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Data Science Foundations

Over the past few years, the database world has seen a plethora of new database types appear: document, key-value, graph, and columnar. In addition, data science professionals also have the old giant—relational database management systems (RDBMS)—as an option. Typical data science and analytics use cases have now expanded to text, social media, IoT, and the cloud. With so much to consider, how do you choose the right database for your specific data science project? This course can help by sharing what you need to know to make an informed decision.

Contents:

  • Introduction
  • 1. Roles of Databases in Data Science
  • 2. Database Types: Evaluation
  • 3. Use Cases
  • Conclusion
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Length 49m
Starts On Demand (Start anytime)
Cost $29/month (Access to entire library- free trial available)
From LinkedIn Learning
Instructor Kumaran Ponnambalam
Download Videos Only via the LinkedIn Learning mobile app
Language English
Subjects IT & Networking Data Science Programming
Tags IT Databases Big Data

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Rating Not enough ratings
Length 49m
Starts On Demand (Start anytime)
Cost $29/month (Access to entire library- free trial available)
From LinkedIn Learning
Instructor Kumaran Ponnambalam
Download Videos Only via the LinkedIn Learning mobile app
Language English
Subjects IT & Networking Data Science Programming
Tags IT Databases Big Data

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