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Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.
4.5
4.5/5
(2,736 reviews)
19,655 students
Created by

8.2

CourseMarks Score®

6.1

Freshness

8.6

Feedback

9.2

Content

Platform: Udemy
Video: 3h 26m
Language: English
Next start: On Demand

Top Apache Spark courses:

Detailed Analysis

CourseMarks Score®

8.2 / 10

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

Freshness Score

6.1 / 10
This course was last updated on 5/2018 .

Course content can become outdated quite quickly.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

8.6 / 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

9.2 / 10
Video Score: 8.1 / 10
The course includes 3h 26m 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: 9.5 / 10

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

This course contains:

15 articles.
1 resources.
0 exercise.
0 test.

Table of contents

Description

What is this course about:
This course covers all the fundamentals about Apache Spark with Java and teaches you everything you need to know about developing Spark applications with Java. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adapt Apache Spark for building big data processing pipeline and data analytics applications.
This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache web logs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom.  And much much more.
What will you learn from this lecture:
In particularly, you will learn:
•An overview of the architecture of Apache Spark.
•Develop Apache Spark 2.0 applications with Java using RDD transformations and actions and Spark SQL.
•Work with Apache Spark’s primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
•Deep dive into advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
•Scale up Spark applications on a Hadoop YARN cluster through Amazon’s Elastic MapReduce service.
•Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding of Spark SQL.
•Share information across different nodes on an Apache Spark cluster by broadcast variables and accumulators.•Best practices of working with Apache Spark in the field.
•Big data ecosystem overview.Why shall we learn Apache Spark:
Apache Spark gives us unlimited ability to build cutting-edge applications. It is also one of the most compelling technologies of the last decade in terms of its disruption to the big data world.
Spark provides in-memory cluster computing which greatly boosts the speed of iterative algorithms and interactive data mining tasks.
Apache Spark is the next-generation processing engine for big data.
Tons of companies are adapting Apache Spark to extract meaning from massive data sets, today you have access to that same big data technology right on your desktop.
Apache Spark is becoming a must tool for big data engineers and data scientists.
About the author:
Since 2015, James has been helping his company to adapt Apache Spark for building their big data processing pipeline and data analytics applications.
James’ company has gained massive benefits by adapting Apache Spark in production. In this course, he is going to share with you his years of knowledge and best practices of working with Spark in the real field.
Why choosing this course?
This course is very hands-on, James has put lots effort to provide you with not only the theory but also real-life examples of developing Spark applications that you can try out on your own laptop.
James has uploaded all the source code to Github and you will be able to follow along with either Windows, MAC OS or Linux.
In the end of this course, James is confident that you will gain in-depth knowledge about Spark and general big data analysis and data manipulation skills. You’ll be able to develop Spark application that analyzes Gigabytes scale of data both on your laptop, and in the cloud using Amazon’s Elastic MapReduce service!
30-day Money-back Guarantee!
You will get 30-day money-back guarantee from Udemy for this course.
 If not satisfied simply ask for a refund within 30 days. You will get a full refund. No questions whatsoever asked.
Are you ready to take your big data analysis skills and career to the next level, take this course now!
You will go from zero to Spark hero in 4 hours.

You will learn

✓ An overview of the architecture of Apache Spark.
✓ Work with Apache Spark’s primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
✓ Develop Apache Spark 2.0 applications using RDD transformations and actions and Spark SQL.
✓ Scale up Spark applications on a Hadoop YARN cluster through Amazon’s Elastic MapReduce service.
✓ Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding about Spark SQL.
✓ Share information across different nodes on a Apache Spark cluster by broadcast variables and accumulators.
✓ Advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
✓ Best practices of working with Apache Spark in the field.

Requirements

• A computer running Windows, OSX or Linux
• Previous Java programming skills
• Java 8 experience is preferred but NOT required

This course is for

• Anyone who want to fully understand how Apache Spark technology works and learn how Apache Spark is being used in the field.
• Software engineers who want to develop Apache Spark 2.0 applications using Spark Core and Spark SQL.
• Data scientists or data engineers who want to advance their career by improving their big data processing skills.

How much does the Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru course cost? Is it worth it?

The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $99.99. So you save $82 if you enroll the course now.
The average price is $14.2 of 101 Apache Spark courses on Udemy.

Does the Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru course have a money back guarantee or refund policy?

YES, Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru 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 Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru course, but there is a $82 discount from the original price ($99.99). So the current price is just $17.99.

Who is the instructor? Is Tao W. a SCAM or a TRUSTED instructor?

Tao W. has created 12 courses that got 20,242 reviews which are generally positive. Tao W. has taught 217,471 students and received a 4.4 average review out of 20,242 reviews. Depending on the information available, Tao W. is a TRUSTED instructor.
Software engineer
Tao is a passionate software engineer who works in a leading big data analysis company in Silicon Valley. 

Previously Tao has worked in big IT companies such as IBM and Tao.

Tao has a MS degree in Computer Science from University of McGill and many years of experience as a teaching assistant for various computer science classes.

When Tao is not working, Tao enjoys reading and swimming, and he is a passionate photographer.

8.2

CourseMarks Score®

6.1

Freshness

8.6

Feedback

9.2

Content

Platform: Udemy
Video: 3h 26m
Language: English
Next start: On Demand

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