SlideShare a Scribd company logo
1	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Powering	
  the	
  
Future	
  of	
  Data	
  
Pasi	
  Vuorela	
  
Nordic	
  Sales	
  Manager	
  
2	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
EMBRACE	
  AN	
  OPEN	
  
APPROACH	
  	
  
MASTER	
  THE	
  VALUE	
  
OF	
  DATA	
  
EVERY	
  BUSINESS	
  	
  
IS	
  A	
  DATA	
  BUSINESS	
  
3	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
The	
  Growth	
  of	
  the	
  Flow	
  of	
  Data	
  
Much	
  of	
  the	
  new	
  data	
  
exists	
  in-­‐flight	
  between	
  
systems	
  and	
  devices	
  as	
  
part	
  of	
  the	
  Internet	
  of	
  
Anything	
  NEW	
  
TRADITIONAL	
  
Ability	
  to	
  consume	
  data	
  
The Opportunity
Unlock	
  transformaKonal	
  business	
  value	
  
from	
  a	
  full	
  fidelity	
  of	
  data	
  and	
  analyKcs	
  
for	
  all	
  data.	
  
GeolocaKon	
  
Server	
  logs	
  
Files	
  &	
  emails	
  
ERP,	
  CRM,	
  SCM	
  
TradiFonal	
  Data	
  Sources	
  
Internet	
  of	
  Anything	
  
Sensors	
  
and	
  machines	
  
Clickstream	
  
Web	
  &	
  social	
  
4	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Data	
  Unleashed:	
  More	
  Volume	
  &	
  More	
  Types	
  
I N C R E A S I N G D A T A V A R I E T Y A N D C O M P L E X I T Y
USER GENERATED CONTENT
MOBILE WEB
SMS/MMS
SENTIMENT
EXTERNAL
DEMOGRAPHICS
HD VIDEO
SPEECH TO TEXT
PRODUCT/
SERVICE LOGS
SOCIAL NETWORK
BUSINESS
DATA FEEDS
USER CLICK STREAM
WEB LOGS
OFFER HISTORY DYNAMIC PRICING
A/B TESTING
AFFILIATE NETWORKS
SEARCH MARKETING
BEHAVIORAL TARGETING
DYNAMIC FUNNELSPAYMENT
RECORD
SUPPORT
CONTACTS
CUSTOMER
TOUCHESPURCHASE
DETAIL
PURCHASE
RECORD
SEGMENTATIONOFFER DETAILS
PETABYTES
TERABYTES
GIGABYTES
EXABYTES
E R P
B I G D ATA
W E B
C R M
I O T D ATA
SENSORS INFOTAINMENT SYSTEMS WEARABLE DEVICES
CYBER
SECURITY LOGS
CONNECTED
VEHICLES
MACHINE DATA
ZETTABYTES
5	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Blind	
  Spots	
  Block	
  Your	
  Ability	
  to	
  Use	
  All	
  the	
  Data	
  
GROUP	
  3	
  
GROUP	
  2	
   GROUP	
  4	
  
GROUP	
  1	
  
INTERNET	
  
OF	
  
ANYTHING	
  
Fragmented	
  data-­‐at-­‐rest	
  	
  
increases	
  the	
  cost	
  of	
  insight	
  
Data-­‐in-­‐moKon	
  streams	
  
through	
  your	
  blind	
  spots	
  
6	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
AcFonable	
  Intelligence	
  from	
  
Connected	
  Data	
  PlaSorms	
  
Ã  Capturing	
  perishable	
  	
  
insights	
  from	
  data	
  in	
  moKon	
  
Ã  Ensuring	
  rich,	
  historical	
  insights	
  
on	
  data	
  at	
  rest	
  
Ã  Necessary	
  for	
  modern	
  
data	
  applicaKons	
  
DATA	
  AT	
  REST	
  
DATA	
  IN	
  
MOTION	
  
ACTIONABLE	
  
INTELLIGENCE	
  
Modern	
  Data	
  ApplicaFons	
  
Hortonworks	
  	
  
DataFlow	
  
Hortonworks	
  	
  
Data	
  PlaSorm	
  
7	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Connected	
  Data	
  PlaSorms	
  Enable	
  Architectural	
  TransformaFons	
  
Data	
  in	
  
MoFon	
  
(Cloud)	
  
Data	
  in	
  
MoFon	
  
(on-­‐premises)	
  
Data	
  at	
  
Rest	
  
(on-­‐premises)	
  
Edge	
  
Data	
  
Data	
  in	
  
MoFon	
  
Edge	
  
AnalyFcs	
  
Data	
  at	
  
Rest	
  
(Cloud)	
  
Edge	
  
Data	
  
Data	
  at	
  
Rest	
  
(on-­‐premises)	
  
Closed	
  Loop	
  
AnalyFcs	
  
Machine	
  
Learning	
  
Deep	
  
Historical	
  
Analysis	
  
8	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Hortonworks®	
  customers	
  leverage	
  our	
  Connected	
  Data	
  Pla[orms	
  to	
  transform	
  their	
  
industries	
  –	
  renovaKng	
  their	
  IT	
  architectures	
  and	
  innovaKng	
  with	
  their	
  Data	
  in	
  MoKon	
  	
  
or	
  Data	
  at	
  Rest	
  to	
  power	
  acKonable	
  intelligence	
  through	
  Modern	
  Data	
  ApplicaKons.	
  
Social	
  
Mapping	
  
Payment	
  
Tracking	
  
Factory	
  
Yields	
  
Defect	
  
DetecKon	
  
Call	
  Analysis	
  
Machine	
  
Data	
  
Product	
  
Design	
  
M	
  &	
  A	
  
Due	
  
Diligence	
  
Next	
  Product	
  
Recs	
  
Cyber	
  
Security	
  
Risk	
  
Modeling	
  
Ad	
  
Placement	
  
ProacKve	
  
Repair	
  
Disaster	
  
MiKgaKon	
  
Investment	
  
Planning	
  
Inventory	
  
PredicKons	
  
Customer	
  
Support	
  
SenKment	
  
Analysis	
  
Supply	
  Chain	
  
Ad	
  
Placement	
  
Basket	
  
Analysis	
  
Segments	
  
Cross-­‐	
  
Sell	
  
Customer	
  
RetenKon	
  
Vendor	
  
Scorecards	
  
OpKmize	
  
Inventories	
  
OPEX	
  
ReducKon	
  
Mainframe	
  
Offloads	
  
Historical	
  
Records	
  
Data	
  
as	
  a	
  Service	
  
Public	
  
Data	
  Capture	
  
Fraud	
  
PrevenKon	
  
Device	
  Data	
  
Ingest	
  
Rapid	
  
ReporKng	
  
Digital	
  
ProtecKon	
  
8	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
9	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Renovation Examples
We’ve helped hundreds of customers
optimize their data architectures:
•  Major US retailer – were spending $50k/TB on
EDW, 37% of processing was ETL
•  Major global bank – avoided $46 mil EDW
expansion
•  British Airways – moved 75% of data out of
EDW into HDP
•  Centrica British Gas – avoided 5 mil GBP EDW
expansion and enriched environment with smart
meter data
•  TrueCar – $0.23/GB with HDP vs. $19/GB with
traditional EDW
•  Neustar – moved from keeping 1% of data for 65
days to keeping 100% for 2 years+
10	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Merck’s	
  Journey	
  
The	
  Golden	
  
Batch	
  
ScienFfic	
  Search	
  
Sensor	
  Data	
  Storage	
  
Vaccine	
  Yield	
  
OpFmizaFon	
  
Innovate
Renovate
The	
  Journey	
  to	
  	
  
the	
  Golden	
  Batch	
  
Ã Combined	
  10	
  years	
  data	
  on	
  
one	
  vaccine:	
  1	
  billion	
  records	
  	
  
Ã 5.5	
  million	
  batch	
  comparisons	
  
Ã 1st	
  year	
  yield	
  boost	
  of	
  40K	
  more	
  
doses	
  à	
  $10M	
  profit	
  impact	
  	
  	
  	
  
Ã McKinsey:	
  50%	
  yield	
  increase	
  
Epidemiology	
  
11	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Symantec’s	
  Journey	
  
Digital	
  Security	
  
Metadata	
  
Capture	
  
Threat	
  	
  
PredicKons	
  
Aiacker	
  	
  
DetecKon	
  
Unified	
  
Security	
  
Security	
  Log	
  
Analysis	
  
Threat	
  	
  
Archive	
  
Device	
  Data	
  
Ingest	
  
Threat	
  
DetecKon	
  
Greenplum	
  
Offload	
  
Innovate	
  
Renovate	
  
Data	
  Science	
  Speeds	
  	
  
Time	
  to	
  ProtecFon	
  
Ã  Threat	
  detecKon	
  latency	
  reduced	
  
from	
  4	
  hours	
  to	
  2	
  seconds	
  
Ã  Time	
  to	
  protecKon	
  improved	
  5000x	
  	
  
Ã  Machine	
  learning	
  over	
  tens	
  	
  
of	
  petabytes	
  of	
  historical	
  data	
  
predicts	
  threats	
  to	
  customers	
  
Ã  Cloud	
  team	
  uses	
  Ambari	
  and	
  
Cloudbreak	
  for	
  dynamic	
  clusters	
  	
  
to	
  meet	
  peak	
  workloads	
  
12	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Case	
  Study	
  
Mercy’s	
  Journey	
  
Beier	
  Health	
  
Billing	
   Vital	
  Sign	
  
Monitoring	
  
Single	
  
PaFent	
  
Record	
  
Lab	
  Notes	
  
Archive	
  
Privacy	
  
Database	
  
Medical	
  	
  
Decision	
  
Support	
  
Device	
  
Data	
  
Ingest	
  
PrevenFve	
  
Care	
  
Epic	
  
Enrichment	
  
OPEX	
  
Efficiency	
  
Epic	
  EMR	
  
ReplicaFon	
  
Innovate	
  
Renovate	
  
Be^er	
  Health	
  
Through	
  Data	
  
Ã  Searches	
  of	
  free-­‐text	
  lab	
  notes,	
  
speed	
  researcher	
  insight	
  from	
  
“never”	
  to	
  “seconds”	
  	
  
Ã  Ingest	
  of	
  ICU	
  vital	
  signs	
  
increased	
  by	
  900X,	
  lemng	
  
clinicians	
  respond	
  more	
  quickly	
  
Ã  Mercy	
  is	
  building	
  real-­‐Kme	
  
tools	
  to	
  support	
  surgical	
  
decisions	
  and	
  prevenKve	
  care	
  
13	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Case	
  Study	
  
Progressive’s	
  Journey	
  
Rewarding	
  Safer	
  Drivers	
  and	
  
Improving	
  Traffic	
  Safety	
  
Ã  Snapshot	
  plug-­‐in	
  devices	
  capture	
  
driving	
  detail	
  
Ã  Progressive	
  stores	
  more	
  than	
  
10	
  billion	
  miles	
  driven	
  
Ã  Through	
  a	
  web	
  app,	
  customers	
  can	
  
review	
  their	
  own	
  driving	
  detail	
  and	
  
improve	
  their	
  safety	
  
Ã  Snapshot	
  and	
  usage-­‐based	
  insurance	
  
drove	
  $2.6	
  billion	
  in	
  2014	
  Progressive	
  
premiums	
  
Innovate
Renovate
Safe	
  Roads	
  
Claims	
  Notes	
  
Mining	
  
Individual	
  
Driving	
  
Histories	
  
Usage-­‐Based	
  
Insurance	
  (UBI)	
  
Web	
  Log	
  
Analysis	
  
Online	
  Ad	
  
Placement	
  
Sensor	
  Data	
  
Ingest	
  
14	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
The	
  Hortonworks	
  SoluFon	
  
Powering	
  the	
  Future	
  of	
  Data	
  
15	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
DATA	
  AT	
  REST	
  DATA	
  IN	
  MOTION	
  
ACTIONABLE	
  
INTELLIGENCE	
  
Modern	
  Data	
  ApplicaFons	
  
PERISHABLE	
  
INSIGHTS	
  
HISTORICAL	
  
INSIGHTS	
  
INTERNET	
  
OF	
  
ANYTHING	
  
Hortonworks	
  	
  
DataFlow	
  
Hortonworks	
  	
  
Data	
  PlaSorm	
  
Hortonworks	
  Delivers	
  
Connected	
  Data	
  PlaSorms	
  
16	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Secure	
  
Real-­‐Fme	
  
AdapFve	
  
Integrated	
  
Hortonworks	
  DataFlow	
  for	
  Data	
  in	
  MoFon	
  
Powered	
  by	
  Apache	
  NiFi	
  
17	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
A	
  SimplisFc	
  View	
  of	
  Enterprise	
  Data	
  Flows	
  
The Data Flow Thing
Process and
Analyze Data
Acquire Data
Store Data
18	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
A	
  RealisFc	
  View	
  of	
  Enterprise	
  Data	
  Flow	
  
19	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Real-­‐Time,	
  Visual	
  Control	
  of	
  Data	
  Flows	
  
Add	
  and	
  Adjust	
  Data	
  Sources	
  
to	
  maximize	
  the	
  opportunity	
  that	
  you	
  
capture	
  from	
  perishable	
  insights	
  
Visually	
  Trace	
  the	
  Data	
  Path	
  
to	
  manage	
  the	
  what,	
  who,	
  where	
  and	
  	
  
how	
  around	
  data	
  in	
  moKon	
  
Dynamically	
  Adjust	
  the	
  Pipeline	
  
to	
  match	
  the	
  dataflow	
  with	
  your	
  bandwidth	
  
H O R T O N W O R K S 	
  
D A T A F L O W 	
   Add	
  and	
  adjust	
  
data	
  sources	
  
Visually	
  trace	
  
the	
  data	
  path	
  
Dynamically	
  
adjust	
  the	
  
pipeline	
  
20	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Hortonworks	
  Data	
  PlaSorm	
  for	
  Data	
  at	
  Rest	
  
Powered	
  by	
  Open	
  Enterprise	
  Hadoop	
  
Open	
  
Interoperable	
  
Ready	
  
Central	
  
21	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
100%	
  Open	
  Source	
  Connected	
  Data	
  PlaSorms	
  
M A X I M U M 	
   C O M M U N I T Y 	
   I N N O V A T I O N 	
  
T H E 	
  
I N N O V A T I O N 	
  
A D V A N T A G E 	
  
P R O P R I E T A R Y 	
  
H A D O O P 	
  
T I M E 	
  
INNOVATION	
  
O P E N 	
   C O M M U N I T Y 	
  
Eliminates	
  Risk	
  
of	
  vendor	
  lock-­‐in	
  by	
  delivering	
  
100%	
  Apache	
  open	
  source	
  technology	
  
Maximizes	
  Community	
  InnovaFon	
  
with	
  hundreds	
  of	
  developers	
  across	
  
hundreds	
  of	
  companies	
  
Integrates	
  Seamlessly	
  
through	
  commiied	
  co-­‐engineering	
  
partnerships	
  with	
  other	
  leading	
  technologies	
  
22	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
100%	
  Open	
  Approach	
  =	
  Fastest	
  Path	
  to	
  InnovaFon	
  
HORTONWORKS	
  DATA	
  PLATFORM	
  
	
  	
  	
  Hadoop	
  &	
  
	
  	
  	
  YARN	
  	
  
	
  	
  Flume	
  
	
  	
  Oozie	
  
	
  	
  Pig	
  
	
  	
  Hive	
  
	
  	
  Tez	
  
	
  	
  Sqoop	
  
	
  	
  Cloudbreak	
  
	
  	
  Ambari	
  
	
  	
  Slider	
  
	
  	
  Kaga	
  
	
  	
  Knox	
  
	
  	
  Solr	
  
	
  	
  Zookeeper	
  
	
  	
  Spark	
  
	
  	
  Falcon	
  
	
  	
  Ranger	
  
	
  	
  HBase	
  
	
  	
  Atlas	
  
	
  	
  Accumulo	
  
	
  	
  Storm	
  
	
  	
  Phoenix	
  
4.10.2	
  
DATA	
  MGMT	
   DATA	
  	
  ACCESS	
   GOVERNANCE	
  &	
  INTEGRATION	
   OPERATIONS	
   SECURITY	
  
HDP	
  2.2	
  
Dec	
  2014	
  
HDP	
  2.1	
  
April	
  2014	
  
HDP	
  2.2	
  
Dec	
  2014	
  
HDP	
  2.1	
  
April	
  2014	
  
HDP	
  2.0	
  
Oct	
  2013	
   0.12.0	
   0.12.0	
  
0.12.1	
   0.13.0	
   0.4.0	
  
1.4.4	
   1.4.4	
   3.3.2	
  3.4.5	
  
0.4.0	
  0.5.0	
  
0.14.0	
   0.14.0	
   3.4.6	
   0.5.0	
   0.4.0	
  0.9.3	
  0.5.2	
  
4.0.0	
  4.7.2	
  
1.2.1	
   0.60.0	
   0.98.4	
   4.2.0	
   1.6.1	
   0.6.0	
   1.5.2	
  1.4.5	
   4.1.0	
  1.7.0	
  
1.4.0	
   1.5.1	
   4.0.0	
  
1.3.1	
  
1.5.1	
   1.4.4	
   3.4.5	
  
1.3.1	
  
2.2.0	
  
2.4.0	
  
2.6.0	
  
2.7.1	
   1.4.6	
   1.0.0	
   0.6.0	
   0.5.0	
  2.1.0	
  0.8.2	
   3.4.6	
  1.5.2	
  5.2.1	
   0.80.0	
   1.1.1	
   0.5.0	
  1.7.0	
  4.4.0	
   0.10.0	
   0.6.1	
  0.7.0	
  1.2.1	
  0.15.0	
  
HDP	
  2.3	
  
July	
  2015	
  
4.2.0	
  
Ongoing	
  InnovaFon	
  in	
  Apache
0.96.1	
  
0.98.0	
   0.9.1	
  
0.8.1	
  
23	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
HDP	
  delivers	
  a	
  completely	
  open	
  data	
  plaSorm	
  
Hortonworks	
  Data	
  PlaSorm	
  2.3	
  
Hortonworks	
  Data	
  PlaSorm	
  provides	
  Hadoop	
  for	
  the	
  Enterprise:	
  a	
  centralized	
  architecture	
  of	
  core	
  
enterprise	
  services,	
  for	
  any	
  applicaKon	
  and	
  any	
  data.	
  
Completely Open
•  HDP incorporates every element
required of an enterprise data
platform: data storage, data access,
governance, security, operations
•  All components are developed in
open source and then rigorously
tested, certified, and delivered as an
integrated open source platform
that’s easy to consume and use by
the enterprise and ecosystem.	
  	
  
YARN: Data Operating System
(Cluster	
  Resource	
  Management)	
  
1 ° ° ° ° ° ° °
° ° ° ° ° ° ° °
ApachePig
° °
° °
° ° °
° ° °
HDFS
(Hadoop Distributed File System)
	
  
	
  
GOVERNANCE	
   BATCH, INTERACTIVE & REAL-TIME DATA ACCESS
Apache Falcon
ApacheHive
Cascading
ApacheHBase
ApacheAccumulo
ApacheSolr
ApacheSpark
ApacheStorm
Apache Sqoop
Apache Flume
Apache Kafka
	
  
	
  
SECURITY	
  
Apache Ranger
Apache Knox
Apache Falcon
	
  
	
  
OPERATIONS	
  
Apache Ambari
Apache
Zookeeper
Apache Oozie
Apache Atlas
Apache
Cloudbreak
Apache Atlas
24	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Hortonworks	
  Reference	
  Architecture	
  
25	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
1600+ Partners
3000+	
  	
  
members	
  
15,000+	
  	
  
	
  Weekly	
  visitors	
  
ParFcipaFng	
  with	
  a	
  Growing	
  and	
  Thriving	
  Ecosystem	
  
26	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Why	
  Hortonworks?	
  
Powering	
  the	
  Future	
  of	
  Data	
  
27	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Hortonworks	
  Influences	
  the	
  Apache	
  Community	
  
AP ACHE 	
  HADOOP	
  COMMITTERS	
  
We	
  Employ	
  the	
  Commi^ers	
  
one	
  third	
  of	
  all	
  commiiers	
  to	
  the	
  Apache®	
  
Hadoop™	
  project,	
  and	
  a	
  majority	
  in	
  other	
  
important	
  projects	
  
Our	
  Commi^ers	
  Innovate	
  
and	
  expand	
  Open	
  Enterprise	
  Hadoop	
  
We	
  Influence	
  the	
  Hadoop	
  Roadmap	
  
by	
  communicaKng	
  important	
  requirements	
  
to	
  the	
  community	
  through	
  our	
  leaders	
  
28	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
STORAGE	
  
STORAGE	
  
Hortonworks	
  Provides	
  Full	
  Lifecycle	
  Support	
  	
  
ARCHITECT	
  
&	
  
DEVELOP	
  
DEPLOY	
  
OPERATE	
  
Project	
  1	
  
Project	
  5	
  
Project	
  4	
  
Project	
  3	
  
Project	
  2	
  
Project	
  6	
  
EXPAND	
  
Hortonworks	
  ExperFse	
  
from	
  the	
  original	
  architects	
  of	
  	
  
Apache	
  Hadoop	
  and	
  Apache	
  NiFi	
  
Annual	
  SubscripFons	
  
align	
  your	
  success	
  with	
  ours	
  
Apache	
  Commi^ers	
  
advocate	
  for	
  the	
  requirements	
  of	
  our	
  
customers	
  and	
  provide	
  them	
  roadmap	
  
visibility	
  to	
  help	
  guide	
  their	
  journey	
  
Expert	
  ConsulFng	
  and	
  Training	
  
help	
  you	
  and	
  your	
  team	
  get	
  the	
  most	
  	
  
from	
  your	
  Open	
  Data	
  Pla[orms	
  
29	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Hortonworks Training & Certification
30	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Hortonworks	
  Delivers	
  ProacFve	
  Support	
  
Hortonworks	
  SmartSense™	
  
with	
  machine	
  learning	
  and	
  	
  
predicKve	
  analyKcs	
  on	
  your	
  cluster	
  
	
  
Integrated	
  Customer	
  Portal	
  
with	
  knowledge	
  base	
  and	
  	
  
on-­‐demand	
  training	
  
Knowledge	
  
Base	
  
Integrated	
  Customer	
  Portal	
  
On-­‐Demand	
  	
  
Training	
  
Customer	
  Environment	
  
Any	
  cloud	
  •	
  Hybrid	
  Environment	
  •	
  MulK-­‐tenant	
  
Hortonworks	
  SmartSense	
  
31	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
About	
  Hortonworks	
  
Customer	
  Momentum	
  
Ã  ~800	
  customers	
  (as	
  of	
  November	
  4,	
  2015)	
  
Ã  152	
  customers	
  added	
  in	
  Q3	
  2015	
  
Ã  Publicly	
  traded	
  on	
  NASDAQ:	
  HDP	
  
The	
  Leader	
  in	
  Connected	
  Data	
  PlaSorms	
  
Ã  Hortonworks	
  DataFlow	
  for	
  data	
  in	
  moKon	
  
Ã  Hortonworks	
  Data	
  Pla[orm	
  for	
  data	
  at	
  rest	
  
Ã  Powering	
  new	
  modern	
  data	
  applicaKons	
  
Partner	
  for	
  Customer	
  Success	
  
Ã  Leader	
  in	
  open-­‐source	
  community,	
  focused	
  	
  
on	
  innovaKon	
  to	
  meet	
  enterprise	
  needs	
  
Ã  Unrivaled	
  support	
  subscripKons	
  
Founded	
  in	
  2011	
  	
  
Original	
  24	
  Architects,	
  Developers,	
  	
  
Operators	
  of	
  Hadoop	
  from	
  Yahoo!	
  
800+	
  
E M P L O Y E E S 	
  
1500+	
  
E C O S Y S T E M 	
  
P A R T N E R S 	
  
32	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Thank	
  You	
  
33	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Securing	
  Your	
  Data	
  with	
  Tag-­‐Based	
  Access	
  Policies	
  
Manage	
  Access	
  Policies	
  	
  
and	
  Audit	
  Logs	
  
Track	
  Metadata	
  	
  	
  
and	
  Lineage	
  
34	
   ©	
  Hortonworks	
  Inc.	
  2011	
  –	
  2016.	
  All	
  Rights	
  Reserved	
  
Data-­‐Defined	
  Cyber	
  Security	
  –	
  Apache	
  Metron	
  (incubaFng)	
  
	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Enriched	
  360	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Correlated	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Searchable	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Discoverable	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  3rd	
  Party	
  Feeds	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  StaFc	
  Rules	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  ML	
  Models	
  
	
  	
  	
  	
  IOC	
  Sharing	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Parsers	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Enrichers	
  
	
  	
  	
  	
  Threat	
  Intel	
  
UI	
  Widgets	
  
	
  
	
  	
  	
  	
  	
  	
  	
  	
  SIEM	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  PCAP	
  Replay	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Evidence	
  Store	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  HunFng	
  PlaSorm	
  
	
  
Check	
  Out	
  the	
  	
  
Technical	
  Preview!	
  
Tracing	
  the	
  Flow	
  of	
  a	
  Security	
  Telemetry	
  Event	
  though	
  Metron	
  
Pluggable	
  
Framework	
  
Security	
  
ApplicaFon	
  
Security	
  	
  
Data	
  Lake	
  
Threat	
  
Intelligence	
  

More Related Content

What's hot

Social Media Monitoring with NiFi, Druid and Superset
Social Media Monitoring with NiFi, Druid and SupersetSocial Media Monitoring with NiFi, Druid and Superset
Social Media Monitoring with NiFi, Druid and SupersetThiago Santiago
 
A Tale of Two Regulations: Cross-Border Data Protection For Big Data Under GD...
A Tale of Two Regulations: Cross-Border Data Protection For Big Data Under GD...A Tale of Two Regulations: Cross-Border Data Protection For Big Data Under GD...
A Tale of Two Regulations: Cross-Border Data Protection For Big Data Under GD...DataWorks Summit/Hadoop Summit
 
Dataguise hortonworks insurance_feb25
Dataguise hortonworks insurance_feb25Dataguise hortonworks insurance_feb25
Dataguise hortonworks insurance_feb25Hortonworks
 
Eliminating the Challenges of Big Data Management Inside Hadoop
Eliminating the Challenges of Big Data Management Inside HadoopEliminating the Challenges of Big Data Management Inside Hadoop
Eliminating the Challenges of Big Data Management Inside HadoopHortonworks
 
The Power of your Data Achieved - Next Gen Modernization
The Power of your Data Achieved - Next Gen ModernizationThe Power of your Data Achieved - Next Gen Modernization
The Power of your Data Achieved - Next Gen ModernizationHortonworks
 
Big Data/Hadoop Option Analysis
Big Data/Hadoop Option AnalysisBig Data/Hadoop Option Analysis
Big Data/Hadoop Option Analysiszafarali1981
 
Zementis hortonworks-webinar-2014-09
Zementis hortonworks-webinar-2014-09Zementis hortonworks-webinar-2014-09
Zementis hortonworks-webinar-2014-09Hortonworks
 
Make Streaming IoT Analytics Work for You
Make Streaming IoT Analytics Work for YouMake Streaming IoT Analytics Work for You
Make Streaming IoT Analytics Work for YouHortonworks
 
Real time trade surveillance in financial markets
Real time trade surveillance in financial marketsReal time trade surveillance in financial markets
Real time trade surveillance in financial marketsHortonworks
 
Top 5 Strategies for Retail Data Analytics
Top 5 Strategies for Retail Data AnalyticsTop 5 Strategies for Retail Data Analytics
Top 5 Strategies for Retail Data AnalyticsHortonworks
 
Hortonworks and Red Hat Webinar_Sept.3rd_Part 1
Hortonworks and Red Hat Webinar_Sept.3rd_Part 1Hortonworks and Red Hat Webinar_Sept.3rd_Part 1
Hortonworks and Red Hat Webinar_Sept.3rd_Part 1Hortonworks
 
Hadoop 2.0: YARN to Further Optimize Data Processing
Hadoop 2.0: YARN to Further Optimize Data ProcessingHadoop 2.0: YARN to Further Optimize Data Processing
Hadoop 2.0: YARN to Further Optimize Data ProcessingHortonworks
 
Webinar turbo charging_data_science_hawq_on_hdp_final
Webinar turbo charging_data_science_hawq_on_hdp_finalWebinar turbo charging_data_science_hawq_on_hdp_final
Webinar turbo charging_data_science_hawq_on_hdp_finalHortonworks
 
Making Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with EaseMaking Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with EaseHortonworks
 
How to Become an Analytics Ready Insurer - with Informatica and Hortonworks
How to Become an Analytics Ready Insurer - with Informatica and HortonworksHow to Become an Analytics Ready Insurer - with Informatica and Hortonworks
How to Become an Analytics Ready Insurer - with Informatica and HortonworksHortonworks
 
Cloudian 451-hortonworks - webinar
Cloudian 451-hortonworks - webinarCloudian 451-hortonworks - webinar
Cloudian 451-hortonworks - webinarHortonworks
 
Battling the disrupting Energy Markets utilizing PURE PLAY Cloud Computing
Battling the disrupting Energy Markets utilizing PURE PLAY Cloud ComputingBattling the disrupting Energy Markets utilizing PURE PLAY Cloud Computing
Battling the disrupting Energy Markets utilizing PURE PLAY Cloud ComputingEdwin Poot
 

What's hot (20)

Hybrid Cloud Strategy for Big Data and Analytics
Hybrid Cloud Strategy for Big Data and Analytics Hybrid Cloud Strategy for Big Data and Analytics
Hybrid Cloud Strategy for Big Data and Analytics
 
Social Media Monitoring with NiFi, Druid and Superset
Social Media Monitoring with NiFi, Druid and SupersetSocial Media Monitoring with NiFi, Druid and Superset
Social Media Monitoring with NiFi, Druid and Superset
 
Data Science Crash Course
Data Science Crash CourseData Science Crash Course
Data Science Crash Course
 
A Tale of Two Regulations: Cross-Border Data Protection For Big Data Under GD...
A Tale of Two Regulations: Cross-Border Data Protection For Big Data Under GD...A Tale of Two Regulations: Cross-Border Data Protection For Big Data Under GD...
A Tale of Two Regulations: Cross-Border Data Protection For Big Data Under GD...
 
Dataguise hortonworks insurance_feb25
Dataguise hortonworks insurance_feb25Dataguise hortonworks insurance_feb25
Dataguise hortonworks insurance_feb25
 
Eliminating the Challenges of Big Data Management Inside Hadoop
Eliminating the Challenges of Big Data Management Inside HadoopEliminating the Challenges of Big Data Management Inside Hadoop
Eliminating the Challenges of Big Data Management Inside Hadoop
 
Using Hadoop for Cognitive Analytics
Using Hadoop for Cognitive AnalyticsUsing Hadoop for Cognitive Analytics
Using Hadoop for Cognitive Analytics
 
The Power of your Data Achieved - Next Gen Modernization
The Power of your Data Achieved - Next Gen ModernizationThe Power of your Data Achieved - Next Gen Modernization
The Power of your Data Achieved - Next Gen Modernization
 
Big Data/Hadoop Option Analysis
Big Data/Hadoop Option AnalysisBig Data/Hadoop Option Analysis
Big Data/Hadoop Option Analysis
 
Zementis hortonworks-webinar-2014-09
Zementis hortonworks-webinar-2014-09Zementis hortonworks-webinar-2014-09
Zementis hortonworks-webinar-2014-09
 
Make Streaming IoT Analytics Work for You
Make Streaming IoT Analytics Work for YouMake Streaming IoT Analytics Work for You
Make Streaming IoT Analytics Work for You
 
Real time trade surveillance in financial markets
Real time trade surveillance in financial marketsReal time trade surveillance in financial markets
Real time trade surveillance in financial markets
 
Top 5 Strategies for Retail Data Analytics
Top 5 Strategies for Retail Data AnalyticsTop 5 Strategies for Retail Data Analytics
Top 5 Strategies for Retail Data Analytics
 
Hortonworks and Red Hat Webinar_Sept.3rd_Part 1
Hortonworks and Red Hat Webinar_Sept.3rd_Part 1Hortonworks and Red Hat Webinar_Sept.3rd_Part 1
Hortonworks and Red Hat Webinar_Sept.3rd_Part 1
 
Hadoop 2.0: YARN to Further Optimize Data Processing
Hadoop 2.0: YARN to Further Optimize Data ProcessingHadoop 2.0: YARN to Further Optimize Data Processing
Hadoop 2.0: YARN to Further Optimize Data Processing
 
Webinar turbo charging_data_science_hawq_on_hdp_final
Webinar turbo charging_data_science_hawq_on_hdp_finalWebinar turbo charging_data_science_hawq_on_hdp_final
Webinar turbo charging_data_science_hawq_on_hdp_final
 
Making Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with EaseMaking Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with Ease
 
How to Become an Analytics Ready Insurer - with Informatica and Hortonworks
How to Become an Analytics Ready Insurer - with Informatica and HortonworksHow to Become an Analytics Ready Insurer - with Informatica and Hortonworks
How to Become an Analytics Ready Insurer - with Informatica and Hortonworks
 
Cloudian 451-hortonworks - webinar
Cloudian 451-hortonworks - webinarCloudian 451-hortonworks - webinar
Cloudian 451-hortonworks - webinar
 
Battling the disrupting Energy Markets utilizing PURE PLAY Cloud Computing
Battling the disrupting Energy Markets utilizing PURE PLAY Cloud ComputingBattling the disrupting Energy Markets utilizing PURE PLAY Cloud Computing
Battling the disrupting Energy Markets utilizing PURE PLAY Cloud Computing
 

Similar to Powering the Future of Data  

Hortonworks Open Connected Data Platforms for IoT and Predictive Big Data Ana...
Hortonworks Open Connected Data Platforms for IoT and Predictive Big Data Ana...Hortonworks Open Connected Data Platforms for IoT and Predictive Big Data Ana...
Hortonworks Open Connected Data Platforms for IoT and Predictive Big Data Ana...DataWorks Summit
 
Data in Motion - Data at Rest - Hortonworks a Modern Architecture
Data in Motion - Data at Rest - Hortonworks a Modern ArchitectureData in Motion - Data at Rest - Hortonworks a Modern Architecture
Data in Motion - Data at Rest - Hortonworks a Modern ArchitectureMats Johansson
 
Apache Hadoop Crash Course
Apache Hadoop Crash CourseApache Hadoop Crash Course
Apache Hadoop Crash CourseDataWorks Summit
 
Reinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital TransformationReinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital TransformationDenodo
 
Achieving a 360 degree view of manufacturing
Achieving a 360 degree view of manufacturingAchieving a 360 degree view of manufacturing
Achieving a 360 degree view of manufacturingDataWorks Summit
 
Achieving a 360-degree view of manufacturing via open source industrial data ...
Achieving a 360-degree view of manufacturing via open source industrial data ...Achieving a 360-degree view of manufacturing via open source industrial data ...
Achieving a 360-degree view of manufacturing via open source industrial data ...DataWorks Summit
 
Hortonworks Data In Motion Series Part 4
Hortonworks Data In Motion Series Part 4Hortonworks Data In Motion Series Part 4
Hortonworks Data In Motion Series Part 4Hortonworks
 
Johns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log EventsJohns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log EventsHortonworks
 
Hortonworks - How Hadoop makes the successful Retailer.
Hortonworks - How Hadoop makes the successful Retailer. Hortonworks - How Hadoop makes the successful Retailer.
Hortonworks - How Hadoop makes the successful Retailer. Mats Johansson
 
Hadoop Crash Course Hadoop Summit SJ
Hadoop Crash Course Hadoop Summit SJ Hadoop Crash Course Hadoop Summit SJ
Hadoop Crash Course Hadoop Summit SJ Daniel Madrigal
 
Enabling the Real Time Analytical Enterprise
Enabling the Real Time Analytical EnterpriseEnabling the Real Time Analytical Enterprise
Enabling the Real Time Analytical EnterpriseHortonworks
 
Hortonworks & Bilot Data Driven Transformations with Hadoop
Hortonworks & Bilot Data Driven Transformations with HadoopHortonworks & Bilot Data Driven Transformations with Hadoop
Hortonworks & Bilot Data Driven Transformations with HadoopMats Johansson
 
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...Denodo
 
Hortonworks DataFlow & Apache Nifi @Oslo Hadoop Big Data
Hortonworks DataFlow & Apache Nifi @Oslo Hadoop Big DataHortonworks DataFlow & Apache Nifi @Oslo Hadoop Big Data
Hortonworks DataFlow & Apache Nifi @Oslo Hadoop Big DataMats Johansson
 
Leverage Big Data to Enhance Customer Experience in Telecommunications – with...
Leverage Big Data to Enhance Customer Experience in Telecommunications – with...Leverage Big Data to Enhance Customer Experience in Telecommunications – with...
Leverage Big Data to Enhance Customer Experience in Telecommunications – with...Hortonworks
 
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...DataWorks Summit
 
IoT Crash Course Hadoop Summit SJ
IoT Crash Course Hadoop Summit SJIoT Crash Course Hadoop Summit SJ
IoT Crash Course Hadoop Summit SJDaniel Madrigal
 

Similar to Powering the Future of Data   (20)

Hortonworks Open Connected Data Platforms for IoT and Predictive Big Data Ana...
Hortonworks Open Connected Data Platforms for IoT and Predictive Big Data Ana...Hortonworks Open Connected Data Platforms for IoT and Predictive Big Data Ana...
Hortonworks Open Connected Data Platforms for IoT and Predictive Big Data Ana...
 
Data in Motion - Data at Rest - Hortonworks a Modern Architecture
Data in Motion - Data at Rest - Hortonworks a Modern ArchitectureData in Motion - Data at Rest - Hortonworks a Modern Architecture
Data in Motion - Data at Rest - Hortonworks a Modern Architecture
 
Apache Hadoop Crash Course
Apache Hadoop Crash CourseApache Hadoop Crash Course
Apache Hadoop Crash Course
 
Apache Hadoop Crash Course
Apache Hadoop Crash CourseApache Hadoop Crash Course
Apache Hadoop Crash Course
 
Reinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital TransformationReinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital Transformation
 
Achieving a 360 degree view of manufacturing
Achieving a 360 degree view of manufacturingAchieving a 360 degree view of manufacturing
Achieving a 360 degree view of manufacturing
 
Achieving a 360-degree view of manufacturing via open source industrial data ...
Achieving a 360-degree view of manufacturing via open source industrial data ...Achieving a 360-degree view of manufacturing via open source industrial data ...
Achieving a 360-degree view of manufacturing via open source industrial data ...
 
Hortonworks Data In Motion Series Part 4
Hortonworks Data In Motion Series Part 4Hortonworks Data In Motion Series Part 4
Hortonworks Data In Motion Series Part 4
 
Johns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log EventsJohns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log Events
 
Hortonworks - How Hadoop makes the successful Retailer.
Hortonworks - How Hadoop makes the successful Retailer. Hortonworks - How Hadoop makes the successful Retailer.
Hortonworks - How Hadoop makes the successful Retailer.
 
Hadoop Crash Course Hadoop Summit SJ
Hadoop Crash Course Hadoop Summit SJ Hadoop Crash Course Hadoop Summit SJ
Hadoop Crash Course Hadoop Summit SJ
 
Enabling the Real Time Analytical Enterprise
Enabling the Real Time Analytical EnterpriseEnabling the Real Time Analytical Enterprise
Enabling the Real Time Analytical Enterprise
 
Hortonworks & Bilot Data Driven Transformations with Hadoop
Hortonworks & Bilot Data Driven Transformations with HadoopHortonworks & Bilot Data Driven Transformations with Hadoop
Hortonworks & Bilot Data Driven Transformations with Hadoop
 
Hadoop Summit Tokyo Apache NiFi Crash Course
Hadoop Summit Tokyo Apache NiFi Crash CourseHadoop Summit Tokyo Apache NiFi Crash Course
Hadoop Summit Tokyo Apache NiFi Crash Course
 
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...
 
Hortonworks DataFlow & Apache Nifi @Oslo Hadoop Big Data
Hortonworks DataFlow & Apache Nifi @Oslo Hadoop Big DataHortonworks DataFlow & Apache Nifi @Oslo Hadoop Big Data
Hortonworks DataFlow & Apache Nifi @Oslo Hadoop Big Data
 
Leverage Big Data to Enhance Customer Experience in Telecommunications – with...
Leverage Big Data to Enhance Customer Experience in Telecommunications – with...Leverage Big Data to Enhance Customer Experience in Telecommunications – with...
Leverage Big Data to Enhance Customer Experience in Telecommunications – with...
 
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...
 
IoT Crash Course Hadoop Summit SJ
IoT Crash Course Hadoop Summit SJIoT Crash Course Hadoop Summit SJ
IoT Crash Course Hadoop Summit SJ
 
Solving Big Data Problems using Hortonworks
Solving Big Data Problems using Hortonworks Solving Big Data Problems using Hortonworks
Solving Big Data Problems using Hortonworks
 

More from Bilot

Bilot Azure on SAP Breakfast Club 16.05.2018
Bilot Azure on SAP Breakfast Club 16.05.2018Bilot Azure on SAP Breakfast Club 16.05.2018
Bilot Azure on SAP Breakfast Club 16.05.2018Bilot
 
Bilot SmartMDM breakfast session 8.3.2018
Bilot SmartMDM breakfast session 8.3.2018Bilot SmartMDM breakfast session 8.3.2018
Bilot SmartMDM breakfast session 8.3.2018Bilot
 
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...Bilot
 
Masterdata - why it matters and how SmartMDM™ can help?
Masterdata - why it matters and how SmartMDM™ can help?Masterdata - why it matters and how SmartMDM™ can help?
Masterdata - why it matters and how SmartMDM™ can help?Bilot
 
Predictive Analytics in Practice - Breakfast Club 11th May 2017
Predictive Analytics in Practice - Breakfast Club 11th May 2017Predictive Analytics in Practice - Breakfast Club 11th May 2017
Predictive Analytics in Practice - Breakfast Club 11th May 2017Bilot
 
Osoitekirjasta systemaattiseen asiakkuuden johtamiseen
Osoitekirjasta systemaattiseen asiakkuuden johtamiseenOsoitekirjasta systemaattiseen asiakkuuden johtamiseen
Osoitekirjasta systemaattiseen asiakkuuden johtamiseenBilot
 
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, AltiaIT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, AltiaBilot
 
Digitalized Customer Service, Virtual Club 26th January 2017, Poland
Digitalized Customer Service, Virtual Club 26th January 2017, PolandDigitalized Customer Service, Virtual Club 26th January 2017, Poland
Digitalized Customer Service, Virtual Club 26th January 2017, PolandBilot
 
Digitalized Customer Service, Breakfast Club 26.1.2017
Digitalized Customer Service, Breakfast Club 26.1.2017Digitalized Customer Service, Breakfast Club 26.1.2017
Digitalized Customer Service, Breakfast Club 26.1.2017Bilot
 
CDO-barometri 2017
CDO-barometri 2017CDO-barometri 2017
CDO-barometri 2017Bilot
 
CDO-barometri 2017
CDO-barometri 2017CDO-barometri 2017
CDO-barometri 2017Bilot
 
Data Driven Organization
Data Driven OrganizationData Driven Organization
Data Driven OrganizationBilot
 
Scribbles and Lines - Jonathan Weakley's keynote
Scribbles and Lines - Jonathan Weakley's keynoteScribbles and Lines - Jonathan Weakley's keynote
Scribbles and Lines - Jonathan Weakley's keynoteBilot
 
Digitaalinen asiakaskohtaaminen
Digitaalinen asiakaskohtaaminenDigitaalinen asiakaskohtaaminen
Digitaalinen asiakaskohtaaminenBilot
 
Integroi oikein BizTalkilla ja Azurella
Integroi oikein BizTalkilla ja AzurellaIntegroi oikein BizTalkilla ja Azurella
Integroi oikein BizTalkilla ja AzurellaBilot
 
Bilot 3mode
Bilot 3modeBilot 3mode
Bilot 3modeBilot
 
Cloud era SAP Application Development and 3 mode
Cloud era SAP Application Development and 3 modeCloud era SAP Application Development and 3 mode
Cloud era SAP Application Development and 3 modeBilot
 
Pysyvästi laadukasta masterdataa SmartMDM:n avulla
Pysyvästi laadukasta masterdataa SmartMDM:n avullaPysyvästi laadukasta masterdataa SmartMDM:n avulla
Pysyvästi laadukasta masterdataa SmartMDM:n avullaBilot
 
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANAYour 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANABilot
 
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...Bilot
 

More from Bilot (20)

Bilot Azure on SAP Breakfast Club 16.05.2018
Bilot Azure on SAP Breakfast Club 16.05.2018Bilot Azure on SAP Breakfast Club 16.05.2018
Bilot Azure on SAP Breakfast Club 16.05.2018
 
Bilot SmartMDM breakfast session 8.3.2018
Bilot SmartMDM breakfast session 8.3.2018Bilot SmartMDM breakfast session 8.3.2018
Bilot SmartMDM breakfast session 8.3.2018
 
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
Case Ruukki Constructions: Tehokas tiedon keräys, jalostaminen ja visualisoin...
 
Masterdata - why it matters and how SmartMDM™ can help?
Masterdata - why it matters and how SmartMDM™ can help?Masterdata - why it matters and how SmartMDM™ can help?
Masterdata - why it matters and how SmartMDM™ can help?
 
Predictive Analytics in Practice - Breakfast Club 11th May 2017
Predictive Analytics in Practice - Breakfast Club 11th May 2017Predictive Analytics in Practice - Breakfast Club 11th May 2017
Predictive Analytics in Practice - Breakfast Club 11th May 2017
 
Osoitekirjasta systemaattiseen asiakkuuden johtamiseen
Osoitekirjasta systemaattiseen asiakkuuden johtamiseenOsoitekirjasta systemaattiseen asiakkuuden johtamiseen
Osoitekirjasta systemaattiseen asiakkuuden johtamiseen
 
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, AltiaIT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
IT rakentamassa juomakulttuuria 2.0, Terhi Nyyssönen, Altia
 
Digitalized Customer Service, Virtual Club 26th January 2017, Poland
Digitalized Customer Service, Virtual Club 26th January 2017, PolandDigitalized Customer Service, Virtual Club 26th January 2017, Poland
Digitalized Customer Service, Virtual Club 26th January 2017, Poland
 
Digitalized Customer Service, Breakfast Club 26.1.2017
Digitalized Customer Service, Breakfast Club 26.1.2017Digitalized Customer Service, Breakfast Club 26.1.2017
Digitalized Customer Service, Breakfast Club 26.1.2017
 
CDO-barometri 2017
CDO-barometri 2017CDO-barometri 2017
CDO-barometri 2017
 
CDO-barometri 2017
CDO-barometri 2017CDO-barometri 2017
CDO-barometri 2017
 
Data Driven Organization
Data Driven OrganizationData Driven Organization
Data Driven Organization
 
Scribbles and Lines - Jonathan Weakley's keynote
Scribbles and Lines - Jonathan Weakley's keynoteScribbles and Lines - Jonathan Weakley's keynote
Scribbles and Lines - Jonathan Weakley's keynote
 
Digitaalinen asiakaskohtaaminen
Digitaalinen asiakaskohtaaminenDigitaalinen asiakaskohtaaminen
Digitaalinen asiakaskohtaaminen
 
Integroi oikein BizTalkilla ja Azurella
Integroi oikein BizTalkilla ja AzurellaIntegroi oikein BizTalkilla ja Azurella
Integroi oikein BizTalkilla ja Azurella
 
Bilot 3mode
Bilot 3modeBilot 3mode
Bilot 3mode
 
Cloud era SAP Application Development and 3 mode
Cloud era SAP Application Development and 3 modeCloud era SAP Application Development and 3 mode
Cloud era SAP Application Development and 3 mode
 
Pysyvästi laadukasta masterdataa SmartMDM:n avulla
Pysyvästi laadukasta masterdataa SmartMDM:n avullaPysyvästi laadukasta masterdataa SmartMDM:n avulla
Pysyvästi laadukasta masterdataa SmartMDM:n avulla
 
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANAYour 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
Your 3 Steps to S/4HANA - The Best Second opinion on the market for SAP S/4HANA
 
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
Bilot Consulting Oy on toteuttanut Bernerille useita SAP BW-, portaali- ja su...
 

Recently uploaded

Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationIntroduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationZilliz
 
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...CzechDreamin
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoTAnalytics
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Product School
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekCzechDreamin
 
IESVE for Early Stage Design and Planning
IESVE for Early Stage Design and PlanningIESVE for Early Stage Design and Planning
IESVE for Early Stage Design and PlanningIES VE
 
In-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT ProfessionalsIn-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT ProfessionalsExpeed Software
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxAbida Shariff
 
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxWSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxJennifer Lim
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...Product School
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaCzechDreamin
 
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024Stephanie Beckett
 
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀DianaGray10
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxDavid Michel
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomCzechDreamin
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlPeter Udo Diehl
 
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...CzechDreamin
 

Recently uploaded (20)

Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationIntroduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG Evaluation
 
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří Karpíšek
 
IESVE for Early Stage Design and Planning
IESVE for Early Stage Design and PlanningIESVE for Early Stage Design and Planning
IESVE for Early Stage Design and Planning
 
In-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT ProfessionalsIn-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT Professionals
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxWSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024
 
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
 

Powering the Future of Data  

  • 1. 1   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Powering  the   Future  of  Data   Pasi  Vuorela   Nordic  Sales  Manager  
  • 2. 2   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   EMBRACE  AN  OPEN   APPROACH     MASTER  THE  VALUE   OF  DATA   EVERY  BUSINESS     IS  A  DATA  BUSINESS  
  • 3. 3   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   The  Growth  of  the  Flow  of  Data   Much  of  the  new  data   exists  in-­‐flight  between   systems  and  devices  as   part  of  the  Internet  of   Anything  NEW   TRADITIONAL   Ability  to  consume  data   The Opportunity Unlock  transformaKonal  business  value   from  a  full  fidelity  of  data  and  analyKcs   for  all  data.   GeolocaKon   Server  logs   Files  &  emails   ERP,  CRM,  SCM   TradiFonal  Data  Sources   Internet  of  Anything   Sensors   and  machines   Clickstream   Web  &  social  
  • 4. 4   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Data  Unleashed:  More  Volume  &  More  Types   I N C R E A S I N G D A T A V A R I E T Y A N D C O M P L E X I T Y USER GENERATED CONTENT MOBILE WEB SMS/MMS SENTIMENT EXTERNAL DEMOGRAPHICS HD VIDEO SPEECH TO TEXT PRODUCT/ SERVICE LOGS SOCIAL NETWORK BUSINESS DATA FEEDS USER CLICK STREAM WEB LOGS OFFER HISTORY DYNAMIC PRICING A/B TESTING AFFILIATE NETWORKS SEARCH MARKETING BEHAVIORAL TARGETING DYNAMIC FUNNELSPAYMENT RECORD SUPPORT CONTACTS CUSTOMER TOUCHESPURCHASE DETAIL PURCHASE RECORD SEGMENTATIONOFFER DETAILS PETABYTES TERABYTES GIGABYTES EXABYTES E R P B I G D ATA W E B C R M I O T D ATA SENSORS INFOTAINMENT SYSTEMS WEARABLE DEVICES CYBER SECURITY LOGS CONNECTED VEHICLES MACHINE DATA ZETTABYTES
  • 5. 5   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Blind  Spots  Block  Your  Ability  to  Use  All  the  Data   GROUP  3   GROUP  2   GROUP  4   GROUP  1   INTERNET   OF   ANYTHING   Fragmented  data-­‐at-­‐rest     increases  the  cost  of  insight   Data-­‐in-­‐moKon  streams   through  your  blind  spots  
  • 6. 6   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   AcFonable  Intelligence  from   Connected  Data  PlaSorms   Ã  Capturing  perishable     insights  from  data  in  moKon   Ã  Ensuring  rich,  historical  insights   on  data  at  rest   Ã  Necessary  for  modern   data  applicaKons   DATA  AT  REST   DATA  IN   MOTION   ACTIONABLE   INTELLIGENCE   Modern  Data  ApplicaFons   Hortonworks     DataFlow   Hortonworks     Data  PlaSorm  
  • 7. 7   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Connected  Data  PlaSorms  Enable  Architectural  TransformaFons   Data  in   MoFon   (Cloud)   Data  in   MoFon   (on-­‐premises)   Data  at   Rest   (on-­‐premises)   Edge   Data   Data  in   MoFon   Edge   AnalyFcs   Data  at   Rest   (Cloud)   Edge   Data   Data  at   Rest   (on-­‐premises)   Closed  Loop   AnalyFcs   Machine   Learning   Deep   Historical   Analysis  
  • 8. 8   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Hortonworks®  customers  leverage  our  Connected  Data  Pla[orms  to  transform  their   industries  –  renovaKng  their  IT  architectures  and  innovaKng  with  their  Data  in  MoKon     or  Data  at  Rest  to  power  acKonable  intelligence  through  Modern  Data  ApplicaKons.   Social   Mapping   Payment   Tracking   Factory   Yields   Defect   DetecKon   Call  Analysis   Machine   Data   Product   Design   M  &  A   Due   Diligence   Next  Product   Recs   Cyber   Security   Risk   Modeling   Ad   Placement   ProacKve   Repair   Disaster   MiKgaKon   Investment   Planning   Inventory   PredicKons   Customer   Support   SenKment   Analysis   Supply  Chain   Ad   Placement   Basket   Analysis   Segments   Cross-­‐   Sell   Customer   RetenKon   Vendor   Scorecards   OpKmize   Inventories   OPEX   ReducKon   Mainframe   Offloads   Historical   Records   Data   as  a  Service   Public   Data  Capture   Fraud   PrevenKon   Device  Data   Ingest   Rapid   ReporKng   Digital   ProtecKon   8   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved  
  • 9. 9   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Renovation Examples We’ve helped hundreds of customers optimize their data architectures: •  Major US retailer – were spending $50k/TB on EDW, 37% of processing was ETL •  Major global bank – avoided $46 mil EDW expansion •  British Airways – moved 75% of data out of EDW into HDP •  Centrica British Gas – avoided 5 mil GBP EDW expansion and enriched environment with smart meter data •  TrueCar – $0.23/GB with HDP vs. $19/GB with traditional EDW •  Neustar – moved from keeping 1% of data for 65 days to keeping 100% for 2 years+
  • 10. 10   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Merck’s  Journey   The  Golden   Batch   ScienFfic  Search   Sensor  Data  Storage   Vaccine  Yield   OpFmizaFon   Innovate Renovate The  Journey  to     the  Golden  Batch   Ã Combined  10  years  data  on   one  vaccine:  1  billion  records     Ã 5.5  million  batch  comparisons   Ã 1st  year  yield  boost  of  40K  more   doses  à  $10M  profit  impact         Ã McKinsey:  50%  yield  increase   Epidemiology  
  • 11. 11   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Symantec’s  Journey   Digital  Security   Metadata   Capture   Threat     PredicKons   Aiacker     DetecKon   Unified   Security   Security  Log   Analysis   Threat     Archive   Device  Data   Ingest   Threat   DetecKon   Greenplum   Offload   Innovate   Renovate   Data  Science  Speeds     Time  to  ProtecFon   Ã  Threat  detecKon  latency  reduced   from  4  hours  to  2  seconds   Ã  Time  to  protecKon  improved  5000x     Ã  Machine  learning  over  tens     of  petabytes  of  historical  data   predicts  threats  to  customers   Ã  Cloud  team  uses  Ambari  and   Cloudbreak  for  dynamic  clusters     to  meet  peak  workloads  
  • 12. 12   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Case  Study   Mercy’s  Journey   Beier  Health   Billing   Vital  Sign   Monitoring   Single   PaFent   Record   Lab  Notes   Archive   Privacy   Database   Medical     Decision   Support   Device   Data   Ingest   PrevenFve   Care   Epic   Enrichment   OPEX   Efficiency   Epic  EMR   ReplicaFon   Innovate   Renovate   Be^er  Health   Through  Data   Ã  Searches  of  free-­‐text  lab  notes,   speed  researcher  insight  from   “never”  to  “seconds”     Ã  Ingest  of  ICU  vital  signs   increased  by  900X,  lemng   clinicians  respond  more  quickly   Ã  Mercy  is  building  real-­‐Kme   tools  to  support  surgical   decisions  and  prevenKve  care  
  • 13. 13   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Case  Study   Progressive’s  Journey   Rewarding  Safer  Drivers  and   Improving  Traffic  Safety   Ã  Snapshot  plug-­‐in  devices  capture   driving  detail   Ã  Progressive  stores  more  than   10  billion  miles  driven   Ã  Through  a  web  app,  customers  can   review  their  own  driving  detail  and   improve  their  safety   Ã  Snapshot  and  usage-­‐based  insurance   drove  $2.6  billion  in  2014  Progressive   premiums   Innovate Renovate Safe  Roads   Claims  Notes   Mining   Individual   Driving   Histories   Usage-­‐Based   Insurance  (UBI)   Web  Log   Analysis   Online  Ad   Placement   Sensor  Data   Ingest  
  • 14. 14   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   The  Hortonworks  SoluFon   Powering  the  Future  of  Data  
  • 15. 15   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   DATA  AT  REST  DATA  IN  MOTION   ACTIONABLE   INTELLIGENCE   Modern  Data  ApplicaFons   PERISHABLE   INSIGHTS   HISTORICAL   INSIGHTS   INTERNET   OF   ANYTHING   Hortonworks     DataFlow   Hortonworks     Data  PlaSorm   Hortonworks  Delivers   Connected  Data  PlaSorms  
  • 16. 16   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Secure   Real-­‐Fme   AdapFve   Integrated   Hortonworks  DataFlow  for  Data  in  MoFon   Powered  by  Apache  NiFi  
  • 17. 17   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   A  SimplisFc  View  of  Enterprise  Data  Flows   The Data Flow Thing Process and Analyze Data Acquire Data Store Data
  • 18. 18   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   A  RealisFc  View  of  Enterprise  Data  Flow  
  • 19. 19   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Real-­‐Time,  Visual  Control  of  Data  Flows   Add  and  Adjust  Data  Sources   to  maximize  the  opportunity  that  you   capture  from  perishable  insights   Visually  Trace  the  Data  Path   to  manage  the  what,  who,  where  and     how  around  data  in  moKon   Dynamically  Adjust  the  Pipeline   to  match  the  dataflow  with  your  bandwidth   H O R T O N W O R K S   D A T A F L O W   Add  and  adjust   data  sources   Visually  trace   the  data  path   Dynamically   adjust  the   pipeline  
  • 20. 20   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Hortonworks  Data  PlaSorm  for  Data  at  Rest   Powered  by  Open  Enterprise  Hadoop   Open   Interoperable   Ready   Central  
  • 21. 21   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   100%  Open  Source  Connected  Data  PlaSorms   M A X I M U M   C O M M U N I T Y   I N N O V A T I O N   T H E   I N N O V A T I O N   A D V A N T A G E   P R O P R I E T A R Y   H A D O O P   T I M E   INNOVATION   O P E N   C O M M U N I T Y   Eliminates  Risk   of  vendor  lock-­‐in  by  delivering   100%  Apache  open  source  technology   Maximizes  Community  InnovaFon   with  hundreds  of  developers  across   hundreds  of  companies   Integrates  Seamlessly   through  commiied  co-­‐engineering   partnerships  with  other  leading  technologies  
  • 22. 22   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   100%  Open  Approach  =  Fastest  Path  to  InnovaFon   HORTONWORKS  DATA  PLATFORM        Hadoop  &        YARN        Flume      Oozie      Pig      Hive      Tez      Sqoop      Cloudbreak      Ambari      Slider      Kaga      Knox      Solr      Zookeeper      Spark      Falcon      Ranger      HBase      Atlas      Accumulo      Storm      Phoenix   4.10.2   DATA  MGMT   DATA    ACCESS   GOVERNANCE  &  INTEGRATION   OPERATIONS   SECURITY   HDP  2.2   Dec  2014   HDP  2.1   April  2014   HDP  2.2   Dec  2014   HDP  2.1   April  2014   HDP  2.0   Oct  2013   0.12.0   0.12.0   0.12.1   0.13.0   0.4.0   1.4.4   1.4.4   3.3.2  3.4.5   0.4.0  0.5.0   0.14.0   0.14.0   3.4.6   0.5.0   0.4.0  0.9.3  0.5.2   4.0.0  4.7.2   1.2.1   0.60.0   0.98.4   4.2.0   1.6.1   0.6.0   1.5.2  1.4.5   4.1.0  1.7.0   1.4.0   1.5.1   4.0.0   1.3.1   1.5.1   1.4.4   3.4.5   1.3.1   2.2.0   2.4.0   2.6.0   2.7.1   1.4.6   1.0.0   0.6.0   0.5.0  2.1.0  0.8.2   3.4.6  1.5.2  5.2.1   0.80.0   1.1.1   0.5.0  1.7.0  4.4.0   0.10.0   0.6.1  0.7.0  1.2.1  0.15.0   HDP  2.3   July  2015   4.2.0   Ongoing  InnovaFon  in  Apache 0.96.1   0.98.0   0.9.1   0.8.1  
  • 23. 23   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   HDP  delivers  a  completely  open  data  plaSorm   Hortonworks  Data  PlaSorm  2.3   Hortonworks  Data  PlaSorm  provides  Hadoop  for  the  Enterprise:  a  centralized  architecture  of  core   enterprise  services,  for  any  applicaKon  and  any  data.   Completely Open •  HDP incorporates every element required of an enterprise data platform: data storage, data access, governance, security, operations •  All components are developed in open source and then rigorously tested, certified, and delivered as an integrated open source platform that’s easy to consume and use by the enterprise and ecosystem.     YARN: Data Operating System (Cluster  Resource  Management)   1 ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ApachePig ° ° ° ° ° ° ° ° ° ° HDFS (Hadoop Distributed File System)     GOVERNANCE   BATCH, INTERACTIVE & REAL-TIME DATA ACCESS Apache Falcon ApacheHive Cascading ApacheHBase ApacheAccumulo ApacheSolr ApacheSpark ApacheStorm Apache Sqoop Apache Flume Apache Kafka     SECURITY   Apache Ranger Apache Knox Apache Falcon     OPERATIONS   Apache Ambari Apache Zookeeper Apache Oozie Apache Atlas Apache Cloudbreak Apache Atlas
  • 24. 24   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Hortonworks  Reference  Architecture  
  • 25. 25   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   1600+ Partners 3000+     members   15,000+      Weekly  visitors   ParFcipaFng  with  a  Growing  and  Thriving  Ecosystem  
  • 26. 26   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Why  Hortonworks?   Powering  the  Future  of  Data  
  • 27. 27   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Hortonworks  Influences  the  Apache  Community   AP ACHE  HADOOP  COMMITTERS   We  Employ  the  Commi^ers   one  third  of  all  commiiers  to  the  Apache®   Hadoop™  project,  and  a  majority  in  other   important  projects   Our  Commi^ers  Innovate   and  expand  Open  Enterprise  Hadoop   We  Influence  the  Hadoop  Roadmap   by  communicaKng  important  requirements   to  the  community  through  our  leaders  
  • 28. 28   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   STORAGE   STORAGE   Hortonworks  Provides  Full  Lifecycle  Support     ARCHITECT   &   DEVELOP   DEPLOY   OPERATE   Project  1   Project  5   Project  4   Project  3   Project  2   Project  6   EXPAND   Hortonworks  ExperFse   from  the  original  architects  of     Apache  Hadoop  and  Apache  NiFi   Annual  SubscripFons   align  your  success  with  ours   Apache  Commi^ers   advocate  for  the  requirements  of  our   customers  and  provide  them  roadmap   visibility  to  help  guide  their  journey   Expert  ConsulFng  and  Training   help  you  and  your  team  get  the  most     from  your  Open  Data  Pla[orms  
  • 29. 29   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Hortonworks Training & Certification
  • 30. 30   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Hortonworks  Delivers  ProacFve  Support   Hortonworks  SmartSense™   with  machine  learning  and     predicKve  analyKcs  on  your  cluster     Integrated  Customer  Portal   with  knowledge  base  and     on-­‐demand  training   Knowledge   Base   Integrated  Customer  Portal   On-­‐Demand     Training   Customer  Environment   Any  cloud  •  Hybrid  Environment  •  MulK-­‐tenant   Hortonworks  SmartSense  
  • 31. 31   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   About  Hortonworks   Customer  Momentum   Ã  ~800  customers  (as  of  November  4,  2015)   Ã  152  customers  added  in  Q3  2015   Ã  Publicly  traded  on  NASDAQ:  HDP   The  Leader  in  Connected  Data  PlaSorms   Ã  Hortonworks  DataFlow  for  data  in  moKon   Ã  Hortonworks  Data  Pla[orm  for  data  at  rest   Ã  Powering  new  modern  data  applicaKons   Partner  for  Customer  Success   Ã  Leader  in  open-­‐source  community,  focused     on  innovaKon  to  meet  enterprise  needs   Ã  Unrivaled  support  subscripKons   Founded  in  2011     Original  24  Architects,  Developers,     Operators  of  Hadoop  from  Yahoo!   800+   E M P L O Y E E S   1500+   E C O S Y S T E M   P A R T N E R S  
  • 32. 32   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Thank  You  
  • 33. 33   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Securing  Your  Data  with  Tag-­‐Based  Access  Policies   Manage  Access  Policies     and  Audit  Logs   Track  Metadata       and  Lineage  
  • 34. 34   ©  Hortonworks  Inc.  2011  –  2016.  All  Rights  Reserved   Data-­‐Defined  Cyber  Security  –  Apache  Metron  (incubaFng)                          Enriched  360                                    Correlated                                              Searchable                                                    Discoverable                                                                                                      3rd  Party  Feeds                            StaFc  Rules                    ML  Models          IOC  Sharing                                                                                              Parsers                              Enrichers          Threat  Intel   UI  Widgets                    SIEM                      PCAP  Replay                                Evidence  Store                                        HunFng  PlaSorm     Check  Out  the     Technical  Preview!   Tracing  the  Flow  of  a  Security  Telemetry  Event  though  Metron   Pluggable   Framework   Security   ApplicaFon   Security     Data  Lake   Threat   Intelligence