Artificial Intelligence & Data Science
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Data Streaming Nanodegree Program

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Course Report - Data Streaming Nanodegree Program

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

2 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

5 hours per week

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Teaching Type

Self Paced

Course Description

You will learn how to process real-time data using modern data engineering tools such as Apache Spark and Kafka. Understanding the components of data streaming systems is the first step. Then, you'll create a real-time analysis application. The streaming console will allow students to compile and run analytics as well as draw insight from the reports.

Course Overview

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Job Assistance

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Hands-On Training

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

To be successful in this program, you should have intermediate Python and SQL skills, as well as experience with ETL

What You Will Learn

Foundations of Data Streaming

Learn the fundamentals of stream processing

Streaming API Development and Documentation

Work with the Apache Kafka ecosystem, data schemas, ApacheAvro, Kafka Connect and REST proxy, KSQL, and Faust Stream Processing

Target Students

Anyone who meets the eligibility criteria can join this course

Course Instructors

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Ben Goldberg

Staff Engineer at Spothero

In his career as an engineer, Ben Goldberg has worked in fields ranging from Computer Vision to Natural Language Processing. At SpotHero, he founded and built out their Data Engineering team, using Airflow as one of the key technologies.
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David Drummond

VP of Engineering at Insight

David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.
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Judit Lantos

Senior Data Engineer at Netflix

Judit is a Senior Data Engineer at Netflix. Formerly a Data Engineer at Split, where she worked on the statistical engine of their full-stack experimentation platform, she has also been an instructor...
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Sean Murdock

Faculty Member, BYU - Idaho

Sean has worked as an Architect or Software Engineer for Columbia Ultimate, Firstsource Global, Intermountain Healthcare, General Motors, The Church of Jesus Christ, Northrup Grumman, Zions Bank, and...
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