95% off Learn By Example: Hadoop, MapReduce for Big Data problems (Coupon)

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Learn By Example: Hadoop, MapReduce for Big Data problems - Udemy Coupon

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Coupon & course info

Course Name: Learn By Example: Hadoop, MapReduce for Big Data problems

Subtitle: A hands-on workout in Hadoop, MapReduce and the art of thinking “parallel”

Instructor: Taught by An ex-Google, Stanford and Flipkart team

Category: Development

Subcategory: Software Engineering

Provided by: Udemy

Price: $99.99 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of March 15, 2019…

Students: 5418 students enrolled

Ratings: 466 reviews

Rank: ranked #724 in Udemy Development Courses

Brief course description

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers  and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.

This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel.

Let’s parse that.

(Read more about this course on the official course page.)

Loony Corn bio

Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years  working in tech, in the Bay Area, New York, Singapore and Bangalore.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: N/A

Lectures: 73 lectures lessons

Duration: 13.5 hours of video

What you get: Develop advanced MapReduce applications to process BigData

Target audience: Yep! Analysts who want to leverage the power of HDFS where traditional databases don’t cut it anymore

Requirements: You’ll need an IDE where you can write Java code or open the source code that’s shared. IntelliJ and Eclipse are both great options.

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