Data Architecture for Data Scientists

Data Architecture for Data Scientists, available at $69.99, has an average rating of 4.47, with 37 lectures, 7 quizzes, based on 484 reviews, and has 2287 subscribers.

You will learn about Data Architecture in general, to be able to navigate your organizations data landscape Develop understanding of topics like Data Lake, Datawarehousing and even Data Lakehouse to be able to communicate with data engineering teams Understand the pricinciples of data governance topics like Data Mesh to better navigate the data governance paradigm Get introduced to technologies related to machine learning specific data infrastructure like feature stores and vector databases What is data architecture? What is a data warehouse (DWH) ? What is data lake? What is data lakehouse? What is data mesh? How is streaming data used in data science? What is a feature store? How is a feature store used in machine learning? What are vector databases?? This course is ideal for individuals who are Data Scientists who are transitioning from academia or business domains or Junior data scientists who would like to understand the topics surrounding data infrastructure or Citizen data scientists who wish to deploy machine learning models in production or Anyone who wishes to learn the basics of data architecture in a very short time or BI Analysts and BI developers who would like a quick overview of the enterprise data landscape or Folks who wish to get a quick overview of data architecture components in an enterprise. It is particularly useful for Data Scientists who are transitioning from academia or business domains or Junior data scientists who would like to understand the topics surrounding data infrastructure or Citizen data scientists who wish to deploy machine learning models in production or Anyone who wishes to learn the basics of data architecture in a very short time or BI Analysts and BI developers who would like a quick overview of the enterprise data landscape or Folks who wish to get a quick overview of data architecture components in an enterprise.

Enroll now: Data Architecture for Data Scientists

Summary

Title: Data Architecture for Data Scientists

Price: $69.99

Average Rating: 4.47

Number of Lectures: 37

Number of Quizzes: 7

Number of Published Lectures: 37

Number of Published Quizzes: 7

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 44

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

• Data Architecture in general, to be able to navigate your organizations data landscape
• Develop understanding of topics like Data Lake, Datawarehousing and even Data Lakehouse to be able to communicate with data engineering teams
• Understand the pricinciples of data governance topics like Data Mesh to better navigate the data governance paradigm
• Get introduced to technologies related to machine learning specific data infrastructure like feature stores and vector databases
• What is data architecture? What is a data warehouse (DWH) ? What is data lake? What is data lakehouse? What is data mesh?
• How is streaming data used in data science? What is a feature store? How is a feature store used in machine learning? What are vector databases??

Who Should Attend

• Data Scientists who are transitioning from academia or business domains
• Junior data scientists who would like to understand the topics surrounding data infrastructure
• Citizen data scientists who wish to deploy machine learning models in production
• Anyone who wishes to learn the basics of data architecture in a very short time
• BI Analysts and BI developers who would like a quick overview of the enterprise data landscape
• Folks who wish to get a quick overview of data architecture components in an enterprise.

Target Audiences

• Data Scientists who are transitioning from academia or business domains
• Junior data scientists who would like to understand the topics surrounding data infrastructure
• Citizen data scientists who wish to deploy machine learning models in production
• Anyone who wishes to learn the basics of data architecture in a very short time
• BI Analysts and BI developers who would like a quick overview of the enterprise data landscape
• Folks who wish to get a quick overview of data architecture components in an enterprise.