Apache Spark for Data Engineering and Machine Learning
About this Course
Apache® Spark™ is a fast, flexible, and developer-friendly open-source platform for large-scale SQL, batch processing, stream processing, and machine learning. Users can take advantage of its open-source ecosystem, speed, ease of use, and analytic capabilities to work with Big Data in new ways. In this short course, you explore concepts and gain hands-on skills to use Spark for data engineering and machine learning applications. You'll learn about Spark Structured Streaming, including data sources, output modes, operations. Then, explore how Graph theory works and discover how GraphFrames supports Spark DataFrames and popular algorithms. Organizations can acquire data from structured and unstructured sources and deliver the data to users in formats they can use. Learn how to use Spark for extract, transform and load (ETL) data. Then, you'll hone your newly acquired skills during your "ETL for Machine Learning Pipelines" lab. Next, discover why machine learning practitioners prefer Spark. You'll learn how to create pipelines and quickly implement features for extraction, selections, and transformations on structured data sets. Discover how to perform classification and regression using Spark. You'll be able to define and identify both supervised and unsupervised learning. Learn about clustering and how to apply the k-mean s clustering algorithm using Spark MLlib. You'll reinforce your knowledge with focused, hands-on labs and a final project where you will apply Spark to a real-world inspired problem. Prior to taking this course, please ensure you have foundational Spark knowledge and skills, for example, by first completing the IBM course titled "Big Data, Hadoop and Spark Basics."Created by: IBM
Level: Intermediate
Related Online Courses
Prototyping is part art, part science. In this MOOC you will learn both UI design (user interface design) and the ergonomic criteria (grounded in cognitive psychology), which underlies it. With... more
This course is designed to teach you how systems are developed using IoT technology. Many engineers and developers tend to focus ona single discipline - either software or hardware. However, in... more
This is the third course in the Software Development MicroMasters program. You will learn how to build larger and more complex software systems using the Java programming language. The course... more
Side channels have become increasingly important over the past two decades in our digital world. With attacks like Meltdown and Spectre, which internally use side channels, they have gained... more
Want to take a fascinating journey through the history of gaming? Then this course is for you. Our journey begins with an exploration of how ancient board games evolved into modern board games and... more