them and understands unstructured and structured data, run on most of the languages, the more high level is Pig and runs on its own Pig Latin language.
For Data Analysis without Data Processing you can take Hive on board, also it’s much like SQL.
Linked
The first part of the course is very useful. It explains in a good way how traditional applications process data and what is their limit. HDFS – Hadoop distributed file system is the main focus of the course. Unlike vertically oriented systems, it supports horizontal systems where files are being shared between servers. Map Reduce functionality is also explained and the main part of the course is focused on Cloudera which is one of the Hadoop distributions built on top of the Apache Hadoop as the layer of abstraction.
Linked
The course is comprehensive and gives a very splendid introduction of all that is out there. It is recommended for those who have absolutely no idea at all of the Hadoop ecosystems. It only gives a small flavor of all the different components and it is up to the listener to branch out and do the in-depth study.
Linked
This introduction to Hadoop is very well structured and easy to understand.
It contains lots of content as structure, reading and writing algorithm and first steps in programming some small Programm which reads and counts out words in sentences to make the Hadoop function visible. Thanks.
Linked
Excellent, even though at the beginning it is not the easiest accent to understand, once one gets familiarized everything is smooth. This course inspired me to study more about programming and languages. I am just beginning so I think I will come back to it again anytime I need help analyzing YouTube videos.
Linked
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Courses | No. of Hours | |
---|---|---|
Big Data and Hadoop Training | Online Hadoop Course | 2h 9m | |
Hadoop Architecture and HDFS | 6h 13m | |
MapReduce - Beginners | 3h 34m | |
MapReduce - Advanced | 5h 35m | |
Hive - Beginners | 2h 47m | |
Hive - Advanced | 5h 11m | |
PIG - Beginners | 2h 1m | |
PIG - Advanced | 2h 13m | |
NoSQL Fundamentals | 2h 01m | |
Mahout | 3h 51m | |
Apache Oozie | 2h 13m | |
Apache Storm | 2h 4m | |
Apache Spark - Beginners | 1h 5m | |
Apache Spark - Advanced | 6h 14m | |
Splunk Fundamentals | 8h 33m | |
Splunk Advanced 01 - Knowledge Objects | 9h 29m | |
Splunk Advanced 02 - Administration | 39h | |
Project on Hadoop - Sales Data Analysis | 0h 8m | |
Project on Hadoop - Tourism Survey Analysis | 0h 9m | |
Project on Hadoop - Faculty Data Management | 0h 58m | |
Project on Hadoop - E-Commerce Sales Analysis | 0h 59m | |
Project on Hadoop - Salary Analysis | 1h 22m | |
Project on Hadoop - Health Survey Analysis using HDFS | 1h 34m | |
Project on Hadoop - Traffic Violation Analysis | 1h 25m | |
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce | 2h 33m | |
Project on Hadoop - Case Study on Telecom Industry using HIVE | 2h 2m | |
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce | 1h 29m | |
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop | 3h 34m | |
Project on Hadoop - Sensor Data Analysis using HIVE/PIG | 5h 26m | |
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce | 3h 02m | |
Hadoop and HDFS Fundamentals on Cloudera | 1h 22m | |
Project on Hadoop - Log Data Analysis | 1h 32m |
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