Data Streaming

Welcome to the Data Streaming Nanodegree Program

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

In this lesson students will learn what data streaming is. Students will learn the pros and cons of data streaming, and how it compares to traditional data strategies.

In this lesson we’ll review the architecture and configuration of Apache Kafka.

This lesson covers data schemas and data schema management, with a focus on Apache Avro.

This lesson covers producing and consuming data into Kafka with Kafka Connect and REST Proxy.

Learn to build real-time applications that instantly process events, the concepts of stream processing state storage, windowed processing, and stateful and non-stateful stream processing.

Students will learn how to use the Python stream processing library Faust to rapidly create powerful stream processing applications.

Learn how to write simple SQL queries to turn Kafka topics into KSQL streams and tables, and then write those tables back out to Kafka.

Introduction to Data Streaming with Spark

In this lesson, you'll learn about working with Spark Dataframes and views.

In this lesson, you'll learn how to work with JSON and complete Joins for data streaming.

This lesson will focus on working with Redis, Base64, and JSON in Data Streaming.