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HADOOP Course Bundle - 32 Courses in 1 | 4 Mock Tests
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.
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What you get in this HADOOP Course Bundle - 32 Courses in 1 | 4 Mock Tests?
125+ Hours
32 Courses
Mock Tests
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies
About HADOOP Course Bundle
| 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 |
HADOOP Course Bundle Curriculum
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 –
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MODULE 1: Essentials Training
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 -
MODULE 2: Apache PIG and HIVE
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 -
MODULE 3: NoSQL| MongoDB| OOZIE| STORM| SPARK| SPLUNK
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 -
MODULE 4: Advanced Projects based Learning
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
Goals
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.
Objectives
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.
Course Highlights
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:
- The first section kick starts you with Big Data and Hadoop Introduction, its usage, and benefits in the real-world scenario. Further we’ll discuss the Hadoop Architecture and HDFS (Hadoop Distributed File System) wherein we’ll go through the backdrops of legacy systems and HDFS benefits over it and also learn about the Map Reduce and its configuration. Further on we’ll go through concepts such as secondary sorting in Hadoop and Joins and also, we will discuss the Map/Reduce method for join in Hadoop (all basic and advanced concepts). At last the section will be finished at Hive learnings and its concepts.
- In the second section, we’ll learn all the advanced concepts in Hive including sorting, joins, bucketing, ranks, purge, SCD, etc. Next up we’ll discuss the basic and advanced concepts of PIG such as operators used, functions, commands, PIG vs HIVE, etc.
- In the third section, we’ll start with NoSQL introductions, its difference from a relational database, database design paradigms in NoSQL, etc. Further on we’ll learn Mahout and its usage in Hadoop including concepts such as its architecture, subversion, Bayes classifier, canopy clustering, etc. Further on we’ll learn Apache oozie, Apache storm, Apache flume, Apache Avro, Apache Spark wherein we’ll discuss their architecture, data flows, features and their usages with Hadoop and also we’ll discuss all the beginner and advanced level concepts in Apache Spark such as its components and usage of Scala with it along with it. At last we’ll also go through Splunk wherein we’ll discuss its fundamentals, Knowledge objects, Tags, Alerts, Macros, and Administration with concepts such as authentication, index, index buckets, etc.
Project Highlights
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.
- The first project introduced is Sales Data analysis using Hadoop – HDFS. Here we’ll dig deep into the problem statement such as fetching customer name with highest sales, fetching a total number of large deal sizes, etc. And result in a suitable project which fulfills our objective. Next up we’ll create a project Tourism survey Analysis, wherein we’ll use the concepts of HDFS to fulfill the problem statement and predict a countries tourism count and various other statistics using Hadoop. Next up we’ll make a project named Faculty Data Management which will also use the concepts of HDFS wherein the project goal is to provide relevant lectures faculty details on a portal.
- Further we’ll make a project named Ecommerce Sales Analysis which will make use of Hadoop and HDFS architecture for its making. Here the goal of the project is to get a report on the sales figure of a customer on an Ecommerce website for various conditions. Next up we’ll make a project called Salary Analysis where we’ll use Hadoop to make a detailed report on salary attribute fulfilling each of the user’s queries regarding salaries such as salary for a quarter, etc. Next up we’ll make a project named Health Survey Analysis which will use HDFS architecture for its making.
- Further, we’ll make the project on Traffic Violation Analysis using HDFS, Analyzing Loan Dataset using PIG/MapReduce, Hive-Case study on Telecom Industry, Customer Complaints using HIVE/MapReduce, Social Media Analysis using HIVE/PIG/MapReduce/Sqoop, Sensor Data Analysis using HIVE/PIG, YouTube Data Analysis using PIG/MapReduce, etc.
Hadoop Certification of Completion
What is Hadoop?
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
- MapReduce: It’s a parallel computing model that processes a large volume of data. It can efficiently and easily process multi-terabytes of data.
- HDFS: HDFS is highly fault-tolerant, a distributed file system designed to run on commodity hardware. It has a master-slave architecture. One HDFS cluster consists of one name node and rests the other as a data node. The name node is responsible to manage the file system namespace & provides access to file to clients. Whereas Data nodes serve read and write requests from the file system’s clients. Along with that, they also perform block creation, deletion, and replication upon instruction from the Name Node.
Industry Growth Trend
The hadoop big data analytics market is projected to grow from USD 6.71 Billion in 2016 to USD 40.69 Billion by 2021, at a CAGR of 43.4% between 2016 and 2021.[Source - MarketsandMarkets]
What skills will I learn from this Hadoop Training Course?
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.
Pre-requisites to Hadoop Training Certification Course
- Willingness to pursue a career and Basic knowledge in Analytics: Every individual who wants to pursue a career in Analytics domain, Big Data and MapReduce should make themselves capable enough to understand the need of these all. They should have eager to persistently practice and brush up the knowledge in analytics. If you are committed to an analytics career, this course will boost your skills and will make you an asset to your organization. Skill and passion together give perfection to your work.
- Basic knowledge of Java: Learning Hadoop means learning HDFS & MapReduce. All programs or scripts written in MapReduce are in the form of Map & reduce tasks. This task gets easier to write when you have a background in Java with you. The request will be to brush up Java basics first and then take this course.
Target Audience for this Hadoop Certification Course
- Students of Analytics: If you’re a student of Analytics and want a career in the analytics domain. This Hadoop certification will make you build the gap between your college curriculum and industry related to Hadoop by giving you practical and live experiences of Hadoop projects.
- Influenced Professional: If you are among the professional who is awed by the frequently used words like big data and Hadoop. You should satiate your learning bud by taking this Hadoop certification. Basic level of technical knowledge can prove to be beneficial, in the long run of your successful career by strengthening your prospectus.
- Analytics Professionals: If you are already into analytics and want to take your career path to the next level, this Hadoop certification is definitely for you. Deep concept and working commands will help you go deeper and challenge yourself. Now a day, many analytical designations are newly opening in the corporate world, which demands well to do knowledge of big data & MapReduce things. So that technical decisions are better made.
Hadoop Training Course FAQ’s
Why should I do this Hadoop certification course?
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.
I don’t have a background in Analytics, can I do this Hadoop certification?
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.
Would this Hadoop training certification help me in my career advancement?
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.
How do I enroll for this Hadoop certification course?
You can enroll in this Hadoop Training Course through our website. You can make an online payment using the following options (anyone):
- Visa debit/credit card
- Master Card
- PayPal
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.
Sample Preview of this Hadoop Training Course
Career Benefits of this Training on Hadoop
- It an obvious and not denying the fact, that Hadoop (that is HDFS) is the most reliable storage layer and the base for using any big data processing tool. It enables applications to work on multiple nodes, dealing with petabytes of data. Looking at today’s as well as forecasted big data market, knowing Hadoop can be proved a great advantage. As all components like Pig, Hive, Scoop, Mahout uses Hadoop as its base. Knowing Java and Map-reduce coding will make you boost your career in the big data domain.
- Taking this Hadoop training course will surely give you the confidence you stand out in the crowd.
As almost organizations tend towards getting more diversified, HDFS is a great fit when it comes to storing data irrespective of data types. As data is considered the new Gold, there will always be the necessity of fast big data processing.
Hadoop Training Course Testimonials
Review Analysis in Hadoop Training
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
Julie Pasichnyk
Hadoop Training and HDFS Basics on Cloudera
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
Denis Alibašić
Great course
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
ISMAIL SANNI
very good introduction
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
Dominik Denny
Youtube Data Analysis using Hadoop
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
Monica Rodriguez Espitia
