database camp 2016 @ united nations, nyc - amir orad, ceo, sisense
TRANSCRIPT
In Chip Biz AnalyticsInnovation & Disruption
Amir Orad Sisense CEOJuly 2016
Quick Background
Inventor/co-founder of Cyber Analytics company Cyota (RSA)
CEO of $200M Financial Crime analytics company Actimize (NICE)
Leading Sisense to Simplify Complex Data Analytics
Columbia University MBA
What Do Five Data Geek Students Dream About
BEERS & CHIPS
Technology Disruption
Traditional BI
1995
In-Memory BI
2005
In-Chip BI
2015
Memory Bandwidth – Data Size vs Speed
Too SlowX50
X10
L1 cache L2 / L3 cache RAM DiskDistance from L1 = slowdown
Data Beer
IN ORDER TO UNDERSTAND IN-CHIP ANALYTICS
LET’S ASSUME THAT:
Memory bandwidth 2
L1 cache Home fridge Distance Immediate Customer
x1
L2 / l3 cache Shop Distance Bicycle Customer
x10
RamSupermarket Distance Car Customer
x50
Disk Brewery Distance Airplane Customer
If data equals beer then data storage units equals
Vectorization & Cache AwarenessL1
Cac
he
First
into
RAM
OP1004K
(Values) 1004K
(Values)1004K
(Values)
Result Vector
Push Back To RAM
1004K
(Values)
SIMD REGISTERApply Operation On 4/8 Data Elements Simultaneously
OPOP
Colu
mn
4
1004K
(Values)
Resu
lt Ve
ctor
1004K
(Values)
Colu
mn
1
1004K
(Values)
Colu
mn
21004K
(Values)
Colu
mn
3
1004K
(Values)
Our Technology In memory columnar
execution mode
CACHE aware query kernel
CACHE aware decompression
Instruction recycling & learning algorithms
LLVM based compiler with SIMD support
Full 64BIT support
Columnar storage
SPEED!STRATA AWARD
Analyzing 10TB of data In 10 seconds
On a single node on a standard Dell Server
Empowering growth, anywhere everywhere, on affordable HW
300% improvement in efficiency and speed with every new chip Intel releases vs. 30% industry average
1
3
9
Intel Chip Generation
Perfo
rman
ce In
dex
Sisense
Industry
Are We Solving the Real Problem?
Breaking an Assembly Line Tradition
Need DBA to build database
Define what data will be queried
Join tables upfront
Normalize and create a star schema
Why?
Surprising BenefitsHandle complex data faster, cheaper,
easier
Boost performance 10X-100X; Cut HW
reqs
Eliminate & simplify data preparations
Save precious DBA/IT time
Eliminate manual Join, Index, Star Schema
Fast to deploy; Agile to change
Self service for everyone - Biz & IT
Shrink TCO & time to insight
Technology Disruption Results
DW, OLAPComplex“Expensive” mash-upTB ScaleMonths
Traditional BI
1995
In-MemorySimple for BizManual mash-upGB ScaleWeeks
In-Memory BI
2005
In-ChipSimpler for Biz & ITAd-hoc mash-upTB ScaleDays
In-Chip BI
2015
Sisense Technology Disruption: Single StackTM and In-ChipTM
Single-StackTM
Replace 4 layers with 1 tool
Database, ETL
Analytics, Visualization
For Biz Users, no IT/DBA
NO hodgepodge of tools
In-ChipTM Patent pending Proprietary tech
In-Memory In-Chip analytics
NO need to:
Prepare data, schema
Define indexes, joins
Analytics CapabilitiesPRESCRIPTI
VEHow Can We Make it Happen?
PREDICTIVEWhat Will Happen?
DIAGNOSTIC
Why Did it Happen?
DESCRIPTIVE
What Happened?
FINANCIALS GROWTH
Compare monthly financials current to
previous year
ANOMALY DETECTION
Identify anomalies in attacks resulting in cyber incidents
MORTALITY RISK
Predict and segment patients based on risk of
diabetes
RECOMMENDATION
Optimize sales by recommending
products purchased
Exam
ples
A Dream Comes True – 1000+ Clients
Lessons Learned
Dream BIG
Refine, refine, refine benefits
Don’t automate, obliterate!
Disrupt, don’t improve
Thank You Demo
Free Trialwww.sisense.com