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Taming Big Data with Apache Spark and Python – Hands On!

Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!
4.5
4.5/5
(11,120 reviews)
63,316 students
Created by

9.7

CourseMarks Score®

10.0

Freshness

9.1

Feedback

9.5

Content

Platform: Udemy
Price: $15.99
Video: 6h 55m
Language: English
Next start: On Demand

Top Apache Spark courses:

Detailed Analysis

CourseMarks Score®

9.7 / 10

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

Freshness Score

10.0 / 10
This course was last updated on 8/2021.

Course content can become outdated quite quickly.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.

Student Feedback

9.1 / 10
We analyzed factors such as the rating (4.5/5) 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.

Content Score

9.5 / 10
Video Score: 8.6 / 10
The course includes 6h 55m 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 6 hours 37 minutes of 101 Apache Spark 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:

3 articles.
23 resources.
0 exercise.
0 test.

Table of contents

Description

New! Updated for Spark 3, more hands-on exercises, and a stronger focus on DataFrames and Structured Streaming.
“Big data” analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think.
Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course. You’ll be learning from an ex-engineer and senior manager from Amazon and IMDb.
•Learn the concepts of Spark’s DataFrames and Resilient Distributed Datastores
•Develop and run Spark jobs quickly using Python
•Translate complex analysis problems into iterative or multi-stage Spark scripts
•Scale up to larger data sets using Amazon’s Elastic MapReduce service
•Understand how Hadoop YARN distributes Spark across computing clusters
•Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX
By the end of this course, you’ll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes. 
This course uses the familiar Python programming language; if you’d rather use Scala to get the best performance out of Spark, see my “Apache Spark with Scala – Hands On with Big Data” course instead.

We’ll have some fun along the way. You’ll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you’ve got the basics under your belt, we’ll move to some more complex and interesting tasks. We’ll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We’ll analyze a social graph of superheroes, and learn who the most “popular” superhero is – and develop a system to find “degrees of separation” between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You’ll find the answer.
This course is very hands-on; you’ll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. 7 hours of video content is included, with over 20 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.
Wrangling big data with Apache Spark is an important skill in today’s technical world. Enroll now!
•” I studied “Taming Big Data with Apache Spark and Python” with Frank Kane, and helped me build a great platform for Big Data as a Service for my company. I recommend the course!  ” – Cleuton Sampaio De Melo Jr.

You will learn

✓ Use DataFrames and Structured Streaming in Spark 3
✓ Frame big data analysis problems as Spark problems
✓ Use Amazon’s Elastic MapReduce service to run your job on a cluster with Hadoop YARN
✓ Install and run Apache Spark on a desktop computer or on a cluster
✓ Use Spark’s Resilient Distributed Datasets to process and analyze large data sets across many CPU’s
✓ Implement iterative algorithms such as breadth-first-search using Spark
✓ Use the MLLib machine learning library to answer common data mining questions
✓ Understand how Spark SQL lets you work with structured data
✓ Understand how Spark Streaming lets your process continuous streams of data in real time
✓ Tune and troubleshoot large jobs running on a cluster
✓ Share information between nodes on a Spark cluster using broadcast variables and accumulators
✓ Understand how the GraphX library helps with network analysis problems

Requirements

• Access to a personal computer. This course uses Windows, but the sample code will work fine on Linux as well.Some prior programming or scripting experience. Python experience will help a lot, but you can pick it up as we go.

This course is for

• People with some software development background who want to learn the hottest technology in big data analysis will want to check this out. This course focuses on Spark from a software development standpoint; we introduce some machine learning and data mining concepts along the way, but that’s not the focus. If you want to learn how to use Spark to carve up huge datasets and extract meaning from them, then this course is for you.
• If you’ve never written a computer program or a script before, this course isn’t for you – yet. I suggest starting with a Python course first, if programming is new to you.
• If your software development job involves, or will involve, processing large amounts of data, you need to know about Spark.
• If you’re training for a new career in data science or big data, Spark is an important part of it.

How much does the Taming Big Data with Apache Spark and Python - Hands On! course cost? Is it worth it?

The course costs $15.99. And currently there is a 82% discount on the original price of the course, which was $89.99. So you save $74 if you enroll the course now.
The average price is $14.2 of 101 Apache Spark courses. So this course is 9% cheaper than the average Apache Spark course on Udemy.

Does the Taming Big Data with Apache Spark and Python - Hands On! course have a money back guarantee or refund policy?

YES, Taming Big Data with Apache Spark and Python – Hands On! has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Taming Big Data with Apache Spark and Python - Hands On! course, but there is a $74 discount from the original price ($89.99). So the current price is just $15.99.

Who is the instructor? Is Sundog Education by Frank Kane a SCAM or a TRUSTED instructor?

Sundog Education by Frank Kane has created 23 courses that got 108,952 reviews which are generally positive. Sundog Education by Frank Kane has taught 512,757 students and received a 4.6 average review out of 108,952 reviews. Depending on the information available, Sundog Education by Frank Kane is a TRUSTED instructor.
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.

9.7

CourseMarks Score®

10.0

Freshness

9.1

Feedback

9.5

Content

Platform: Udemy
Price: $15.99
Video: 6h 55m
Language: English
Next start: On Demand

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