Breaking the Kubernetes Kill Chain: Host Path Mount
Web Briefing: Unlock the power of Hadoop to enable interactive analytics
1. Unlock the power of Hadoop
to enable interactive analytics
& real-time Business Intelligence July 10, 2013
2. Web Briefing:
Unlock the power of Hadoop
to enable interactive analytics
• Thank you for joining today’s session!
• The web briefing will start momentarily.
• We will use the WebEx Q & A feature
Today’s Slides are available at www.slideshare.net/kognitio
@Hortonworks
@Kognitio
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3. Unlock the power of Hadoop
to enable interactive analytics
July 10, 2013
Demonstration: SQL and Hadoop with in‐memory
MPP Acceleration ‐ Stuart Watt
Hadoop meets Mature BI: Interactive Analytics
‐ Michael Hiskey
Modern Data Architectures
‐ John Kriesa
Web Briefing Agenda
13. Hadoop meets Mature
BI: Interactive Analytics
Michael Hiskey
VP of Marketing & Business Development
@mphnyc
14. Mature Business Intelligence and Reporting
Numbers, tables, charts, indicators
…accessed with ease and simplicity
Historical information, latency
BI tools have plateaued
Decision Support
Advanced analytics and data science
More math…a lot more math
15. Drive for a deeper level of understanding
Dynamic
Simulation
Statistical
Analysis
Behavior
modellingReporting
Fraud
detection
create external script LM_PRODUCT_FORECAST environment rsint
receives ( SALEDATE DATE, DOW INTEGER, ROW_ID INTEGER, PRODNO INTEGER, DA
partition by PRODNO order by PRODNO, ROW_ID
sends ( R_OUTPUT varchar )
isolate partitions
script S'endofr( # Simple R script to run a linear fit on daily sales
prod1<-read.csv(file=file("stdin"), header
colnames(prod1)<-c("DOW","ID","PRODNO","DA
dim1<-dim(prod1)
daily1<-aggregate(prod1$DAILYSALES, list(D
daily1[,2]<-daily1[,2]/sum(daily1[,2])
basesales<-array(0,c(dim1[1],2))
basesales[,1]<-prod1$ID
basesales[,2]<-(prod1$DAILYSALES/daily1[pr
colnames(basesales)<-c("ID","BASESALES")
fit1=lm(BASESALES ~ ID,as.data.frame(bases
forecast<-array(0,c(dim1[1]+28,4))
colnames(forecast)<-c("ID","ACTUAL","PREDI
select Trans_Year, Num_Trans,
count(distinct Account_ID) Num_Accts,
sum(count( distinct Account_ID)) over (partition by Trans_Year order by Num_Tran
cast(sum(total_spend)/1000 as int) Total_Spend,
cast(sum(total_spend)/1000 as int) / count(distinct Account_ID) Avg_Yearly_Spend
rank() over (partition by Trans_Year order by count(distinct Account_ID) desc) R
rank() over (partition by Trans_Year order by sum(total_spend) desc) Rank_by_Tot
from( select Account_ID,
Extract(Year from Effective_Date) Trans_Year,
count(Transaction_ID) Num_Trans,
sum(Transaction_Amount) Total_Spend,
avg(Transaction_Amount) Avg_Spend
from Transaction_fact
where extract(year from Effective_Date)<2009
and Trans_Type='D'
and Account_ID<>9025011
and actionid in (select actionid from DEMO_FS.V_FIN_actions
where actionoriginid =1)
group by Account_ID, Extract(Year from Effective_Date)
) Acc_Summary
group by Trans_Year, Num_Trans
order by Trans_Year desc, Num_Trans;
select dept, sum(sales)
from sales_fact
Where period between date ‘01-05-2006’ a
group by dept
having sum(sales) > 50000;
select sum(sales)
from sales_history
where year = 2006 and month = 5 and regi
select total_sales
from summary
where year = 2006 and month = 5 and regi
18. Big Data: Bring the Analytics TO the Data
Kognitio Hadoop Integration
• Kognitio Map/Reduce Agent uploads itself to
Hadoop nodes
• Query passes selections, relevant predicates
• Data filtering & projection locally on each node
• Data filtered as it is read from file(s)
• Only data of interest is transferred and loaded
into memory via parallel load streams
21. Kognitio Snapshot: Mature SQL atop Hadoop
Kognitio is an in‐memory
analytical platform that is tightly
integrated with Hadoop for high‐
performance advanced analytics
that make Big Data more
consumable for enterprises,
especially those with mature BI
environments or engrained
tools.
• Privately held
• Invented the in‐memory analytical platform
• Labs in the UK ‐ HQ in New York, NY
• Powering advanced analytics at
organizations worldwide, such as:
23. Question & Answer session will be conducted electronically,
using the panel to the right of your screen
Today’s Slides available at: www.slideshare.net/kognitio
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Unlock the power of Hadoop to
enable interactive analytics
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