Xanadu is the most advanced big data platform technology developed by eMediaTrack in collaboration with researchers at Oxford University. Xanadu enables the NoSQL write-only (archiving) key-value-time database functionality with ACID properties. The ACID properties are essential for the mission-critical systems (e.g., financial services, healthcare services, national security intelligence). The ACID properties are also essential for many predictive analysis. Key-value-time store (time series of all key-value pairs) facilitates easy extraction and analysis based on multiple time series. Xanadu provides a highly scalable, available, fault tolerant, de-duplicated, immortal, and high performance big data store. Xanadu reduces the actual storage footprint by recognising duplicate data and maintaining only as many copies as it needs to assure its availability. Xanadu exploits the Distributed File System (DFS) technology using commodity servers and storage devices. Xanadu enables database with built-in massively parallel big data processing exploiting the DFS (Hadoop MapReduce being just one example). Xanadu enables real-time big data analytics. Xanadu enables Javascript-based, complex, integrated, parallel queries. This last feature lowers the entry barrier for developers using the most widespread web programming language to transform themselves into powerful, high-valued 'data scientists'. Xanadu Big Data, LLC is a holding company for Xanadu big data technology & IP monetization program development.

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Xanadu
Big Data Platform Technology
Introduction

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Index
-Overview
-Benchmark
-Use Cases
-Applications

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Xanadu is the most advanced big data platform technology developed
originally by eMediaTrack in collaboration with researchers at Oxford
University.
Overview
©2016 Xanadu Big Data, LLC All Rights Reserved
K
Data
Access
NoSQL
Database
Users
Query
Retrieve
Data
Access
Web &
Applications
Web, Application
Developers
Big Data
Analytics
Data Scientists
AnyTypes&SizeofData

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Xanadu enables the NoSQL write-only (archiving) key-value-time
database functionality with ACID properties.
NoSQL databases are designed to deliver faster performance than
traditional Relational Database Management Systems (RDBMS) in many
cases, particularly when big data is involved.
The ACID properties are essential for the mission-critical systems.
The ACID properties are also essential for many predictive analysis.
Key-value-time store (time series of all key-value pairs) facilitates easy
extraction and analysis based on multiple time series.
Overview
©2016 Xanadu Big Data, LLC All Rights Reserved

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Xanadu provides a highly scalable, available, fault tolerant, de-
duplicated, immortal, and high performance big data store.
Scalability enables speed and/or storage capacity grows linearly as
extra servers are added.
Xanadu reduces the actual storage footprint by recognizing duplicate
data and maintaining only as many copies as it needs to assure its
availability.
Immortal data is never deleted or modified once written.
Overview
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Xanadu exploits the Distributed File System (DFS) technology using
commodity servers and storage devices.
Overview

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Xanadu enables database with built-in massively parallel big data
processing exploiting the DFS (e.g., data intensive deep learning
applications).
Xanadu enables real-time big data analytics (e.g. Industrial IoT
applications).
Xanadu enables Javascript-based, complex, integrated, parallel
queries. This feature lowers the entry barrier for developers using the
most widespread web programming language to transform themselves
into powerful, high-valued 'data scientists.'
Xanadu provides a presentation layer to enable the insights of the big
data analytics to be presented on the web.
Overview

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Benchmark: Performance
Tests with Yahoo Cloud Storage Benchmarks on Rackspace cloud servers

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Benchmark: Scalability
Tests show that it is possible (with a new approach to fundamentals) to
introduce ACID properties while even improving performance.

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Use Case: SKA - Big Data Analysis
At SKA, the radio telescopes collect massive amount of data everyday - so called “Big Data”.
Xanadu helps radio astronomers to process information and answer some of the big questions about the Universe by deriving insight
from complex, large data sets.
3-Dimensional Source Finding
DuChamp Source Finder
Process Emulation
Xanadu_Analytics
Big
Data
NoSQL Database
Data De-duplication
Data Replication
Xanadu_Store
Reduced
&
Enhanced
Data
Archiving
Information Service
Report Generator
Data Management
Xanadu_Web
Data
Access
Data
Access
WebApp
MobileApp
-SKA Largest & Most Sensitive Radio Telescope1,000
petabytes/day, 1018 operations/sec
-theSkyNet Cloud Computing for Radio Astronomy Dataover 1
billion jobs processed in 2012
Data Science Xanadu provides powerful tools & APIs for processing data.
This provide a gateway through which Javascript programmers could develop
into fully fledged Data Scientists.

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Use Case: Xanadu with Kinetic/Ember System
Kinetic system is a simulator of Seagate where the data saves in system hard disk, where Ember system is a real
hardware works on Seagate software called KINETIC API.
.

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Application: Cloud Storage
WebApp
Storage Cloud Service
User Management
MobileApp
Anytime, Anywhere, Any Device Put files in Xanadu and get
to it from your computers, phones, or tablets.
Contents Management
Xanadu_Web
key-value
store
WebApp MobileApp
http
firewall
internet
NoSQL Database
Data De-duplication
Data Replication
Xanadu_Store
User can be in the
Cloud or Enterprises
Share with confidence Share your files with friends & work
with your team without worry of losing data. Data in Xanadu is
never deleted, but values are updated over time.
Immortal
Data Store

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NoSQL Database
Client Account
Xanadu_Store
Cargo Profile
Device Management
Location Data
Geographic Information
Location Tracking System
Xanadu_Web
Mobile Service
Web Service
Billing
Statistic Report
Data Feed
key-value
store
GPS / GLONASS
WCDMA / LTE VPN
WebApp MobileApp WebApp MobileApp
internet
User Administrator
Tracking Device Space-based satellite navigation system that
provides location and time information
Location Database to capture, store, manipulate,
analyze, manage, and present all types of
geographical data
Application: Location Tracking System

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Thank you