6 Online Courses
Verifiable Certificate of Completion
MapReduce Fundamentals2h 23m
MapReduce Advanced5h 01m
Customers Complaints Analysis using HIVE/MapReduce1h 00m
Youtube Data Analysis using PIG/MapReduce3h 07m
Social Media Analysis using HIVE/PIG/MapReduce/Sqoop3h 37m
Skills you will master
- Secondary Sorting in Hadoop
- Joins in Hadoop
- Combiners in Hadoop
- Data Analysis in Hadoop
- Ratings in Mapreduce
- MapReduce Program
- Advanced MapReduce
- Hadoop Big Data Analytics
- Customers Complaints Analysis
- Youtube Data Analysis
- Social Media Analysis
- Loan Dataset Analysis with MapReduce
MapReduce Training Course
This Online MapReduce Certification Course includes 6 comprehensive MapReduce training courses with 17+ hours of video tutorials and Lifetime Access. You get to learn and apply concepts of MapReduce with live projects. MapReduce Training includes a conceptual and practical understanding of secondary sorting, Joins in Hadoop and combiners.
Internet was in existence since long back but things were not complex initially. The amount of data stored and shared throughout the Internet was insignificant. But, after the introduction of e-commerce and social media, the data has occupied the entire Internet abundantly. Being more specific, internet these days is all about data that has to be processed logically to generate some useful information.
To tackle the problem of handling and processing significant data, a technology called Hadoop was introduced to the competitive market and it is exactly what we are going to learn in this MapReduce training course. Here, we will be focusing on the MapReduce part of Hadoop which is mainly concerned with working on datasets. So without taking much time, let’s go and have a quick brief of topics that we will be leaning in this tutorial.
- Certificate of Completion
- Sample Preview
- Target Audience
- FAQs – General Questions
- Career Benefits
- Review / Testimonials
About MapReduce Course
|Course Name||Online MapReduce Certifiation Course|
|Deal||You get access to all 6 courses bundle. You do not need to purchase each course separately.|
|Hours||17+ Video Hours|
|Core Coverage||Concept and application of MapReduce in Big Data|
|Course Validity||Lifetime Access|
|Eligibility||Anyone who is serious about learning Big Data and wants to make a career in this Field|
|Pre-Requisites||Basic knowledge about Management would be preferable|
|What do you get?||Certificate of Completion for each of the 6 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 skills|
|Type of Training||Video Course – Self Paced Learning|
|System Requirement||1 GB RAM or higher|
|Other Requirement||Speaker / Headphone|
MapReduce Course Curriculum
In this section, each module of the MapReduce Certification Course is explained.
|Sr.No.||Course Name||No of Hours||Course Description|
|1||MapReduce Fundamentals||2||This MapReduce Course module is intended to give you detail about MapReduce basics. You will be learning the jargons that are being used in HDFS(Hadoop distributed file system). It is going to be two and half hour session where you will get visual exposure of Hadoop based terms which are essential to begin practice in Hadoop.|
|2||MapReduce Advanced||5||In this MapReduce course section, you will be learning about the role of mappers and reducers. This part will give you an insight into how MapReduce is used to solve huge data based on real-life problems. The datasets used here we are based on real case scenario to provide you an adequate understanding of MapReduce in depth. The main technique you will be learning is, how to segregate the data based on particular logic and how their processed outcome has to be utilized to produce the desired result.|
|3||Customers Complaints Analysis using HIVE/MapReduce||1||Categorizing customers complaints by the help of Hive is what we will learn in this section. The MapReduce training course will give an idea about how to work on HQL and the connection between HQL and HDFC. How MapReduce works as an intermediate between hive and HDFC, what converts the SQL queries into HQL queries such topics will be covered here by considering customers complaints as a problem. The interesting part is, it will give you a taste of both HIVE and MapReduce to analyze a common problem.|
|4||Youtube Data Analysis using PIG/MapReduce||3||In this MapReduce course module, you will be covering topics like understanding of PIG, it advantages over MapReduce, when and when not to use it. You will get a precise insight into how PIG leverages its capability to simplify the complex programs written in MapReduce. The main case here will be Data analysis of Youtube. You will how the youtube data could be analyzed to generate the required outcome using PIG module of HDFS.|
|5||Social Media Analysis using HIVE/PIG/MapReduce/Sqoop||3||Processing of terabytes of data obtained through social media and applying logic to them through complex programming is something that we learn in this part of the course. In addition to PIG, HIVE, and MapReduce, you will also get exposed to Sqoop. You will learn how Sqoop is used in data processing or data analysis. This MapReduce certification course section is actually developed to make you confident about choosing the different sub-modules of Hadoop based on requirement and the size of data that is required to be analyzed.|
|6||Analyze Loan Dataset using PIG/MapReduce||3||This MapReduce training module is specifically developed to get exposure to how the Hadoop frameworks could be used to analyze Loan dataset. The data scientists who work for the banking sector will learn how they can implement PIG or MapReduce to solve the loan based issues which were the outcome of huge Loan datasets. You will be learning how different datasets are allocated to various representatives and how their processed results are aggregated to reach the solution.|
|7||Total No. of Hours||17+ Hours|
Certificate of Completion
What is MapReduce?
MapReduce can be defined as the sub-module of Hadoop that offer huge scalability of data spread across numerous of commodity clusters. MapReduce comprises of two things that work consecutively in order to process the analytics. The process in both the different parts is done in a parallel manner helping save a lot of time while working with significant data. In the traditional data analysis approach, the data was analyzed serially and MapReduce overcomes that problem.
As it’s named sound, it involves mapping and reducing process which is done by mappers and reducers. The dataset gets divided equally among different mappers and all of the processes or analyses the data in a parallel manner. Once the mapper produces the outcome, reducers come in to generate the final outcome. The role of the reducer is to collect the data from all the mappers and then process their outcome to get the final result.
For instance, if Flipkart needs to find out the total sell in 2018 in Mumbai. The entire process will flow below.
- The entire dataset will be divided into months which means the sell data of one year will be divided into 12 months like how much they made each month from which location.
- The dataset will be then assigned to 12 mappers.
- Each mapper will find out in which city and how of how much the goods were sold.
- After the mappers generate the report, now it comes the turn of reducers.
- The reducers will grab the sell value from every month for Mumbai location.
- Eventually, they will all the sell value to generate the final outcome.
Which tangible skill you will learn in this course?
In this MapReduce training course, you will learn something that is definitely going to be the next big thing soon, generating lots of opportunities in the new future. You will learn how to work with mass data, unstructured data actually. Working with various kinds of data and try to get all of them on the same page any way is what you will study here. In technical term, you will be getting a practical insight into the working of data scientists. In addition to data processing, you will also learn to develop a program in HIVE, PIG, MapReduce, and Sqoop.
Every organization has its own requirement for data analysis so it is very important to develop a customized program that can generate the desired output. You will see and learn how the sub-modules of Hadoop like PIG or HIVE could be used to reduce the complexity of the program. In addition to all those vital things, you will learn which framework should you use and in which case. By the time you comes to the end of the MapReduce certification, you will be enough cognizant to play with abundant data.
MapReduce or Hadoop is something that people get barely get exposure of as compared to the programming languages. It could be considered a unique technology. So it is obvious that one must have to possess below skills to being learning MapReduce certification course.
- Programming Fundamental: You must know the basic of programming as you will be supposed to write programs in HIVE, PIG and so on. Though it is not the sole of Hadoop, you should have some idea about coding.
- Good Communication: As the processed outcome has to be presented to the next action takers, you should have good communication skills. Well, not just here but everywhere you must have some unique to present data.
- Analysis fundamentals: MS Excel provides us an interface where we can work with data. Thought the size of data is not that much but still, it gives you an idea of how the data could be processed.
MapReduce is the kind of technology that needs some prior experience as data analytics to learn it efficiently. It is kind of a vast topic and hence mostly preferred by working professionals. So if we talk about the target audience. Off course working folks will be the best audience who can opt this MapReduce certification course to enhance their expertise.
Coming to students, most of them prefer to have internships to begin their professional career. So all the students who want to work as an intern in reputed organizations should learn MapReduce as it can give a good kick start to their career. By using several modules taught here like HIVE or PIG, students can leverage it to make some basic projects as well.
People who are working in any other domain of information technology but wants to jump in as data scientists could be the perfect audience for this MapReduce certification course as nothing is best than a person willing to learn. Though it will be a bit hard to begin the things right after changing the domain, it’s also true that it won’t take much time to have you dive deep in this technology.
MapReduce Course- FAQ’s
In this section, we provide some common questions which candidates often ask before enrolling for the MapReduce certification course.
Why should we learn MapReduce?
In the modern era where data is the most important thing for any business or organization, learning MapReduce will give you an edge in the domain of data science. It is the latest technology that makes data processed in a parallel manner and hence makes the analysis time saving and efficient as well.
Is it tough for someone to learn MapReduce who has working experience in other technology?
In very simple work, No. it is not tough for anyone to learn MapReduce who has some working experience even if it’s in any other technology. The reason is, in data science, one has to know coding, analytics, communication and such stuff which are very common in all working professionals. It is true that you will not find things that easy in beginning, but with time you will develop an interest in this as it actually a very interesting topic to learn and explore.
In the modern period, where e-commerce and social media has occupied a large area of the internet, data has become a very important thing. All the organization keeps on digging more and more data so that they can analyze the trend as it all that gives them new direction or the expansion ideas. Even currently there are several opportunities as data scientists. It will sound a bit lucrative to you, but it’s the true fact that the opportunities in the market for data scientists is very significant but the folks having prior experience in this field is not adequate.
So if you are planning to grow your career in Hadoop, no time could be as best for you as it’s now to begin your career in this domain. You can opt this MapReduce course package and can be assured that it can give you career a good direction and will also make you technically strong as a data scientist.
MapReduce Course Reviews
Review Analysis in Hadoop
Youtube Data Analysis using Hadoop
Mónica Rodríguez Espitia
This course on Hadoop was fairly full.
Jorge Ferreira Gutierrez Junior
Very good training
Nice MapReduce training course