Главная
Study mode:
on
1
Intro
2
Technical Assistance
3
Relational and non-relational defined
4
Origins
5
Main differences (Relational)
6
Main differences (Non-relational or NoSQL)
7
Main differences (Hadoop)
8
ACID (RDBMS) vs BASE (NOSQL)
9
Relational stores
10
Key-value stores
11
Wide-column stores
12
Document stores
13
Graph store
14
Use cases for NoSQL categories
15
Focus of different data models
16
Use case for different database technologies
17
CAP Theorem
18
Microsoft data platform solutions
19
PolyBase Query relational and non-relational data with T-SQL
20
On-prem vs Cloud
21
Azure Product Categories
22
Hybrid
23
Summary
Description:
Explore the differences between relational databases, non-relational databases, and Hadoop in this comprehensive 1-hour conference talk presented by James Serra and moderated by Yusuf Kothari. Delve into the origins, main characteristics, and use cases for various database technologies, including key-value stores, wide-column stores, document stores, and graph stores. Learn about ACID vs BASE principles, the CAP Theorem, and how different data models address specific needs. Gain insights into Microsoft's data platform solutions, including PolyBase for querying both relational and non-relational data with T-SQL. Compare on-premises and cloud options, examine Azure product categories, and understand hybrid approaches. Conclude with a comprehensive summary to solidify your understanding of modern database technologies and their applications.

Relational Databases vs Non Relational Databases vs Hadoop

PASS Data Community Summit
Add to list