CS115x: Advanced Apache Spark for Data Science and Data Engineering
University of California, Berkeley via edX
-
176
-
- Write review
Not Currently Offered
Get 20% off all career paths from fullstack to AI
2,000+ Free Courses with Certificates: Coding, AI, SQL, and More
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Gain a deeper understanding of Spark by learning about its APIs, architecture, and common use cases. This statistics and data analysis course will cover material relevant to both data engineers and data scientists. You’ll learn how Spark efficiently transfers data across the network via its shuffle, details of memory management, optimizations to reduce compute costs, and more. Learners will see several use cases for Spark and will work to solve a variety of real-world problems using public datasets. After taking this course, you should have a thorough understanding of how Spark works and how you can best utilize its APIs to write efficient, scalable code. You’ll also learn about a wide variety of Spark’s APIs, including the APIs in Spark Streaming.Â
Taught by
Anthony D. Joseph and Jon Bates
Tags
Reviews
5.0 rating, based on 1 Class Central review
Showing Class Central Sort