Transcript Big Data - Info-Tech Research Group

Practical IT Research that Drives Measurable Results
Big Data
April 2012
Info-Tech Research Group
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Introduction
In appreciation for your participation in
this survey, we have created this exclusive
summary of results.
The data you provided is being leveraged
in our research.
Thank you for your participation.
This document has these three main sections:
Key Insights
Survey Question Graphs
Respondent Demographics
If you have any questions or concerns please
contact:
Scott Koopman
Panel Coordinator
Info-Tech Research Group
E-mail: [email protected]
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Key Insights
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Survey
Question
Graphs
Respondent
Demographics
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Don’t jump in the car without a map; start with a business
problem, and find a solution that may include big data tools
Organizations are reporting steep increases in
the amount of both structured and unstructured
data they manage.
While most believe they are effective at managing
structured data, they consider themselves
ineffective at managing unstructured data.
But this
does not
necessarily
require an
entirely new
approach to
managing
data.
Don’t hit the panic button just yet! Yes, the volume, velocity, and variety of data is increasing, but
that doesn’t mean that your organization needs a big data solution.
Too many organizations are jumping into big data deployments without knowing the consequences.
Don’t abandon your traditional relational database management systems (RDBMS) just yet. Slow down
and think about what you are going to do with your data before jumping into any new initiatives.
In the big data market, use case is key. Figure out your businesses problems, explore and evaluate
your options, and then select a solution – whether it involves big data technologies or not.
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Your big data solution might be a combination of big data
platforms and relational databases
• Your organization likely uses a relational database to manage your
data. Most organizations surveyed feel that their current databases
are managing their structured data quite well, so why give up on a
good thing?
• Relational databases may no longer be able to handle all of your
data needs and, in that case, adding a big data technology might
be necessary.
• However, because there are still advantages to using SQL
(structured query language) that would be lost in a big data-only
strategy, many organizations are using a combination of new
tools and SQL in order to best manage their data.
Note: This strategy isn’t new.
Organizations already make use
of a number of different
relational database platforms.
Adding a big data database won’t
be without its complications, but
it can be just another database in
the mix.
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Example
An online store has an existing SQL
database that manages its authorization
system and storefront. SQL is necessary in
order to ensure no lost transactions and full
ACID compliance.
The store also tracks its social activity using
a Key/Value database. This database
provides speed and can easily store large
amounts of data, but provides less
consistency than an SQL solution.
However, as social data is not as critical as
transactional, this solution is appropriate.
The store also provides recommendations
to customers about products they might
like. They use a Column database for this
purpose. SQL is not necessary because the
information is not relational.
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Key Insights
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Survey
Question
Graphs
Respondent
Demographics
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Key Insights
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Survey
Question
Graphs
Respondent
Demographics
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Like this? Want more?
Watch your inbox
• Within the coming weeks, Info-Tech will be launching several more
short surveys that will offer similar results to these.
• If you participate, you will receive the results for every project you
participated in.
• To ensure you are included or for more information please email
Scott Koopman
Info-Tech Research Group
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