Big Data Biz AnalyticsInnovation & Disruption

Amir Orad Sisense CEOFeb 2016

Quick Background

Inventor/co-founder of Risk Based Authentication 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

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 Benefits

Handle complex data faster, cheaper,

easier

Boost performance 10X-100X; Cut HW

reqs

Eliminate & simplify data preparations

NO DBA, 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

A Dream Comes True – 1000+ Clients

Recent Enhancement - R

Most time wasted on data prep

Democratize advance analytics

Lessons Learned

Dream BIG

Refine, refine, refine benefits

Don’t automate, obliterate!

Disrupt, don’t improve

Thank You Try It OutFree Trial

www.sisense.com

Thank you