Hadoop Certification Training
34 Online Courses
Big Data and Hadoop Training2h 05m
Hadoop Architecture and HDFS6h 24m
MapReduce Fundamentals3h 39m
MapReduce Advanced5h 01m
HIVE Fundamentals2h 53m
Hive Advanced5h 02m
PIG Fundamentals2h 15m
PIG Advanced2h 14m
Skills you will master
- Big Data
- Data Analysis
- Survey Analysis
- Data Management
- Sales Analysis
Online Hadoop Certification Course
This Hadoop Certification Training includes 34 comprehensive Hadoop courses with 125+ hours of video tutorials and Lifetime Access. It is an amazing collection of practical and hands-on learning of the most updated training programs and projects in the area of Big data and Hadoop. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of the 34 courses. This Hadoop certification will help you learn about MapReduce, HDFS, Hive, PIG, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Splunk, Sqoop, Cloudera. Also, we shall cover various projects such as Data Analysis, Survey Analysis, Data Management, Sales Analysis, Salary Analysis, Traffic Analysis, Loan Analysis, Log Data Analysis, YouTube Data Analysis, Sensor Data Analysis using Hadoop.
Hadoop is the leading big data platform to understand and analyze the big data.
Understanding the core of Hadoop, writing scripts and analyzing the datasets through Hadoop technologies around that such as Pig, Hive, will bring a lot of value in Market for you.
From understanding the architecture of HDFS to learning Hive commands for analyzing datasets, you need to know it all. All these skills will be a great add add-on you. The tech market is in real need for quality Hadoop programmers.
Hadoop is a must-have skill for data career. Lets have a look at how you could excel here.
- About Hadoop Certification Training Course
- Hadoop Course Curriculum
- Certificate of Completion
- Pre-requisites to this Course on Hadoop
- Sample Preview of this course on Hadoop
- Target Audience for this Hadoop certification on Hadoop
- Online Hadoop Training FAQs – General Questions
- Career Benefits of this Hadoop Training
- Online Hadoop Course Review/Testimonials
About Hadoop Certification Training Course
|Course Name||Online Hadoop Certification Training Bundle|
|Deal||You get access to all 34 courses 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 who is 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 34 courses|
|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|
|Software Required||Ubuntu, Java, Open Source- Hadoop|
|System Requirement||64-512 GB RAM|
|Other Requirement||Speaker / Headphone|
Hadoop Course Curriculum
|Serial No.||Course Name||Course Description|
|1||Hadoop Beginner Training||This Hadoop certification will help you understand the basic of Hadoop. It will first focus on how it can be used as storage and then how it can be used as a processing framework for big data. This course will also enlighten you about big data & distributed processing, which will make you capable of understanding the business need as well.|
|2||Apache Pig Training||In this Hadoop certification, we will talk about Pig which is a tool for analyzing the big data. Pig is used with Hadoop for all kind of data munging and preprocessing. Here you get familiar with the pig language that is Pig-Latin. Numerous operators, writing own functions are few things, which will be part of this module.|
|3||Machine Learning with Mahout Training||This module will focus on Mahout, Machine Learning and Machine Learning can be used on top of Mahout to build intelligent and quick learning apps. There are three approaches which will be discussed here: Collaborative filters, Categories, Clusters|
|4||Apache Storm-Training||This Hadoop certification will take you through Apache Storm, which is real-time distributed framework for Big Data. Basic knowledge of data preprocessing and Java will help you understand this course better. A deeper dive into the architecture of Storm will also taught.|
|5||Comprehensive MapReduce Training||This module will take you the nitty-gritty concept of Hadoop working principle that is Map-reduce. It will explain you the functionality of joins and combiners. This will make programmer code efficiently and reduce the network congestion.|
|6||MongoDB the NoSQL database for cloud and desktop computing||In this Hadoop certification, you will learn about NoSQL database particularly about MongoDB. This module will help you understand, the business need of schema-less database as compared to a relational database. Along with this how MongoDB provides better functionality in terms of availability, scalability, and performance.|
|7||Introduction Apache Spark||This module will take you through Spark, which is a fast & big data processing engine. It gets differentiated from other engine based on ease of writing applications in languages like Scala, Python and R. This module will also take you through the core architecture of Spark for your deeper understanding.|
|8||Apache Oozie||In this module, you will learn about workflow management tool, which manages the Hadoop jobs. You will be taught how to streamline the complex data transformation and multiple jobs associated with single task through Oozie commands.|
|9||Apache Flume||This module will take you through an efficient, fault tolerant and robust tool, which is helpful in, collecting, aggregating, and moving large amounts of streaming event data. With various relevant examples, you will be shown its implementation.|
|10||Apache-Avro||In this Hadoop certification, you will understand the concept of serialization and deserialization through Apache Avro. It will also tell you about the use of JSON to compress the data, defining schemas and also to define the protocol.|
|11||Hive concepts hands demonstration||This is a mini-course which will take you to deeper commands where examination of huge dataset will be showcased. This will also show you the SQL queries to be run on Hadoop cluster to access the SQL data such as insert, join, views etc.|
|12||Sales Data Analysis using Hadoop HDFS||In this Hadoop certification, you will learn about the application of Hadoop with help of sales data. Multiple tasks will be performed such as finding highest sale customer, count of customers on hold, highest sales in motorcycles etc. This will provide you grip on writing command of in Hadoop while analyzing dataset.|
|13||Connecting Twitter using Spark||This Hadoop certification will give you understanding about connecting twitter to Spark. This will show you how real time streaming happens in Spark, along with pushing the data to output the data.|
|14||Introduction to Tourism Survey Analysis using HDFS||In this course, you will learn about the application of Hadoop with help of tourism survey data. This will help you address some of the problems like: Getting average money spent on tourism, getting count of tourists age less than 18 years, getting count of male’s tourists etc.|
|15||Faculty Data Management using HDFS||In this Hadoop certification, you will learn about the application of Hadoop with help of faculty data. This module will make get your hands dirty with finding solution to some problems related to faculty data such as: changing name of table, changing name of column, getting the deleted column through admin rights etc.|
|16||Hive Case Study Telecom Industry||This Hadoop training will give you some hands-on experience related to creating tables/partitions, manipulating data, use of hive operators and writing functions in Hive. This all will be showcased around telecom industry data.|
|17||Customers Complaints Analysis using Hadoop||This module will take you through Hadoop use cases around customer complaints. You will be showcased how to find product wise number of complaints filed, geo wise number of complaints etc. This hands on will help you with overall Hadoop script writing.|
|18||E-Commerce Sales Analysis using Hadoop||This Hadoop certification is about the applicability of Hadoop technologies and its applicability over dataset (e-commerce Sales data). It will showcase you the commands and process to split the retail dataset, get the details of customers from various regions, get the customer accounts details etc.|
|19||Salary Analysis using Hadoop||This trianing takes you to the applicability of Hadoop with help of Salary dataset. In this, you can have a comprehensive practice of no. of complaints received in various quarters, complaints closed by month etc.|
|20||Analyze Loan Dataset using Hadoop||This Hadoop certification will give you hands-on experience on Hadoop Map/Reduce coding with respect to loan dataset. You will see how to find the no. of loans issued by region, current loan status, latest payment status, the average risk score associated with it etc.|
|21||Social Media Analysis using Hadoop||This course will give you a better exposure from getting the through scoop to analyzing the data through Hive, in terms of social media. In between processing will also be showcased over Hadoop which will include segregating comments by positive/negative comments etc.|
|22||Advanced Splunk Tutorials Module 2 Splunk Administration||This Hadoop certification will take you through the way of monitoring and visualizing the dataset in an efficient way through Splunk. This will help you solve the problem of any size. Parsing, searching and resource management will be part of this module.|
|28||Health Survey Analysis using HDFS||This Hadoop training will take you through Hadoop applicability around Healthcare dataset. Importing data to HDFS, inserting new rows, exporting data again to SQL etc. will be the highlights of this module.|
|29||Sensor Data Analysis Hadoop||This Hadoop certification will showcase the analyzing of sensor data for a country. This analyzing of data will be showcased through different tools like MR, Hive and Pig, enabling better strategical decisions.|
|30||Traffic Violation Analysis using HDFS||This Hadoop certification project is focused on the applicability of Hadoop. You get to explore and analyze the traffic violation data. Fetching data from SQL to HDFS, creating sqoop jobs, exploring the injuries happened, viewing tables etc. will be some activities showcased here.|
|31||YouTube Data Analysis using Hadoop||This Hadoop training will help you analyze the video’s uploaded on YouTube with help of Hadoop technologies. You will write scripts of finding the Top 10 highest rated videos’, top 10 viewed videos, sorting videos alphabetically etc.|
|32||Log Data Analysis Hadoop||This Hadoop training will take you through MR, Pig and Hive for analyzing the real-time log data. Parsing of real-time log data can get you many insights which can’t be observed through our eyes instantly.|
Certificate of Completion
What is Hadoop?
Hadoop is an open source, big data processing engine. This works in a distributed environment with 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 main prerequisite for Hadoop. Hadoop is basically 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 master-slave architecture. One HDFS cluster consists of one name node and rest other as data node. 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.
What skills will I learn from this Hadoop Training course?
Today top-notch companies are relying on Hadoop environment because of 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 with 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 certification course.
This will also focus on skills of deploying Hadoop for block processing, batch processing, real-time processing from various kind 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 Certification
- Willingness to pursue a career and Basic knowledge in Analytics: Every individual who wants to pursue 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 analytics career, this course will boost your skills and will make you a asset for your organization. Skill and passion together gives perfection to your work.
- Basic knowledge of Java: Learning Hadoop means learning HDFS & MapReduce. All programs or scripts written in MapReduce is in form of Map & reduce tasks. This task gets easier to write when you have background of Java with you. 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 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 are 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 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 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 corporate world, which demands well to do knowledge of big data & MapReduce things. So that technical decisions are better made.
Hadoop Course FAQ’s- General Questions
Why should I do this Hadoop certification?
This course is ideal for candidates who aspire to make their career in data analytics and for the professional who want to enhance their technical skill in analytic domain or big data domain. This course will give you 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 entire picture over it.
I don’t have a background in Analytics, can I do this Hadoop certification?
The answer is partially 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 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 towards this field and even excel in this field as well.
How do I enroll for this Hadoop certification?
You can enroll for this Hadoop Course through our website. You can make an online payment using following options (any one):
- Visa debit/credit card
- Master Card
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.
Career Benefits of this Training on Hadoop
It an obvious and not denying fact, that Hadoop (that is HDFS) is the most reliable storage layer and the base for using any big data processing tool. It enables application to work on multiple nodes, dealing with peta bytes of data. Looking at the 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 big data domain.
Taking this Hadoop course will surely give you confidence you stand out in crowd.
As almost organization tend towards getting more diversified, HDFS is great fit when it comes to store data irrespective of data types. As data is considered the new Gold, there will always be necessity of fast big data processing.
Hadoop Training Course Testimonials
Hadoop and HDFS Basics on Cloudera
very good introduction
Youtube Data Analysis using Hadoop
Monica Rodriguez Espitia