The Briefing Room with Dr. Robin Bloor and Cirro
Live Webcast on February 11, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=0ec1fa381886313cc06d841015c65898
As information ecosystems continue to expand, businesses are searching for ways to combine traditional analytics with a new source of insight: Big Data. But with data flooding in from all kinds of sources, fast access and performance at scale can easily become an issue. One effective approach for solving this challenge is data federation, a method that involves taking the analytical processing to the data, allowing streamlined access to multiple data sources without the expensive ETL overhead or building of semantic layers.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains how the prevalence of distributed data calls for a new approach to Big Data. He will be briefed by Mark Theissen of Cirro, who will tout his company’s Data Hub, a data federation solution that provides a single point of access to all enterprise data assets without excessive data movements, preprocessing or staging. He will discuss how data federation differs from virtualization and ETL approaches, and demonstrate how a Cirro deployment solves the analytics challenge of integrating data silos across the data center – and the cloud – using the BI tools you already have on your desktop for real-time distributed analytics.
Visit InsideAnlaysis.com for more information.
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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!
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Mission
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Topics
This Month: BIG DATA
March: CLOUD
April: BIG DATA
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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Cirro
! Cirro provides a single method to access any type of data,
on any platform, in any environment
! Its product suite consists of Cirro Data Hub, Analyst for
Excel and Multi Store – all designed to remove complexity
from Big Data analytics
! Cirro’s products are cloud based and can run in public,
private and on-premise environments
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Guest: Mark Theissen
Mark is CEO at Cirro. He is a respected analytics and data
warehousing expert with more than 22 years in the industry.
Most recently Mark was the worldwide data warehousing
technical lead at Microsoft following the acquisition of
DATAllegro. At DATAllegro Mark was the COO and a member
of the board of directors. Prior to joining DATAllegro, Mark
was Vice President and Research Lead at META Group
(Gartner Group) for Enterprise Analytics Strategies, covering data warehousing,
business intelligence and data integration markets. Before META, Mark was VP
of Professional Services at Accruent where he was responsible for domestic and
overseas services and operations. Mark has a BS in Computer Information
Systems from Chapman University and a MBA from the University of California,
Irvine.
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Perceptions & Questions
Analyst:
Robin Bloor
28.
29. The Visible “Big Data” Trend
u Corporate data volumes
grow at about 55% per
annum - exponentially
u Data has been growing at
this rate for, maybe, 40
years
u There is nothing new
about big data; it clings to
an established exponential
trend
30. The Invisible Trend: Moore’s Law Cubed
u The biggest databases are new
databases
u They grow at the cube of Moore’s
Law
u Moore’s Law = 10x every 6 years
u VLDB: 1000x every 6 years
• 1991/2 megabytes
• 1997/8 gigabytes
• 2003/4 terabytes
• 2009/10 petabytes
• 2015/16 exabytes
31. Whys and Wherefores?
u Why do we assemble such gargantuan heaps of
data?
u While the data volume has grown like bamboo
in spring, the size of executables has not?
u Why not just move the processing to the data?
u This is surely an option worth exploring – maybe
it is even one of the foundations for Big Data
Architecture…
33. Questions are Easy, Answers Difficult
The
WORKLOAD
Conundrum
The
DISTRIBUTION
Conundrum
The DATA
FLOW
Conundrum
The REAL-TIME
Conundrum
34. u What are the primary applications where Cirro
makes a big impact?
u What is (roughly) the largest number of data
sources Cirro federates in any implementation?
u What’s the most resource deployed for the
largest Cirro implementation? How much
memory?
u How does “fault tolerance” work?
35. u How difficult is it to develop applications
employing Cirro? Is it significantly different to a
DBMS?
u Are any companies adopting this technology
strategically?
u Which technologies/companies do you regard as
competition?
37. This Month: BIG DATA
March: CLOUD
April: BIG DATA
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Upcoming Topics
2014 Editorial Calendar at
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