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1
Introduction
2
Bad Analogies
3
Data Exhaust
4
The Elizabethan Era
5
The Victorian Era
6
The Modern Era
7
Charles Cutter
8
Dewey Decimal System
9
Who Won
10
Organizing Principles
11
Database Analogies
12
Book Analogies
13
Data Life Cycle
14
Technical Debt
15
Database history
16
Join in memory
17
Loose coupling
18
Schema flexibility
19
Data consistency
20
Flexibility
21
No sequel databases
22
Tradeoffs
23
Consistency
24
Relational Models
25
Declarative Language
26
CostBased Optimizer
27
Pig Scripts
28
Singularity
29
Resource Efficiency
30
Workloads
Description:
Explore the evolution of data management and storage technologies in this thought-provoking conference talk from GOTO Aarhus 2014. Delve into the history of data organization, from the Elizabethan era to modern times, and critically examine popular industry analogies and buzzwords. Gain insights into the principles behind both old and new data management technologies, understanding how "post-relational" systems often draw from pre-relational concepts. Analyze the importance of data structure, schema, and the realities of organizational data usage over time. Learn to differentiate between truly innovative approaches and recycled ideas in data storage and retrieval. Discover how to make informed architecture decisions that avoid creating technical debt and ensure long-term system viability. Investigate topics such as performance, scalability, consistency, and the trade-offs involved in various database models, including relational and NoSQL systems.

Big Data, Bad Analogies

GOTO Conferences
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