YoVDO

CS115x: Advanced Apache Spark for Data Science and Data Engineering

Offered By: University of California, Berkeley via edX

Tags

Data Science Courses Apache Spark Courses Memory Management Courses Data Engineering Courses

Course Description

Overview

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. 

Taught by

Anthony D. Joseph and Jon Bates

Tags

Related Courses

Heterogeneous Parallel Programming
University of Illinois at Urbana-Champaign via Coursera
Advanced Operating Systems
Georgia Institute of Technology via Udacity
計算機程式設計 (Computer Programming)
National Taiwan University via Coursera
Introduction to Operating Systems
Georgia Institute of Technology via Udacity
Android Performance
Google via Udacity