IBM
Scalable Machine Learning on Big Data using Apache Spark
IBM

Scalable Machine Learning on Big Data using Apache Spark

Taught in English

Some content may not be translated

Romeo Kienzler

Instructor: Romeo Kienzler

22,832 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

3.8

(1,247 reviews)

|

73%

Intermediate level
Some related experience required
6 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Assessments

11 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.8

(1,247 reviews)

|

73%

Intermediate level
Some related experience required
6 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Machine Learning expertise

This course is part of the IBM AI Engineering Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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  • Gain a foundational understanding of a subject or tool
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There are 4 modules in this course

This is an introduction to Apache Spark. You'll learn how Apache Spark internally works and how to use it for data processing. RDD, the low level API is introduced in conjunction with parallel programming / functional programming. Then, different types of data storage solutions are contrasted. Finally, Apache Spark SQL and the optimizer Tungsten and Catalyst are explained.

What's included

6 videos6 readings2 quizzes

Applying basic statistical calculations using the Apache Spark RDD API in order to experience how parallelization in Apache Spark works

What's included

8 videos3 readings4 quizzes

Understand the concept of machine learning pipelines in order to understand how Apache SparkML works programmatically

What's included

5 videos2 readings3 quizzes

Apply Supervised and Unsupervised Machine Learning tasks using SparkML

What's included

4 videos2 readings2 quizzes

Instructor

Instructor ratings
3.7 (188 ratings)
Romeo Kienzler
IBM
10 Courses655,046 learners

Offered by

IBM

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3.8

1,247 reviews

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Reviewed on Jul 15, 2020

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5

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