2018 BDTC (Big Data Technology Conference) Keynote by Haoyuan Li (Alluxio Founder & CEO)

1. Alluxio –Virtual Unified File System
Li Haoyuan – Founder and CEO at Alluxio
haoyuan@alluxio.com

2. The Global Datasphere will grow from
33 ZB in 2018 to 175 ZB by 2025
China’s Datasphere is expected to grow 30% on average
over the next 7 years &
will be the largest Datasphere of all regions by 2025
Source: IDC White Paper – #US44413318

3. We are in the era where
Data is your biggest asset

4. Extracting maximum value from your data
The Data Ecosystem Evolution

5. Data Ecosystem - Beta Data Ecosystem 1.0
COMPUTE
STORAGE STORAGE
COMPUTE

6. Data Ecosystem 1.0 – The Challenges
STORAGE
COMPUTE
Complex
Low performance
Expensive

7. 3 big trends driving the need for a new architecture
Separation of
Compute &
Storage
Hybrid –Multi
cloud
environments
Self-service data
across the
enterprise

8. The Data Architecture for the Digital Future

9. Core requirements of 2.0 data ecosystem
Unified Memory-first Native APIs Multi-hybrid cloud

10. AVirtual Unified File System

11. Virtual Unified File System
Java File API HDFS Interface S3 Interface REST APIFUSE Interface
HDFS Driver Swift Driver S3 Driver NFS Driver

12. Unified
Namespace
Bring all files into a
single interface
Interact with data
using any API
Accelerate & tier
data transparently
API
Translation
Intelligent
Multi-tiering
Key Innovations of theVirtual Unified File System

13. Unified Namespace: Global Data Accessibility
FUSE Interface makes all enterprise data available locally
SUPPORTS
• HDFS
• NFS
• OpenStack
• Ceph
• Amazon S3
• Azure
• Google Cloud
IT OPS FRIENDLY
• Storage mounted into Alluxio
by central IT
• Security in Alluxio mirrors
source data
• Authentication through
LDAP/AD
• Wireline encryption
HDFS #1
Object Store
NFS
HDFS #2

14. Server-side API Translation: From legacy to modern
Convert from Client-side Interface to native Storage Interface
Java File API HDFS Interface S3 Interface REST APIFUSE Interface
HDFS Driver Swift DriverS3 Driver NFS Driver

15. Intelligent Multi-tiering: Get high-value data faster
Local performance from remote data using multi-tier storage
Hot Warm Cold
RAM SSD HDD
Read & Write Buffering
Transparent to App
Policies for pinning,
promotion/demotion,TTL

16. Real world Use cases

17. Virtual
Data Lake
§ Accelerate batch, micro-
batch & streaming jobs
§ Slowly transition to
lower cost object stores
§ Run in hybrid cloud
environment with
compute in the cloud
§ Accelerate ML jobs
running on object stores
or file systems
§ Provide consistent
performance to data
scientists
§ Provide unified interface
to access all data
§ Accelerate & tier data
transparently across
storage tiers
§ Co-locate remote data
with compute for
performance
Machine Learning
Productivity
Self-service data
across hybrid cloud
Popular Technical Use Cases

18. 100+ Known Production Deployments
Massive clusters deployed, many with 500+ nodes

19. Financial Services Case Study
Machine Learning Use Case
Challenge –
Gain end to end view of business
with large volume of data
Queries were slow / not interactive,
resulting in operational inefficiency
Solution –
ETL Data from Teradata to Alluxio
Impact –
Faster Time to Market – “Now we
don’t have to work Sundays”
SPARK
TERADATA
SPARK
TERADATA

20. Retail Case Study
Customer Analytics Use Case
Challenge –
Bottleneck in Trend Analysis of
mission critical daily sales and
inventory management
Queries were slow / not interactive,
resulting in operational inefficiency
Solution –
With Alluxio, data queries are 10X
faster
Impact –
Higher operational efficiency
SPARK
HDFS
SPARK
HDFS

21. Telecom Case Study
Customer 360 Insights
Challenge –
Desired a central view of consumer
information in near real time for
proactive support.
Many HDFS, different distributions,
many incompatible versions. On-
prem & cloud. Integration through
heavy ETL.
Solution –
Alluxio integrates data into central
catalog for fast access to consumer
interaction records.
Impact –
Reduced integration time
Faster data speed & freshness
HADOOP ML HADOOP
HDFS HDFS HDFS
ML
ETL
HDP
HDFS
CDH
HDFS
MAPR
HDFS
HDFS

22. Machine Learning / Deep Learning –
Maximizes GPU investment:
• Self-serve data access for data
scientists
• Rapid integration of new data
sources
• Improved memory management &
performance

23. Incredible Open Source Momentum with growing community
920+ contributors &
growing
3760+ Git Stars
Apache 2.0 Licensed
Hundreds of thousands
of downloads
Download Alluxio today @ www.alluxio.org

24. ThankYou
Join the Alluxio Community
www.alluxio.org | www.alluxio.com | Twitter: @alluxio