Big Data LDN 2018: DELIVERING ON THE OPERATIONAL DATA WAREHOUSE PROMISE

Expandium
Actian Vector Case Study
Visit Actian’s booth 326

Expandium introduction
© 2018 Actian Corporation2
§Christophe Daguin
§Technical Director at Expandium
§13 years at Expandium

Who is Expandium
§ Expandium’s a French software company.
§ Founded in 2005.
§ > 50 employees.
§ Real time analysis tools for
telecommunications operators.
– Network troubleshooting
– Quality management
– Real-time Quality-of-Service (QoS) & Quality-of-Expertise
(QoE)
– Network optimisation
– Fraud detection
– Real-time dysfunction detection with alarms
– …..

Quick training in Telecom
Subs A Subs B

Cell site Cell siteSubs A Subs B

Cell site
Radio
controller
Radio
controller
Cell siteSubs A Subs B

Cell site
Radio
controller
Core network
Radio
controller

time
Cell site
Radio
controller
Core network
Radio
controller

time
I want to call
Cell site
Radio
controller
Core network
Radio
controller

time
I want to call
OK, give me your identity
Cell site
Radio
controller
Core network
Radio
controller

time
I want to call
I am subscriber A, I want to call subscriber B
Cell site
Radio
controller
Core network
Radio
controller

12
time
I want to call
OK, call allowed, wait till subs B is found
Cell site
Radio
controller
Core network
Radio
controller

13
time
I want to call
Cell site
Radio
controller
Core network
Radio
controller
Look for B

time
I want to call
Cell site
Radio
controller
Core network
Radio
controller
Look for B
Where are you ?

15
time
I want to call
Cell site
Radio
controller
Core network
Radio
controller
Look for B
Where are you ?
I’m here, ready to be called

time
I want to call
Cell site
Radio
controller
Core network
Radio
controller
Look for B
Where are you ?
B is ready

time
I want to call
Cell site
Radio
controller
Core network
Radio
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Look for B
Where are you ?
B is ready
B is found wait till he pick up

time
I want to call
Allo ?
Cell site
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B is ready
B is found wait till he pick up

Big Data
Analytics
Data Science Machine
Learning
REPORTINGDASHBOAR
DS
TRACING ACTIVITY ALARMS
TimeVault
Real time analysis
Vector on Hadoop
Storage for troubleshooting
Post-treatment
Real-time XDrs
Expandium UI Third-party BI solutions
Copernic (Kafka like)
Streaming plateform
Probes
Expandium eProbes or third party
CEM
Expandium solution

Our challenges
§ As close to real time as possible
§ Traffic increased 20% per year (for a carrier with 20 million subscribers
§ Transactions per day growing from 3.5 to more than 5 billion over 2 years
§ We enable analysis of an average of 10 days of transactions with around 50 billion transactions
§ Drill down from a general KPI to an individual call or message in a few seconds

Expandium’s experience with Actian
§ Actian Vector is able to scale to our
largest customers’ needs
§ Enables users to execute ad hoc queries
with performance penalties
§ Action Vector is extremely easy to
administer so we have no full time DBA
§ We could not have delivered the service
details our customers required with
traditional relational databases
§ Actian’s support and services have been
excellent

Operational Analytics Live TechTALK
Pradeep Bhanot
Analytics Marketing
Actian

Today’s Legacy Analytic Data Platforms are Breaking
Recent innovations including data lakes and cloud systems often miss the mark
Very expensive to
acquire, deploy
and maintain
Slow, unpredictable
performance
Poor
Time to Value
Data gets
stale quickly
Too rigid,
Vendor &
Cloud
Lock-in
Do not scale

The Operational Data Warehouse: The Next Big Thing
§ Data warehouses are great…at reporting yesterday’s data
§ Data lakes are great too….at being a low cost historical archives
because their query performance is so poor
§ Today all businesses need to harness data, all data in-the-moment.
§ The Operational Data Warehouse (ODW)…the power of a traditional
data warehouse, the scale of a data lake, the economics of the
cloud…..in a real-time solution that runs on commodity hardware or in
the cloud.
§ Actian Vector analytics database - Designed to power today’s
Operational Data Warehouse

Seizing the Data in-the-Moment opportunity
The Operational Data Warehouse (ODW)
§ Data warehouses are great…at reporting yesterday’s data
§ Data lakes are valuable too…. limited to low cost historical
archives because their query performance is so poor
§ Today all businesses need to harness data in more real-
time, i.e. Data in-the-moment.
§ ODW delivers the power of the traditional data
warehouse, the scale of a data lake, the economics of the
cloud…..in a real-time solution that runs on commodity
hardware or in the cloud.
Source Gartner, Inc. 2018
ODW
36 Confidential © 2018 Actian Corporation

ISVs
Custom
Apps
Actian Vector works in any enterprise, on any data
Business Users
Data Scientists &
Data Engineers
© 2018 Actian Corporation
Ingest data from
any source –
batch or streaming
Access data
anywhere
High speed
analytics for
every use case
Vector
Streaming & IoT
Remote Data Sources
Cloud Data &
Applications
Transactional
Enterprise Apps

A look under the hood
Single
Instruction
Multiple
Data
1. Vectorized Processing
Process
data in
chip – not
in RAM
2. Exploiting Chip Cache
Limit I/O
Zero
penalty
real time
updates
3. Second Gen Columnar
Maximize throughput
Vectorized decompression in chip
Typically 4-6:1 Compression Ratio
4. Smart Compression
Created Automatically – simplifies
schema
Quickly identify candidate data blocks
for solving queries
Minimize I/O
5. Storage Indexes
6. Multi-core Parallelism
Maximize concurrency, parallelism
and system resource utilization

Patent update capability enables the
Operational Data Warehouse (ODW)
§ Positional Delta Tree technology enables
no-penalty updates of analytic data
§ Few analytic solutions support updates at
all, and those that do incur a performance
penalty for subsequent operations
Actian Vector supports tighter coupling
between operational and analytic
systems, delivering more current data
values for better business decisions

Financial Analytics
Thomson Reuters financial & risk solutions deliver
critical news, information and analytics to the global
financial community – enabling transactions and
connecting communities of trading, investing,
financial and corporate professionals.
Challenge
§ Needed to meet the 20ms response time
requirement for the EIKON and ELECTRON data
and trading applications.
Solution
§ Actian Vector farm of 80 SMP servers
§ Each server hosts multiple client accounts
Results
§ Vector provides a hub for all the data used by
EIKON and ELECTRON applications
§ Meets the sub 20ms response time SLA for complex
queries

Corporate Performance Management
Challenge
The need for a real-time analytics for their finance and
operations staff to become proactive strategists.
Insightsoftware customers include Avon, Land O’ Lakes, Bic,
Johnson & Johnson, Hallmark, and Nintendo.
Insightsoftware Solution powered by Vector
Interfaces directly in real-time to ERP systems from Oracle, JD
Edwards and SAP.
Throughput increased by 50X, providing greater accuracy and
efficiency that saved one client over $500,000 per month and
another client over £4M in the first year.
41
Enabling Real-time Business Insights
Business Users
• Finance Dept
• Corp. Executives
Replicator
Vector
“The Vector engine is extremely performant. We
have queries that run 20-50 times faster than
running direct to the source data”
- Craig Strong, CTO/CPO, Insightsoftware
Client’s ERP System

French retailer Kiabi drives marketing success with Vector
Challenges
§ Kiabi’s existing legacy data management platform lacked
the proper structure, flexibility or scalability to support real-
time and historical analysis of sales and marketing data at
the massive scale required.
§ “We needed to do more data mining, to collect more data
and support predictive analytics on our markdowns so we
could improve our marketing campaigns proactively.
There wasn’t enough information in our data warehouse
to know which marketing offers were driving the best
results behind our markdowns. And this included both our
active and passive marketing offers.”
Outcomes
§ Analytics on sales data for 20 million customers
§ Querying 800 million records
§ Response times up to 200x faster than existing database
§ Scaling to terabyte data-sets
§ 10x reduction in physical data size
§ Migration path to Hadoop
“Actian Vector’s columnar parallel
processing architecture met our needs for
an analytic database solution. We saw that
we could scale to terabyte data-sets
without sacrificing performance, and we
could do it cost-effectively. Actian
performed so well we did not have to look
at competing solutions.”
– Jean-Francois Rompais, Head of IT
Architecture, Kiabi

The Automobile Association
The AA are one of the UK’s largest vehicle breakdown
and recovery services.
The car insurance business.
Challenge
The AA needed to price ‘request for quote’ messages
from insurance comparison sites within 2 seconds.
Their pricing analysts need to explore and model
insurance requests and quote data.
The Solution
The AA use Actian Dataflow and Actian Vector.
Outcomes
Solution meets the AA’s performance goals which
enables them to be compete effectively for new
business. Their analysts appreciate the ease by which
DataFlow ETL processes can be created and
maintained.

Leading e-commerce company optimizes pricing with
Vector
Challenges
§ Needed to analyze the relationship between price and
purchase in online store in near-real time in order to
provide more accurate recommendations for sellers
§ Their EDW couldn’t load or query the data quickly
enough
Outcomes
§ Improved seller satisfaction
§ Optimized revenue for both the seller and the company
by maximizing purchase prices
§ Delivered these results with a lower TCO than their legacy
EDW

Healthcare Use Case: Actian is a ”game changer” for
University of Oxford’s Clinical Trial Service Unit
Challenge
Extracting and analyzing data that pertains to the
causes, prevention and treatment of premature
death and disability worldwide, CTSU studies the
causes and treatments of chronic illnesses such
as cancer, heart disease and strokes – which
collectively account for the majority of adult
deaths in the developed world.
Solution
Actian Vector facilitates large-scale clinical trials
tracking over 5,000 attributes across 500K
people generating billions of data points and
provides researches with real-time insights into
the data.
“The first thing we noticed was
the speed at which you could do
aggregations, pivot the data the
way it needed to be and sum
the columns,” explains Martin
Bowes. “Vector did all that within
a few minutes instead of a few
days – it was simply astounding
to see such an improvement in
agility and performance.”
⎻ Marty Bowes, University of Oxford

Actian Vector ⎼ The world’s fastest analytic database
46
Independently tested by MCG using Berkeley AMPLab Big Data Benchmark
Actian Vector’s performance advantage over competition grows as data scales,
query complexity increases, and user concurrency increases
20X Faster 100X Faster10X Faster 14X Faster

Questions?
Visit Actian at booth 326
www.expandium .com

Big Data LDN 2018: DELIVERING ON THE OPERATIONAL DATA WAREHOUSE PROMISE

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Big Data LDN 2018: DELIVERING ON THE OPERATIONAL DATA WAREHOUSE PROMISE