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1 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved1 ©	Hortonworks	Inc.	2011	– 2017.	All	Rights	Reserved
EDW	Optimization:	A	Modern	Twist	to	an	Old	Favorite
How	Leading	Enterprises	Optimize	EDW	for	Fast,	Flexible,	Scalable	Insights
2 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Today’s	Speakers
Carter	Shanklin
Sr.	Director	Product	Management
Hortonworks
Josh	Klahr
VP,	Product	Management
AtScale
Chad	Wahlquist
Business	Solutions	Architect
Tyson	Foods
with	Special	Customer	Guest:
3 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Actionable	
Insights
Human	
Connections
Balanced
Supply	Chains
New	Products
&	Services
Operational
Efficiencies
Data	is	the	New	Currency
4 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
EDW	Optimization:	ETL	Offload
à The	Problem:
– EDWs	consume	between	50%	and	90%	of	
CPU	just	on	ETL/ELT	tasks.
– These	jobs	interfere	with	more	business-
critical	tasks	like	BI	and	advanced	analytics.
à The	Solution:
– Hive	and	HDP	deliver	ETL	that	scales	to	
petabytes.
– Syncsort	DMX-h	for	simple	drag-and-drop	ETL	
workflows.
– Economical	scale-out	processing	on	
commodity	servers.
à The	Result:
– Better	SLAs	for	mission-critical	analytics.
– Limit	EDW	expansion	or	retire	old	systems.
ETL/ELT
DATA
MART
DATA
LANDING	&
DEEP
ARCHIVE
CUBE
MART
END	USER
APPLICATIONS
APPLICATIONS
APPLICATIONS
END	USERS
AND	APPS
EDW	OPTIMIZATION	SOLUTION
5 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
EDW	Optimization:	Active	Archive
à The	Problem:
– Increasing	data	volumes	and	cost	pressure	
force	data	to	be	archived	to	tape.
– Archived	data	not	available	for	analytics,	or	
must	be	retrieved	at	great	expense.
à The	Solution:
– Adopting	Hadoop	delivers	cost	per	terabyte	
on	par	with	tape	backup	solutions.
– Data	in	Hadoop	can	be	analyzed	by	all	major	
BI	tools,	allowing	analytics	on	archive	data.
à The	Result:
– Data	always	available	for	analytics.
– Store	years	of	data	rather	than	months.
ETL/ELT
DATA
MART
DATA
LANDING	&
DEEP
ARCHIVE
CUBE
MART
END	USER
APPLICATIONS
APPLICATIONS
APPLICATIONS
END	USERS
AND	APPS
EDW	OPTIMIZATION	SOLUTION
6 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
EDW	Optimization:	Fast	BI	on	Hadoop
à The	Problem:
– Proprietary	EDW	systems	were	adopted	for	
Fast	BI	and	deep	slice-and-dice	analytics,	but	
EDW	prices	are	unsustainably	high.
à The	Solution:
– Interactive	SQL	is	a	reality	on	Hadoop	today.
– AtScale	Intelligence	Platform	adds	OLAP	
capabilities	for	deep	drilldown	at	scale.
à The	Result:
– Query	terabytes	of	data	in	seconds.
– Connect	your	favorite	BI	tools	like	Tableau	and	
Excel	through	SQL	and	MDX	interfaces.
– The	EDW	Optimization	Solution	is	tailor-made	
to	deliver	Fast	BI	on	Hadoop.
ETL/ELT
DATA
MART
DATA
LANDING	&
DEEP
ARCHIVE
CUBE
MART
END	USER
APPLICATIONS
APPLICATIONS
APPLICATIONS
END	USERS
AND	APPS
EDW	OPTIMIZATION	SOLUTION
7 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
The	Old	Way
Operational	Efficiencies
Hierarchical
Historical
Highly Aggregated
One-size-fits-all
The	New	Way
Engagement	&	Innovation
Multi-structured
Predictive
Agile &	Real-time
Context Sensitive
Transitioning	the	Enterprise	Data	Warehouse	(EDW)
8 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Hortonworks	Connected	Data	Platforms	and	Solutions
Hortonworks
Connection
Hortonworks	Solutions
Enterprise	Data
Warehouse	Optimization
Cyber	Security	and
Threat	Management
Internet	of	Things
and	Streaming	Analytics
Hortonworks	Connection
Subscription	Support
SmartSense
Premier	Support
Educational	Services
Professional	Services
Community	Connection
Cloud
Hortonworks	Data	Cloud
AWS HDInsight
Data	Center
Hortonworks	Data	Suite
HDFHDP
9 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
What	Challenges	Do	People	Face	Today?
Risky
Hadoop	requires	a	bunch	of	
new	skill	sets
It’ll	take	a	long	time
There’s	too	much	manual	coding	required
It’s	hard	to	integrate	to	
my	BI	tool	stack
10 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Introducing	the	Hortonworks	
Enterprise	Data	Warehouse	Optimization	Solution
à What	is	it:
– A	prescriptive	solution that	represents	a	bundle	of	software	and	fixed	services	to	enable	EDW	
workloads	on	an	HDP	platform.	
– Proof	of	value	for	an	EDW	Optimization	strategy
– The	solution	includes	Hortonworks	core	offering	of	HDP	support	as	well	as	Syncsort	and	AtScale,	
from	Hortonworks	as	the	single	vendor.
– An	opportunity	to	get	projects	going	and	to	expand/extend	value	of	HDP	data	lake.
11 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Hortonworks	EDW	Optimization	Solution	Components
Hadoop
Scalable	Storage	and	Compute
Hive	LLAP
High	Performance	SQL	Data	Mart
Fast,	scalable	SQL	analytics
Intelligent	in-memory	caching
12 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Hortonworks	EDW	Optimization	Solution	Components
Syncsort
High-Performance	
Data	Movement
Hadoop
Scalable	Storage	and	Compute
Hive	LLAP
High	Performance	SQL	Data	Mart
Source	Data	
Systems
Fast,	scalable	SQL	analytics
Intelligent	in-memory	caching
High	performance	data	import
from all	major	EDW	platforms
13 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Hortonworks	EDW	Optimization	Solution	Components
Syncsort
High-Performance	
Data	Movement
Hadoop
Scalable	Storage	and	Compute
Hive	LLAP
High	Performance	SQL	Data	Mart
AtScale	Intelligence	Platform
OLAP	Cubes	for	Higher	Performance
Source	Data	
Systems
Fast,	scalable	SQL	analytics
Intelligent	in-memory	caching
Define	OLAP	cubes	for	10x	faster	queries
Unified	semantic	layer	for	all	BI	tools
High	performance	data	import
from all	major	EDW	platforms
Pre-aggregated
data
...	Or,	full-fidelity
data
14 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Legacy	EDW	vs.	EDW	Optimization	Solution	with	Connected	Data	Platforms
15 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
66%
Two-thirds	view	Big	Data	as
“Strategic”	or	“Game	Changing”
Only	19%	consider	it	
“Experimental”	
66%
19%
ExperimentalStrategic	/		Game	
Changing
Big	Data:	No	Longer	an	Experiment
Source:	The	2016	Big	Data	Maturity	Survey	|	Link	for	Download	@	http://bit.ly/2haitdM
16 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Journey	of	Big	Data	and	Analytics
Operational	Efficiency
Cheap	Storage
ETL	Acceleration
Information	Advantage
Self-Service
Interactive	exploration
Operational	Agility
Rationalization	&	Agility
EDW	Optimization
Data	Science
17 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
BI	on	Big	Data	Trend	is	Growing
In	2015,	BI	overtook	ETL	as	the	
#1	workload	planned	for	Big	Data.	
Trend	continues	in	2016,	‘17	
Business	Intelligence	 #1	workload	
for	Big	Data
75%	plan	to	use	BI	on	Big	Data
Source:	The	2016	Big	Data	Maturity	Survey	|	Link	for	Download	@	http://bit.ly/2haitdM
18 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
18
The	Gap	Challenge	Between	Big	Data	and	BI
COMPLEX
SLOW
SLOW
MDX
EXTRACT
SQL
19 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Hortonworks	EDW	Optimization	Solution	Components
Syncsort
High-Performance	
Data	Movement
Hadoop
Scalable	Storage	and	Compute
Hive	LLAP
High	Performance	SQL	Data	Mart
AtScale	Intelligence	Platform
OLAP	Cubes	for	Higher	Performance
Source	Data	
Systems
Fast,	scalable	SQL	analytics
Intelligent	in-memory	caching
Define	OLAP	cubes	for	10x	faster	queries
Unified	semantic	layer	for	all	BI	tools
High	performance	data	import
from all	major	EDW	platforms
Pre-aggregated
data
...	Or,	full-fidelity
data
20 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Requirements	for	BI	on	Big	Data
Scale-out	data	processing	for	big	data
Interactive	query	response	time	for	analysts
Support	for	robust	multi-dimensional	analysis
An	open	interface	for	any	BI	front-end
21 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Tyson	Foods
• 12+	years	working	with	Data	&	Business	Intelligence
• Specialties	include:	Business	Intelligence,	Data	Warehousing,	Dimensional	Modeling,	
Data	Quality	&	Integration,	Performance	Tuning,	ETL,	MS	SQL	Server,	MS	Integration	
Services	(SSIS),	IBM	DB2,	iSeries	(AS/400)
Chad	Wahlquist
Business	Solutions	Architect
Tyson	Foods
22 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Tyson Foods
• 300	facilities	across	27	states
• 42.5M	chickens,	170K	cattle,	347	pigs…every	week
• 20+	Loved	Brands	including…	Tyson,	Hillshire	Farms,	Sara	
Lee,	Jimmy	Dean,	Ball	Park,	Aidell’s,	and	more
• Value	and	growth	through	acquisition…20	M&A	to	date
Tyson	Foods	
Keeping	it	Real	since	1935
In	life,	as	in	chicken,	it’s	always	better	when	you	just	keep	it	real.	No	filler.	No	
nonsense.	Just	stick	to	the	good	stuff.	The	100%	real	stuff.	The	simple	things	
that	make	life,	and	chicken,	great.	
Keep	it	real.	Keep	it	Tyson.
23 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
How Do You Know You Have (Big Data) Problem?
24 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
Where Should You Start?
25 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
How Do You Show Success?
26 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
OUR	PROOF	OF	CONCEPT	MODEL
27 ©	Hortonworks	Inc.	2011	– 2016.	All	Rights	Reserved
OUR	QUICK	WIN:			
Built	out	integrated	reporting	across	all	acquisitions,	in	only	3	weeks.
Thank	you	&	Get	Started	Today
1-855-8	HORTON
hortonworks.com/contact-sales/
hortonworks.com/solutions/
edw-optimization/	
twitter.com/hortonworks
Hortonworks.com/blog
Contact	
Us
Learn	
More
Keep	in	
Touch
1-650-204-4959
info@atscale.com
info.atscale.com/business-
intelligence-on-hadoop
twitter.com/atscaleinc
blog.atscale.com/

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