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1
Intro
2
Definition of Reference Data
3
Example of Reference Data
4
Moores Law
5
Encyclopedia Britannica
6
Wikipedia
7
Accessing Reference Data
8
The Model
9
Publishing Reference Data
10
Recovery
11
Operational Flexibility
12
Dependent Clusters
13
Scala Interface
14
Request Handler Interface
15
Update Path
16
Read Path
17
Key Value Interface
18
Compacting During Deployment
19
Compacting in the Background
20
Pseudocode
21
Wrap Up
22
X2 Interface
23
Native Data Structures
24
Persistence Replay
25
Open Source
26
Mirror vs Cache
27
Serialization
28
Cluster Management
29
Questions
30
Bootstrapping Reference Data
31
How many keys do you need
32
Ordering of updates
Description:
Explore the concept of managing reference data with Sirius in this Philly ETE 2014 conference talk. Learn about the definition of reference data and its applications, understand how Moore's Law impacts data management, and discover the architecture of Sirius-based applications. Dive into a case study from Comcast showcasing Sirius's capabilities in serving millions of customers. Gain insights into accessing and publishing reference data, operational flexibility, and cluster management. Examine the Scala and request handler interfaces, update and read paths, and key-value operations. Understand compacting strategies, native data structures, and persistence replay. Discover the open-source nature of Sirius and explore topics such as serialization, bootstrapping reference data, and update ordering.

Managing Reference Data with Sirius - Not-So-Big Data After All

ChariotSolutions
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