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WhenTwo Seconds IsToo Long
A look at low latency, real-time analytics
VP Product Marketing
dai@acunu.com
@daiclegg
dai clegg
@daiclegg
The new data sources driving big data analytics
2
mobile marketing
social apps
infrastructure monitoring
batch reporting
exploratory analysis
data discovery
Batch AnalyticsOperational Intelligence
infrastructure fabric/logs
smart grids/smart meters
dfid tags, etc
social media
mobile apps
web clicks
Machine DataSocial Data
@daiclegg
TITLE HERE
3
the Big Data technology landscape
data mining/
data warehousing
quantitative
analytics
data access
@daiclegg
Subtitle
TITLE HERE
4
the Big Data technology landscape
hours minutes seconds milli-seconds
immediacy of results
complexity of analytics
use case
money-off
coupons
data mining/
data warehousing
quantitative
analytics
data access
‣ Identifies items that shoppers are likely to
buy in future visits
‣ Coupon redemption rates as high as 24%
@daiclegg
Subtitle
TITLE HERE
babies
5
the Big Data technology landscape
hours minutes seconds milli-seconds
immediacy of results
money-off
coupons
data mining/
data warehousing
quantitative
analytics
data access
complexity of analytics
use case
‣ Neo-natal infant monitoring
‣ 120 babies monitored
‣ 120k messages /second
@daiclegg
Subtitle
TITLE HERE
babies
6
the Big Data technology landscape
hours minutes seconds milli-seconds
immediacy of results
money-off
coupons
windmills
data mining/
data warehousing
quantitative
analytics
data access
complexity of analytics
use case
‣ 2.5 petabytes in Hadoop
‣ weather data, turbine operational data
‣ model weather to optimise wind farms
@daiclegg
Subtitle
TITLE HERE
babies
7
the Big Data technology landscape
hours minutes seconds milli-seconds
immediacy of results
money-off
coupons
windmills
data mining/
data warehousing
quantitative
analytics
data access
‣ Neo-natal infant monitoring
‣ 120 babies monitored
‣ 120k messages /second
‣ Global e-store
‣ Shopping cart session store
‣ 000s of transactions per second
shopping
carts
complexity of analytics
use case
@daiclegg
Subtitle
TITLE HERE
babies
shopping
carts
8
the Big Data technology landscape
hours minutes seconds milli-seconds
immediacy of results
money-off
coupons
windmills
data mining/
data warehousing
quantitative
analytics
data access
Hi-tech Mftg
‣ automated hi-tech assembly
‣ ‘000s of test readings per second
‣ comparing results to historic metrics
‣ monitoring the test stations’ performance
complexity of analytics
use case
@daiclegg
Subtitle
TITLE HERE
babies
shopping
carts
9
the Big Data technology landscape
hours minutes seconds milli-seconds
immediacy of results
money-off
coupons
windmills
data mining/
data warehousing
quantitative
analytics
data access
Hi-tech Mftg
taxis
complexity of analytics
use case
‣ Neo-natal infant monitoring
‣ 120 babies monitored
‣ 120k messages /second
‣ Real-time visibility of infrastructure
‣ Insight delivered into the cab
‣ Caught competitor ‘stealing’ web data
@daiclegg
Subtitle
TITLE HERE
babies
shopping
carts
10
the Big Data technology landscape
hours minutes seconds milli-seconds
immediacy of results
money-off
coupons
windmills
data mining/
data warehousing
quantitative
analytics
data access
Hi-tech Mftg
taxis
SMS Mktg
‣ ingesting 300m SMSs daily
‣ over 5000 events per second
‣ maintaining 90 days history per campaign
‣ Oracle/NetApp only supported 45 days
complexity of analytics
use case
@daiclegg
Subtitle
TITLE HERE
babies
shopping
carts
11
the Big Data technology landscape
hours minutes seconds milli-seconds
immediacy of results
money-off
coupons
windmills
data mining/
data warehousing
quantitative
analytics
data access
Hi-tech Mftg
taxis
SMS Mktg
X-factor
complexity of analytics
use case
‣ Neo-natal infant monitoring
‣ 120 babies monitored
‣ 120k messages /second
‣ 1000s of votes/boos/applauds per second
‣ “we were able to handle our problems with
$5,000 and a credit card.” - CTO, Tellybug
@daiclegg
Subtitle
TITLE HERE
babies
shopping
carts
12
the Big Data technology landscape
hours minutes seconds milli-seconds
immediacy of results
money-off
coupons
windmills
latest data,
historic context,
analytic insight
deep analytics
worth the wait
data mining/
data warehousing
quantitative
analytics
data access
Hi-tech Mftg
taxis
SMS Mktg
X-factor
just need put & get
just need recent data
complexity of analytics
use case
@daiclegg
the Acunu Analytics
13
Acunu
Analytics
delay text
delay text
Prod 4Prod 3Prod 2
Ventas Ron Rate
Ventas BSF
Ventas x VendedorMes en Curso
Cuentas Por
Cobrar
Cuentas Por
Pagar
Contabilidad
Prod 1
Acunu Analytics can ingest data,
at very high velocity, from any
source
The data is pre-processed, as
it arrives, to filter, transform
and enrich it with other
corporate data
And aggregated into roll-up
cubes of sums, averages, top k,
etc, so query answers are
already stored
Then, when a dashboard
query is executed, the
answer is there for instant
response
But not just
dashboards; there’s a
JSON API so queries
can be embedded in
other apps
And the original data is
stored for further analysis
and to share with other
analytic tools
ThankYou.
VP Product Marketing
dai@acunu.com
@daiclegg
dai clegg

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When Two Seconds Is Too Long

  • 1. WhenTwo Seconds IsToo Long A look at low latency, real-time analytics VP Product Marketing dai@acunu.com @daiclegg dai clegg
  • 2. @daiclegg The new data sources driving big data analytics 2 mobile marketing social apps infrastructure monitoring batch reporting exploratory analysis data discovery Batch AnalyticsOperational Intelligence infrastructure fabric/logs smart grids/smart meters dfid tags, etc social media mobile apps web clicks Machine DataSocial Data
  • 3. @daiclegg TITLE HERE 3 the Big Data technology landscape data mining/ data warehousing quantitative analytics data access
  • 4. @daiclegg Subtitle TITLE HERE 4 the Big Data technology landscape hours minutes seconds milli-seconds immediacy of results complexity of analytics use case money-off coupons data mining/ data warehousing quantitative analytics data access ‣ Identifies items that shoppers are likely to buy in future visits ‣ Coupon redemption rates as high as 24%
  • 5. @daiclegg Subtitle TITLE HERE babies 5 the Big Data technology landscape hours minutes seconds milli-seconds immediacy of results money-off coupons data mining/ data warehousing quantitative analytics data access complexity of analytics use case ‣ Neo-natal infant monitoring ‣ 120 babies monitored ‣ 120k messages /second
  • 6. @daiclegg Subtitle TITLE HERE babies 6 the Big Data technology landscape hours minutes seconds milli-seconds immediacy of results money-off coupons windmills data mining/ data warehousing quantitative analytics data access complexity of analytics use case ‣ 2.5 petabytes in Hadoop ‣ weather data, turbine operational data ‣ model weather to optimise wind farms
  • 7. @daiclegg Subtitle TITLE HERE babies 7 the Big Data technology landscape hours minutes seconds milli-seconds immediacy of results money-off coupons windmills data mining/ data warehousing quantitative analytics data access ‣ Neo-natal infant monitoring ‣ 120 babies monitored ‣ 120k messages /second ‣ Global e-store ‣ Shopping cart session store ‣ 000s of transactions per second shopping carts complexity of analytics use case
  • 8. @daiclegg Subtitle TITLE HERE babies shopping carts 8 the Big Data technology landscape hours minutes seconds milli-seconds immediacy of results money-off coupons windmills data mining/ data warehousing quantitative analytics data access Hi-tech Mftg ‣ automated hi-tech assembly ‣ ‘000s of test readings per second ‣ comparing results to historic metrics ‣ monitoring the test stations’ performance complexity of analytics use case
  • 9. @daiclegg Subtitle TITLE HERE babies shopping carts 9 the Big Data technology landscape hours minutes seconds milli-seconds immediacy of results money-off coupons windmills data mining/ data warehousing quantitative analytics data access Hi-tech Mftg taxis complexity of analytics use case ‣ Neo-natal infant monitoring ‣ 120 babies monitored ‣ 120k messages /second ‣ Real-time visibility of infrastructure ‣ Insight delivered into the cab ‣ Caught competitor ‘stealing’ web data
  • 10. @daiclegg Subtitle TITLE HERE babies shopping carts 10 the Big Data technology landscape hours minutes seconds milli-seconds immediacy of results money-off coupons windmills data mining/ data warehousing quantitative analytics data access Hi-tech Mftg taxis SMS Mktg ‣ ingesting 300m SMSs daily ‣ over 5000 events per second ‣ maintaining 90 days history per campaign ‣ Oracle/NetApp only supported 45 days complexity of analytics use case
  • 11. @daiclegg Subtitle TITLE HERE babies shopping carts 11 the Big Data technology landscape hours minutes seconds milli-seconds immediacy of results money-off coupons windmills data mining/ data warehousing quantitative analytics data access Hi-tech Mftg taxis SMS Mktg X-factor complexity of analytics use case ‣ Neo-natal infant monitoring ‣ 120 babies monitored ‣ 120k messages /second ‣ 1000s of votes/boos/applauds per second ‣ “we were able to handle our problems with $5,000 and a credit card.” - CTO, Tellybug
  • 12. @daiclegg Subtitle TITLE HERE babies shopping carts 12 the Big Data technology landscape hours minutes seconds milli-seconds immediacy of results money-off coupons windmills latest data, historic context, analytic insight deep analytics worth the wait data mining/ data warehousing quantitative analytics data access Hi-tech Mftg taxis SMS Mktg X-factor just need put & get just need recent data complexity of analytics use case
  • 13. @daiclegg the Acunu Analytics 13 Acunu Analytics delay text delay text Prod 4Prod 3Prod 2 Ventas Ron Rate Ventas BSF Ventas x VendedorMes en Curso Cuentas Por Cobrar Cuentas Por Pagar Contabilidad Prod 1 Acunu Analytics can ingest data, at very high velocity, from any source The data is pre-processed, as it arrives, to filter, transform and enrich it with other corporate data And aggregated into roll-up cubes of sums, averages, top k, etc, so query answers are already stored Then, when a dashboard query is executed, the answer is there for instant response But not just dashboards; there’s a JSON API so queries can be embedded in other apps And the original data is stored for further analysis and to share with other analytic tools