This is the best Udemy Taming Big Data with MapReduce and Hadoop – Hands On! coupon code discount for 2022.
So if you’re interested in Frank Kane’s “Taming Big Data with MapReduce and Hadoop – Hands On!” course, which will help you increase your Business skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)
Taming Big Data with MapReduce and Hadoop – Hands On! review for 2022
In our review of this course, we try to help you answer all of your most important questions about Taming Big Data with MapReduce and Hadoop – Hands On! as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.
Feel free to jump to whatever question you want answered the most.
Here’s what you’ll learn:
Why use TBDWMAH-HO as an abbreviation of the course name?
During our Taming Big Data with MapReduce and Hadoop – Hands On! course review, you might sometimes see us refer to it as TBDWMAH-HO for the following 2 reasons:
- We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
- We’re lazy and TBDWMAH-HO is simpler and easier for reviewing purposes
The full course name is 53 characters long, including blanks, while TBDWMAH-HO is 10 characters long.
You do the math.
Okay, we’ll do the math. We’re saving 43 characters every time we use TBDWMAH-HO.
So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to TBDWMAH-HO throughout the remainder of this review.
Is the Taming Big Data with MapReduce and Hadoop – Hands On! course for you?
To determine whether Frank Kane’s Udemy course is a good fit for you or not, ask yourself the following questions down below.
The more you answer “yes” to each question, the more likely it is that you’ll like this course.
Can you understand what Frank Kane’s course is about in 30 seconds or less?
Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Frank Kane chose for the course, “Taming Big Data with MapReduce and Hadoop – Hands On!”, as well as its subtitle: “Learn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon’s Elastic MapReduce Service.”.
This combo of title and subtitle should be enough to communicate the purpose of the training if Frank Kane is a good, clear communicator (which, of course, you want in a teacher).
In our opinion, if you still don’t know what TBDWMAH-HO is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.
Among other things, it means Frank Kane hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.
For similar reasons, it’s important that you’re able to clearly understand what Taming Big Data with MapReduce and Hadoop – Hands On! is all about from the first few lines of the course description.
So take just a few seconds to read the opening lines down below and see what you think of them.
Opening lines of Frank Kane’s official description of TBDWMAH-HO
“Big data” analysis is a hot and highly valuable skill – and this course will teach you two technologies fundamental to big data quickly: MapReduce and Hadoop. Ever wonder how Google manages to analyze the entire Internet on a continual basis? You’ll learn those same techniques, using your own Windows system right at home.
Learn and master the art of framing data analysis problems as MapReduce problems through over 10 hands-on examples, and then scale them up to run on cloud computing services in this course.
(Read more about this course on the official course page.)
Does TBDWMAH-HO pass the 30 Seconds Test?
You can read a lot more about Taming Big Data with MapReduce and Hadoop – Hands On! on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?
If so, Frank Kane has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.
And, if not, maybe you’re better off looking at other Business classes that are more clearly defined and more tailored to your specific interests.
Did Taming Big Data with MapReduce and Hadoop – Hands On! appeal to you in 30 seconds or less?
Now that you’ve done the 30 Second Test with TBDWMAH-HO above, what is your gut reaction to this Business course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?
Did Frank Kane do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?
If so, Frank Kane’s online course is certainly worth considering some more.
But if not, perhaps it’s in your best interest to consider some other Business courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.
Does Frank Kane sound like a course instructor you’d like to learn from?
You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the TBDWMAH-HO course is worth taking.
We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Frank Kane’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.
There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.
(FYI, all Udemy instructors, including Frank Kane, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).
Opening lines from Frank Kane’s Udemy bio
Frank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
(Learn more about this instructor on the official course page.)
What did you think about Frank Kane after reading just the first few lines of the bio above?
After reading just the first few lines about Frank Kane, did it make you more or less interested in taking the TBDWMAH-HO course?
And did it make you feel like Frank Kane was more or less credible and qualified to teach Taming Big Data with MapReduce and Hadoop – Hands On!?
Finally, overall, did you feel like you’d receive the proper training from the instructor of this Business course?
As always, we encourage you to listen to your gut instinct, which is different for every student.
Are the TBDWMAH-HO lessons clear, specific, and organized well?
Part of the (good) problem with Udemy’s online courses, such as the Taming Big Data with MapReduce and Hadoop – Hands On! course, is that the instructors are constantly updating them, including adding and renaming lessons.
So it makes no sense whatsoever for us to list out all the modules and lessons in the TBDWMAH-HO course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.
We do, however, have some tips about reviewing Frank Kane’s course structure, so that you can get a better sense of whether this program is worth your time or not.
In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Taming Big Data with MapReduce and Hadoop – Hands On!, as well as the course’s subtitle, Learn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon’s Elastic MapReduce Service..
If the section names and lessons are clear, specific, and relevant, then it’s a good sign that TBDWMAH-HO is potentially a good, useful course for you, and you can have more confidence in Frank Kane’s teaching abilities and lesson planning.
On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.
Have you taken some free lessons from Frank Kane that you enjoyed?
Have you already learned something from Frank Kane that you valued or enjoyed?
For example, does the Taming Big Data with MapReduce and Hadoop – Hands On! training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)
But if you weren’t able to get any TBDWMAH-HO lessons for free, have you perhaps watched a YouTube video by Frank Kane, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?
Or have you perhaps even taken one of Frank Kane’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)
In any case, the more familiar you are with Frank Kane’s teaching methods, and the more you enjoy them, the more likely it is that Taming Big Data with MapReduce and Hadoop – Hands On! will be a good fit for you.
(P.S.: We strongly encourage you to seek out some free instruction from Frank Kane before purchasing this course, since it’s one of the best ways to determine whether TBDWMAH-HO will be helpful for you.)
Are “Taming Big Data with MapReduce and Hadoop – Hands On!” reviews generally positive?
On the bottom of the TBDWMAH-HO page, you can read student reviews of the class.
Prior to September 30, 2022, there were 6,177 students enrolled, 2,430 reviews / ratings, and it was overall rated 4.4 out of 5.
Obviously, the more highly other students rate TBDWMAH-HO the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.
After all, everyone’s got their own opinion.
We recommend that you spend only a couple minutes scanning the TBDWMAH-HO reviews to get an overall sense of them. You don’t have to read each one!
Is Frank Kane responsive to student questions in the TBDWMAH-HO training?
You can see what other students have to say about this in their TBDWMAH-HO reviews.
But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.
In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Frank Kane a message through this system quite easily, even if you haven’t bought TBDWMAH-HO yet.
For example, you could say, “Hi, and I came across TBDWMAH-HO while looking at Business courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”
If you use this approach, the response (or lack of response) from the professor will tell you everything.
Obviously, the quicker the response the better!
Are you comfortable going through the lessons in Taming Big Data with MapReduce and Hadoop – Hands On! on your own, online?
This is a big one, because Taming Big Data with MapReduce and Hadoop – Hands On! is an online course as opposed to a course that you physically take in a classroom.
Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Taming Big Data with MapReduce and Hadoop – Hands On!.
Yes, you will be able to interact with the students and the teacher, Frank Kane, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.
This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.
Do the pros / benefits of TBDWMAH-HO make it worth your time?
Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Taming Big Data with MapReduce and Hadoop – Hands On! training that looks something like this:
- The purpose of TBDWMAH-HO can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
- Frank Kane is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
- Other TBDWMAH-HO students have great things to say about the program
Other benefits include:
- You get to go through TBDWMAH-HO at your own pace
- You join a community of 6,177 other students taking the course
- You get lifetime access to the training
- All updates to the training are free
- You have a 30 day money back guarantee
Even if there are some things that you don’t like about the program, so what?
The question is simply this: do you think that TBDWMAH-HO would be worth your time, even if there are some things that could be better about it?
Can you comfortably afford TBDWMAH-HO?
Can you comfortably afford the cost of Taming Big Data with MapReduce and Hadoop – Hands On!?
This is an important question to answer, because even if you think TBDWMAH-HO sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!
Before September 30, 2022, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.
Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on TBDWMAH-HO with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.
We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.
How can you maximize your discount on Taming Big Data with MapReduce and Hadoop – Hands On!?
By far, the easiest way to get the best and biggest discount on this course is to use the Taming Big Data with MapReduce and Hadoop – Hands On! discount code link at the top of this page.
It will instantly give you the best coupon code we could find for Frank Kane’s online training.
We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best TBDWMAH-HO course coupons and promo codes you can find.
FYI, the methods below will help you not just with getting TBDWMAH-HO for a better price, but also with any other Frank Kane Udemy course that you’d like to get for cheaper.
How can Google help you get a TBDWMAH-HO discount?
To use this method, do a Google search for the TBDWMAH-HO training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.
For example, you might do a search for “Udemy Taming Big Data with MapReduce and Hadoop – Hands On! promo code” or “Taming Big Data with MapReduce and Hadoop – Hands On! udemy coupon codes” and see what turns up.
Similarly, you can use the same combination of search terms with Frank Kane’s name and see what happens.
For example, you might do a Google search for “Frank Kane Udemy coupons” or “Frank Kane course coupon codes” and see if that helps you.
However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.
So in this case, for example, prioritize searches for “Taming Big Data with MapReduce and Hadoop – Hands On! coupons” rather than “Frank Kane coupons”.
How can a Udemy sale get you TBDWMAH-HO for cheaper?
Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.
So, if you’re interested in saving as much money as possible, you could wait and see if you can get TBDWMAH-HO for this cheaper Udemy sale price one day.
The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Frank Kane decides not to participate in the site wide sale, then you won’t get a discount on TBDWMAH-HO, even though you could get a great discount on almost any other class at Udemy!
To understand this, think of there as being two different coupon categories for the TBDWMAH-HO course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.
At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.
How can you get a TBDWMAH-HO discount from Frank Kane?
If you’re really serious about getting “Taming Big Data with MapReduce and Hadoop – Hands On!” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Frank Kane, instead of waiting for a Udemy sale.
To do this, you can use either the direct approach or an indirect approach to try to get your discount.
With the direct approach, the big idea is to simply get Frank Kane’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).
Then you send a message saying something like “I’m interested in enrolling in Taming Big Data with MapReduce and Hadoop – Hands On!. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)
On the other hand, with the indirect approach, you join Frank Kane’s mailing list, if you can find it, and then you hope that at some time TBDWMAH-HO will be promoted to you at a discount.
By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.
Can you get TBDWMAH-HO for free?
Of course, the best possible price for the TBDWMAH-HO training is free! As in, you pay no money whatsoever.
And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Frank Kane has done this.
Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.
For example, you might do a google search for “Taming Big Data with MapReduce and Hadoop – Hands On! free coupon” or “Taming Big Data with MapReduce and Hadoop – Hands On! 100 off coupon” and see what happens.
But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.
So even Frank Kane has offered free coupons for TBDWMAH-HO in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.
What about a TBDWMAH-HO free download?
It’s important to understand that there’s a difference between getting full access to the TBDWMAH-HO training for free legally with a free coupon code vs. finding a way to download TBDWMAH-HO illegally.
If you really want to go the download route, you can do a google search for something like “Taming Big Data with MapReduce and Hadoop – Hands On! download”.
And if that doesn’t get you the results you want, you can add the word “free” to your search.
For example, perhaps you could do a google search for “Taming Big Data with MapReduce and Hadoop – Hands On! free download”.
However, even if you get some results from these searches, we do not recommend that you take this course of action.
First of all, there are some shady sites out there that could be trying to infect your computer.
Second, Frank Kane created this course and deserves monetary compensation for it.
And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 6,177 students enrolled in the program.
Can you get a refund on Taming Big Data with MapReduce and Hadoop – Hands On! if you don’t like it?
Let’s say that you used our tips above, and you were able to buy the TBDWMAH-HO training at a fantastic discounted price. So at this point, you’re super excited.
Then, you actually dive into Frank Kane’s course, and you discover that it just isn’t for you for whatever reason.
And now you’re super bummed, because you feel like it wasn’t money well spent.
Well, guess what?
Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on TBDWMAH-HO no matter what. And this means there is absolutely no risk.
Indeed, even if you left a super negative, critical review on the TBDWMAH-HO training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Frank Kane could do about it, since it is simply Udemy policy.
To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing TBDWMAH-HO and not liking it, since you can always get your money back.
What is OCP’s overall rating of Taming Big Data with MapReduce and Hadoop – Hands On!?
During this TBDWMAH-HO review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.
So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.
Anyway, after taking a look at the TBDWMAH-HO training, the instructor, Frank Kane, and reading what other students have said about this program, we give it an overall rating of 4.5 out of 5.
Ultimately, though, what matters most is what you would rate it based on the same criteria.
What are some potential alternatives to Taming Big Data with MapReduce and Hadoop – Hands On!?
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TLDR: Just the quick facts about TBDWMAH-HO
Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what TBDWMAH-HO’s online training is all about:
TBDWMAH-HO coupon & course info
Course Name: Taming Big Data with MapReduce and Hadoop – Hands On!
Subtitle: Learn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon’s Elastic MapReduce Service.
Instructor: Taught by Frank Kane
Subcategory: Data & Analytics
Provided by: Udemy
Price: $12.99 (before discount)
Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)
TBDWMAH-HO review info & popularity
Prior to September 30, 2022…
Students: 6,177 students enrolled
Ratings: 2,430 reviews
Rank: ranked #13 in Udemy Business Courses in Udemy Business Courses
Rankings tip: rankings change all the time, so even if Taming Big Data with MapReduce and Hadoop – Hands On! is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year
TBDWMAH-HO final details
Skill level: All Levels
Lectures: 54 lectures lectures lessons
Duration: 5 total hours hours of video
What you get: Understand how MapReduce can be used to analyze big data sets
Target audience: This course is best for students with some prior programming or scripting ability. We will treat you as a beginner when it comes to MapReduce and getting everything set up for writing MapReduce jobs with Python, MRJob, and Amazon’s Elastic MapReduce service – but we won’t spend a lot of time teaching you how to write code. The focus is on framing data analysis problems as MapReduce problems and running them either locally or on a Hadoop cluster. If you don’t know Python, you’ll need to be able to pick it up based on the examples we give. If you’re new to programming, you’ll want to learn a programming or scripting language before taking this course.
Requirements: You’ll need a Windows system, and we’ll walk you through downloading and installing a Python development environment and the tools you need as part of the course. If you’re on Linux and already have a Python development environment in place that you’re familiar with, that’s OK too. Again, be sure you have at least some programming or scripting experience under your belt. You won’t need to be a Python expert to succeed in this course, but you’ll need the fundamental concepts of programming in order to pick up what we’re doing.
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons