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Benvenuti - Open Source Day 2014

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Benvenuti
Sessione Big Data & Collaboration
Davide Del Vecchio
Principal Domain Architect
Roma, 6 novembre 2014
Agenda
Orario
Titolo
Relatore
14.15
Big / Open Data: Strategia e
roadmap a cura di Red Hat
Davide Del Vecchio, Red Hat
14.45
Soluzioni Big Data IBM
Marco Giovacchini, IBM
15.15
The Future of Collaboration: Secure,
Private and Social
Brendan Cosgrove, Zimbra
15.45
Zimbra Open Source & LibreOffice
Paolo Storti, Studio Storti
16.15
Alfresco One
Il Nuovo modo di fare ECM
Silvia Speranza, Alfresco
17.00
Estrazione premi e chiusura
Sala Plenaria
BIG DATA
BIG
APPLICATION
DEVELOPMENT
DRIVERS
SOCIAL
MOBILE
CLOUD
3
RED HAT Confdental
Open is more than a modifer. It is a key driver of innovaton.
OPEN
SOURCE
SOFTWARE
DISRUPT
OPEN
SOURCE
COMMUNITY
COMMODITIZATION
INNOVATION
Open source innovaton has redefned how enterprises think about data
Democratzed the extracton of business value from data
How do I commoditze Big Data*
* see Barroso, Clidaras Hölzle The Datacenter as a Computer: An
Introducton to the Design of Warehouse-Scale Machines, Second editon
Big Data Solutons from Red Hat
Act
Business User
Discover
App Developer
Integrate
Architect
Ingest
Data Center Operator
9
Open Maters. Choice Maters. Agile Maters.
Seamless transiton to the open hybrid cloud
STANDARDIZE
VIRTUALIZE
REALIZE
Open
Hybrid architectures, Hybrid deployment models (public, private,
hybrid)
Hybrid
Open innovaton, Open standards, Open APIs
Cloud
Portable, Scalable, On-demand, Measurable
Big Data innovaton cannot happen in a bubble
Strong partnerships with industry leaders and open source communites
Hortonworks and Red Hat
Greater agility and choice for Hadoop customers
Platorm as a Service
SQOOP
FLUME
Big Data Platorm
AMBARI
FALCON
OOZIE
KNOX
AMBARI
INTEGRATION
AMBARI
INTEGRATION
Infrastructure as a
Service
13
MAP REDUCE
HIVE
PIG
HBASE
ACCUMULO
STORM
YARN
HADOOP DISTRIBUTED
FILE SYSTEM
OTHERS
Benefts of Using Jboss Data
Virtualizaton with Hortonworks Data
Platorm*
There are several benefits to using DV and HDP together.
Virtual Databases are created for controlling access to data in a data lake while giving lines
of business the autonomy they seek.
New data in Hadoop combines with the data in traditional sources without moving or
copying data.
With all the standards available for client consumption such as JDBC, ODBC, OData,
REST/SOAP Web Services, a variety of Business Intelligence and analytic tools can be
used.
With large amounts of data performance is always a concern in the enterprise.
Caching is provided for faster access to data. Security of all data especially sensitive data
is also a concern in the enterprise.
Consistent security policies are provided across multiple Datasources.
* see htp://hortonworks.com/blog/red-hat-jboss-data-virtualizaton-hdp-part1/
14
A sentment analysis soluton
15
Cloudera and Red Hat
Newly announced alliance on product integraton and joint go-to-market programs
Agile
JBoss Data Virtualizaton
OpenJDK
OpenShif
Cloudera Impala
Hive
Kite
Open, Enterprise Grade
Red Hat Enterprise Linux
Red Hat Storage
Cloudera Manager
Cloudera Navigator
Cloud Ready
OpenStack Platorm
CloudForms
Cloudera Director
Cloudera Enterprise
Data Integraton
Management
Deployment
Go To Market
16
Coordinated support, marketng and documentaton
Most Customers Combine Multple Technologies
C o m b in e s tru c tu re d a n d u n s tru c tu re d a n a ly s is
●
●
A u g m e n t d a ta w a re h o u s e w ith a d d itio n a l e x te rn a l s o u rc e s , s u c h a s s o c ia l m e d ia
C o m b in e h ig h v e lo c ity a n d h is to ric a l a n a ly s is
●
●
A n a ly z e a n d re a c t to d a ta in m o tio n ; a d ju s t m o d e ls w ith d e e p h is to ric a l a n a ly s is
R e u s e s tru c tu re d d a ta fo r a n a ly s is
●
●
E x p e rim e n ta tio n a n d a d -h o c a n a ly s is w ith s tru c tu re d d a ta
Try it out!
https://github.com/DataVirtualizationByExample/HortonworksUseCase1
http://hortonworks.com/hadoop-tutorial/evolving-data-stratagic-assetusing-hdp-red-hat-jboss-data-virtualization/
Thank You
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