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The Ultimate Hands-On Hadoop: Tame your Big Data!

Data Engineering and Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more!
4.6
4.6/5
(26,901 reviews)
154,227 students
Created by

9.9

Classbaze Grade®

10.0

Freshness

9.2

Popularity

9.9

Material

Hadoop tutorial with MapReduce
Platform: Udemy
Video: 14h 46m
Language: English
Next start: On Demand

Best Big Data classes:

Classbaze Rating

Classbaze Grade®

9.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.2 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.9 / 10
Video Score: 9.8 / 10
The course includes 14h 46m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 46 minutes of 98 Big Data courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

8 articles.
2 resources.
0 exercise.
0 test.

In this page

About the course

The world of Hadoop and “Big Data” can be intimidating – hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop tutorial, you’ll not only understand what those systems are and how they fit together – but you’ll go hands-on and learn how to use them to solve real business problems!
Learn and master the most popular data engineering technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We’ll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.

•Install and work with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UI
•Manage big data on a cluster with HDFS and MapReduce
•Write programs to analyze data on Hadoop with Pig and Spark
•Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto
•Design real-world systems using the Hadoop ecosystem
•Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue
•Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm
Spark and Hadoop developers are hugely valued at companies with large amounts of data; these are very marketable skills to learn.
Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM,  Spotify, Twitter, and Yahoo! And it’s not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images.
This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It’s filled with hands-on activities and exercises, so you get some real experience in using Hadoop – it’s not just theory.
You’ll find a range of activities in this course for people at every level. If you’re a project manager who just wants to learn the buzzwords, there are web UI’s for many of the activities in the course that require no programming knowledge. If you’re comfortable with command lines, we’ll show you how to work with them too. And if you’re a programmer, I’ll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python.
You’ll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end! 
Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way.
Knowing how to wrangle “big data” is an incredibly valuable skill for today’s top tech employers. Don’t be left behind – enroll now!

•”The Ultimate Hands-On Hadoop… was a crucial discovery for me. I supplemented your course with a bunch of literature and conferences until I managed to land an interview. I can proudly say that I landed a job as a Big Data Engineer around a year after I started your course. Thanks so much for all the great content you have generated and the crystal clear explanations. ” – Aldo Serrano

•”I honestly wouldn’t be where I am now without this course. Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment.   This course helped me achieve a far greater understanding of the environment and its capabilities.  Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment.” – Tyler Buck

What can you learn from this course?

✓ Design distributed systems that manage “big data” using Hadoop and related data engineering technologies.
✓ Use HDFS and MapReduce for storing and analyzing data at scale.
✓ Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
✓ Analyze relational data using Hive and MySQL
✓ Analyze non-relational data using HBase, Cassandra, and MongoDB
✓ Query data interactively with Drill, Phoenix, and Presto
✓ Choose an appropriate data storage technology for your application
✓ Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
✓ Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
✓ Consume streaming data using Spark Streaming, Flink, and Storm

What you need to start the course?

• You will need access to a x86-based PC running 64-bit Windows, MacOS, or Linux with an Internet connection and at least 8GB of *free* (not total) RAM, if you want to participate in the hands-on activities and exercises. If your PC does not meet these requirements or you only have an M1-based Mac available, you can still follow along in the course without doing hands-on activities.
• Some activities will require some prior programming experience, preferably in Python or Scala.
• A basic familiarity with the Linux command line will be very helpful.

Who is this course is made for?

• Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend “big data” at scale.
• Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop.
• Data analysts and database administrators who are curious about Hadoop and how it relates to their work.
• System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.

Are there coupons or discounts for The Ultimate Hands-On Hadoop: Tame your Big Data! ? What is the current price?

The course costs $19.99. And currently there is a 33% discount on the original price of the course, which was $29.99. So you save $10 if you enroll the course now.
The average price is $17.9 of 98 Big Data courses. So this course is 12% more expensive than the average Big Data course on Udemy.

Will I be refunded if I'm not satisfied with the The Ultimate Hands-On Hadoop: Tame your Big Data! course?

YES, The Ultimate Hands-On Hadoop: Tame your Big Data! has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the The Ultimate Hands-On Hadoop: Tame your Big Data! course, but there is a $10 discount from the original price ($29.99). So the current price is just $19.99.

Who will teach this course? Can I trust Sundog Education by Frank Kane?

Sundog Education by Frank Kane has created 34 courses that got 127,324 reviews which are generally positive. Sundog Education by Frank Kane has taught 606,191 students and received a 4.6 average review out of 127,324 reviews. Depending on the information available, we think that Sundog Education by Frank Kane is an instructor that you can trust.
Founder, Sundog Education. Machine Learning Pro
Sundog Education’s mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. 
Sundog Education is led by Frank Kane and owned by Frank’s company, Sundog Software LLC. Frank 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.
Browse all courses by on Classbaze.

9.9

Classbaze Grade®

10.0

Freshness

9.2

Popularity

9.9

Material

Platform: Udemy
Video: 14h 46m
Language: English
Next start: On Demand

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