Data Streaming

As businesses increasingly rely on applications that produce and process data in real-time, data streaming is an increasingly in-demand skill for data engineers. The Data Streaming Nanodegree program will prepare you for the cutting edge of data engineering as more and more companies look to derive live insights from data at scale.
Students will learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming.
You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. You will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.

This program is designed to upskill experienced Software Engineers and Data Engineers to learn the latest advancements in data processing, sending data records continuously to support live updating.
The projects in the Data Streaming Nanodegree program will prepare you to develop systems and applications capable of interpreting data in real-time, and position you for roles in all industries that require live data processing for functions including big data, cloud computing, web personalization, fraud detection, sensor monitoring, anomaly detection, supply chain maintenance, location-based services, and much more.

This program is intended for software engineers looking to build real-time data processing proficiency, as well as data engineers looking to enhance their existing skill set with the next advancement in data engineering.