The document discusses an upcoming webinar on Big Data and SQL. It provides details on the webinar topics, speakers, and the HP Vertica Analytics Platform. The webinar will explore how HP Vertica allows users to navigate and analyze data stored in Hadoop using SQL, avoiding complex ETL processes. It will also discuss how the platform handles both query and analytical workloads and enables exploration of semi-structured data through its Flex Zone.
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Big Data & SQL: The On-Ramp to Hadoop
1. Grab some coffee and enjoy
the pre-show banter before
the top of the hour!
2. Big Data & SQL: The On-Ramp to Hadoop
The Briefing Room
3. Twitter Tag: #briefr
The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh
4. ! Reveal the essential characteristics of enterprise software,
good and bad
! Provide a forum for detailed analysis of today’s innovative
technologies
! Give vendors a chance to explain their product to savvy
analysts
! Allow audience members to pose serious questions... and get
answers!
Twitter Tag: #briefr
The Briefing Room
Mission
5. Twitter Tag: #briefr
The Briefing Room
Topics
This Month: BIG DATA
May: DATABASE
June: ANALYTICS & MACHINE LEARNING
2014 Editorial Calendar at
www.insideanalysis.com/webcasts/the-briefing-room
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The Briefing Room
Analyst: Robin Bloor
Robin Bloor is
Chief Analyst at
The Bloor Group
robin.bloor@bloorgroup.com
@robinbloor
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The Briefing Room
HP Vertica
! Vertica was founded in 2005 by Michael Stonebreaker and
Andrew Palmer; it was acquired by HP in 2011
! HP Vertica Analytics Platform is a grid-based, column-oriented
database management system
! The latest release, Version 7, offers new platform
components that allow for Hadoop exploration and analysis
using SQL
9. Twitter Tag: #briefr
The Briefing Room
Guests
Eamon O Neill, Manager, Product Management, HP Vertica
Eamon leads the product management efforts for the HP Vertica Analytics
Platform. He has more than 15 years of high-tech product management
experience and deep knowledge of mobile applications, software defined
networking and storage, database marketing, and distributed systems. Eamon
had a founding role in the creation of the cloud services platform at BladeLogic
(now BMC Software). In addition to BMC Software, Eamon held product
management, software engineering, and business consulting roles at Hitachi
Data Systems, Unica (now IBM), and Cambridge Technology Partners.
Jeff Healey, Director of Product Marketing, HP Vertica
Jeff leads the product marketing and customer marketing efforts for the HP
Vertica Analytics Platform. Jeff has more than 15 years of high-tech marketing
experience and deep knowledge in messaging, positioning, and content
development. Jeff previously led product marketing initiatives for Axeda
Corporation, an M2M platform for sensor data and the Internet of Things. Prior
to Axeda, Jeff held product marketing, customer marketing, and lead editorial
roles at The MathWorks, Macromedia (now Adobe), Sybase (now SAP), and The
Boston Globe.
26. The Workload Paradigm Shift
u Previously, we viewed
database workloads as
an i/o optimization
problem
u With analytics the
workload is a very
variable mix of i/o and
calculation
u No databases were built
precisely for this – not
even Big Data databases
27. A Process, Not an Activity
u Data analytics is a multi-disciplinary
end-to-end
process
u Until recently it was a
walled-garden, but the
walls were torn down by
• Data availability
• Scalable technology
• Open source tools
u Hadoop has a role here
28. The Hadoop Ecosystem
u Even though it may
not seem so, Hadoop
is in its infancy
u Hadoop’s popularity
guarantees its future
u Its future is also
guaranteed by its
commercial
ecosystem
29. u What do you see as the fundamental division of
workload between Hadoop, Flex Zone and
Vertica?
u Which specific components of the Hadoop
ecosystem do you recommend using?
u Do you support JSON? If so, for which contexts
and in what way?
30. u Is there any special optimization in Vertica
between query and analytical workloads.
u Please describe the discovery and definition of
metadata from Hadoop, through Flex Zone and
into Vertica
u Why do you think Hadoop is important from a
technical perspective?