Главная
Study mode:
on
1
Intro
2
About Tachyon
3
More than 170 contributors
4
Fedora distribution
5
Comparison
6
Community
7
Contributors Users
8
Stack
9
Performance
10
Price Trend
11
Spark
12
Hana
13
How does Tachyon work
14
Two features
15
Architecture
16
Lineage
17
Spark example
18
Spark issues
19
Tachyon solution
20
Memory in Spark
21
Memory in Tag
22
Application duplication
23
Solution
24
Production Use Case
25
Sauce Company Use Case
26
New Features
27
Benefits of Tachyon
28
Tiered Storage Concept
29
Storage Tier Configuration
30
Policy
31
Transparent Naming
32
Unified Naming
33
Remote Right
34
Tachyon Deployment
35
Tachyon Security
36
Collaboration
37
Questions
Description:
Explore the real-world applications of Tachyon, a memory-centric distributed storage system, in this 40-minute Devoxx conference talk. Discover how Tachyon addresses the storage bottleneck in big data processing by enabling reliable file sharing at memory-speed across cluster frameworks like Apache Spark, MapReduce, and Apache Flink. Learn about Tachyon's architecture, key features, and performance benefits, including its Hadoop compatibility and fault-tolerance capabilities. Examine production use cases, such as the Sauce Company implementation, and understand how Tachyon integrates with existing big data ecosystems. Delve into new features, tiered storage concepts, and deployment strategies. Gain insights into Tachyon's growing community, with over 170 contributors from major tech companies, and its role in the Berkeley Data Analytics Stack and Fedora distribution.

Real World Use Cases for Tachyon - A Memory-Centric Distributed Storage System

Devoxx
Add to list
0:00 / 0:00