Strategies for Landing an Oracle DBA Job as a Fresher
Freeform dynamics
1. Copyright 2013 Freeform Dynamics Ltd 1
Big Data, Analytics and the
Future of Data Centres
Where are we and where are we going?
www.freeformdynamics.com
Tony Lock – Programme Director
tony@freeformdynamics.com
www.freeformdynamics.com
VMUG Meeting, Manchester February 12, 2013
2. Copyright 2013 Freeform Dynamics Ltd 2
About Freeform Dynamics
Industry analyst firm
Track IT industry developments and offerings
Track the evolution of IT related activity and needs in business
Advise both end user organisations and suppliers
Research approach
IT vendor and service provider briefings
Large scale studies - face to face, telephone and online
Community research programme
Investigate strategy, business case, architecture, best practice
Vendor patronage model allows free distribution
Media partnerships for both input and output
3. Copyright 2013 Freeform Dynamics Ltd 3
Agenda
Big data and Analytics
Where are we today?
The evolution of the data centre
Visions of the future
Will we ever reach Nirvana?
Closing thoughts
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Big Data
What is it?
Is anyone doing it?
The only game in
town?
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Defining Big Data?
Analogies
Panning for gold
Finding the needle in the hay stack
Identifying a weak signal in a very noisy environment
Find valuable patterns, trends, correlations, etc. in noisy,
unstructured, often complex, and high volume data sets
Doing analytics better / differently?
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How much do you agree or disagree with the following
statements?
0% 20% 40% 60% 80% 100%
The emergence of advanced storage, access and
analytics solutions means the end of the
traditional RDBMS
Regardless of substance and reality of emerging
technologies and techniques, the term ‘big
data’ is currently being over-hyped by IT
vendors in an unhelpful way
I have a clear understanding of what the term
‘big data’ means
5-Totally agree 4 3 2 1-Totally disagree Unsure
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The three Vs of Big Data
Volume
Variety
Velocity
Rule of thumb
Generally think
of Big Data
when two of
these three
apply
High physical volumes with low value
density
Different sources and formats or
information
Rapid rate of data movement, generation
or acquisition
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The concept of value density
Traditional search and
document management
Traditional BI and data
warehousing
High value density
High value densityLow value density
Low value density
Structured
Unstructured
Structured
Unstructured
BIG
DATA
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What level of growth are you seeing in the following
types of data within your organisation?
0% 20% 40% 60% 80% 100%
5 (Extremely high growth) 4 3 2 1 (No growth)
Structured data
(e.g. tabular data in RDBMSs)
Unstructured data
(e.g. documents, messages,
multimedia content, etc.)
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In what form is your organisation’s most valuable or critical data
held (i.e. your crown jewels in information terms)?
0% 10% 20% 30% 40% 50%
Exclusively structured
Mostly structured
Equal split
Mostly unstructured
Exclusively unstructured
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How is this changing?
0% 20% 40% 60% 80% 100%
Steady
shift
(25%)
Steady
shift
(21%)
No
change
(43%)
Rapid shift
towards value in
unstructured
data
(4%)
Rapid shift
towards value in
structured data
(7%)
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To what degree does your organisation exploit its
information assets for analysis and decision making?
0% 20% 40% 60% 80% 100%
5 (Fully) 4 3 2 1 (Very poorly)
Structured data
(e.g. tabular data in RDBMSs)
Unstructured data
(e.g. documents, messages,
multimedia content, etc)
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Use of traditional and emerging technologies
0% 20% 40% 60% 80% 100%
Legacy databases and file systems
General purpose RDBMS servers
High performance RDBMS configurations
OLAP multi-dimensional database systems
Write once read many (WORM) databases
Rule-based stream processing engines
In memory databases
Scale-out storage architectures
Distributed indexing and search
Distributed data analytics engines
5 (Extensive use) 4 3 2 1 (Not used at all) Unsure
-60% -40% -20% 0% 20% 40% 60%
Less use More use
Current level of use Change over next 3 years
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How much do you agree or disagree with the following
statements?
0% 20% 40% 60% 80% 100%
Developments in advanced storage, access and analytics are allowing
us to tackle problems today that were either too hard or too…
Developments in advanced storage, access and analytics are allowing
us to take different and better approaches to tackling some key…
Vendors and consulting firms are well geared up to providing us with
the support and services we need to take advanced storage, access…
We have a clear idea of the business benefits available to us through
the use of big data technologies and solutions
We have a clear idea of the advanced data storage and big data
analytic technologies that are becoming available
Database vendors are well geared up to support their customers with
appropriate licensing and commercial arrangements as data related…
5-Totally agree 4 3 2 1-Totally disagree Unsure
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Elephants in the room
Access to data – what data is there and where is it?
Are there governance / regulatory / legal restrictions in play
concerning certain data sets?
Skill shortage?
IT skills
Numerical skills in user base
Just what questions could ‘Big Data’ help with?
How do we exploit any results we generate?
Feedback into ‘mainstream systems’
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Data Centre Evolution
Where are we now?
‘Perfect Visions’
Will we ever get to Nirvana?
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How much have you virtualised the following elements of your IT
landscape?
0% 20% 40% 60% 80% 100%
Your x86 server
estate
Storage infrastructure
Your corporate
network
Your desktop
environment
Totally Extensively Partially A bit Not at all Unsure
Enterprise 481 respondents
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How much have you architected your IT infrastructure in the
form of shared resource pools such a private clouds?
Unsure
6%
Not at all
40%
A bit
19%
Partially
20%
Extensively
11%
Totally
4%
Enterprise 481 respondents
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YOUR VISION FOR DATA CENTRE COMPUTING
Following charts based on this question:
Putting all of the existing constraints and the current
state of the industry to one side for a minute, how
desirable would the following be as part of your perfect
IT vision?
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0% 20% 40% 60% 80% 100%
All/most of our IT
requirements would be
fulfilled via hosted cloud
services
All/most of our own IT
infrastructure would be
based on private clouds
Highly desirable-5 4 3 2 Not at all desirable-1 Unsure or N/A
THE CLOUD HOSTING THING (Perfect IT Vision)
Enterprise 481 respondents
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THE WHOLE CLOUD THING
0% 20% 40% 60% 80% 100%
All/most of your IT
requirements are fulfilled
via hosted cloud
services
All/most of your in-house
(or co-located) IT
infrastructure is based
on private cloud
architecture
Already there Within 1 yr Within 3 yrs Within 5 yrs
Within 10 yrs Later Never Don't know
Enterprise 481 respondents
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0% 20% 40% 60% 80% 100%
We’d be able to provision workloads and new systems capacity on our
private clouds with a few clicks on a management console
Automation would mean that shared resource usage was continually
optimised as demands fluctuate, with no human intervention
We’d be able to migrate applications and workloads back and forth
between public and private clouds with ease
Hybrid cloud management capability would allow us to take an agnostic
view of resources, mixing and matching internal and external capacity
freely
We would have end-to-end visibility across on-premise and hosted
systems for management and troubleshooting purposes
We would have a consistent/joined-up way of managing security and
access across in-house and hosted systems
We would have a consistent/joined-up way of managing and protecting
data across in-house and hosted systems
We’d be taking a unified approach to operations and management across
servers, storage, networking, security, etc
Highly desirable-5 4 3 2 Not at all desirable-1 Unsure or N/A
OPERATIONS & MANAGEMENT (Perfect IT Vision)
Enterprise 481 respondents
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OPERATIONS AND MANAGEMENT
0% 20% 40% 60% 80% 100%
New workloads and systems capacity are generally provisioned
with just a few clicks on a console
Use of key shared resources is continually optimised as
demands fluctuate, with no human intervention
You can quickly and easily move workloads back and forth
between public and private clouds
An agnostic view of resourcing means choices between internal
and external deployment are made purely on requirements and
fitness for purpose
You have end-to-end operational visibility across on-premise and
hosted systems
You have a consistent/joined-up way of managing security across
in-house and hosted systems
You have a consistent/joined-up way of managing data across in-
house and hosted systems
Already there Within 1 yr Within 3 yrs Within 5 yrs
Within 10 yrs Later Never Don't know
Enterprise 481 respondents
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0% 20% 40% 60% 80% 100%
Server, storage, networking, security and other specialists
would be working together seamlessly as part of a fully
integrated ops team
Other IT teams (developers, testers, support staff,
departmental IT, etc) would have self-service provisioning
capability to obtain IT resources
Non-technical users would have self-service provisioning
capability for new applications and services
IT activity and investment would revolve around the concept of
business services rather than systems
We would be able to easily and accurately charge or report IT
costs back to the business based on activity or consumption
Highly desirable-5 4 3 2 Not at all desirable-1 Unsure or N/A
ORGANISATION & SERVICES (Perfect IT Vision)
Enterprise 481 respondents
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ORGANISATION AND SERVICES
0% 20% 40% 60% 80% 100%
Self-service provisioning is in
place for IT teams
Self-service provisioning is in
place for end users
IT activity and investment
revolves around the concept
of business services rather
than systems
You can easily and accurately
charge or report IT costs back
to the business based on
consumption
Already there Within 1 yr Within 3 yrs Within 5 yrs
Within 10 yrs Later Never Don't know
Enterprise 481 respondents
27. Copyright 2013 Freeform Dynamics Ltd 32
How much are the following standing in the way of progressing
towards the vision?
0% 20% 40% 60% 80% 100%
Inability of suppliers to deliver on visions and promises
Lack of interest/appreciation from senior management
The business not ready to upset the status quo
IT not ready to upset the status quo
Cultural impediments to investment in shared infrastructure
Ingrained IT funding models don’t support new ways of
working
Historical under-investment means the mountain’s too high to
climb
Lack of a formally defined vision and strategy
We simply don’t have the time, resources or budget to focus
on anything other than short term priorities
Big impediment Significant challenge Minor challenge Not a problem Unsure
Enterprise 481 respondents
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When it comes to driving forwards, how is it playing out, or
how do you think it’s going to play out in your organisation?
Other
4%Things will be left largely
as they are for the
foreseeable future
18%
Just let adoption of
modern architectures,
tools and techniques
creep along in an ad hoc
manner
20%
Build a modern
environment for new stuff,
and migrate older
systems into it
incrementally
43%
Build a modern
environment for new stuff,
and leave older systems
where they are
11%
Single big
transformational initiative
to modernise things
across the board
4%
Enterprise 481 respondents
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Summing Up
Can you have you cake
(OK Apple) and eat it?
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Moving forwards
• Understanding is needed
• Communicate – often and in language business users can understand
• Ensure governance processes are ‘big data aware’
Senior business
awareness raising
• Proactive local involvement in planning/prioritisation
• Don’t forget about getting ‘big data’ derived results back into business use
• Clear policies/discipline around data usage
Minimisation of ad
hoc adoption
•Monitor usage patterns to spot trends early
•Don’t get hung up on transient fads and fashions
•Embrace, substitute or block more persistent activity
Identify and deal with
real business issues
•More of an orchestration approach to IT leadership
•Architect systems with hard core and flexible edges
•Virtualise the edge to handle diversity and personal use
Facilitate flexibility via
core IT
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Adoption attitudes and tactics
Resist new ideas and solutions
Allow new stuff to creep in passively
Ad hoc opportunistic adoption
Draw a line, target new apps only
Establish beachhead, then expand
Big bang migration of everything
Recommended
by most early
movers
Recipe for
disappointment
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Available for download now:
Big Data and Analytics
Dazzling new solutions or irritating new hype?
Available from www.freeformdynamics.com
http://www.freeformdynamics.com/fullarticle.asp?aid=1590
A Vision for the Data Centre
Are you a Mover, Dreamer or Traditionalist?
Available from www.freeformdynamics.com
http://www.freeformdynamics.com/fullarticle.asp?aid=1604
MB to modify to tune to how she likes to define the BD problem
Emerging foundation for consistent pundit/vendor viewA bit contrived, but useful, and need to know because the 3Vs and becoming increasingly prominent
When you look at some of the information feeds, including structured (logs, M2M, etc) and unstructured (social, web), along with unstructured internal sources, you find a lot of them are very ‘dilute’ when it comes to valueThis these are the areas put into the ‘too difficult’ or ‘not cost effective’ to solve categoryThis is where parallel, distributed scale-out architectures – aka Big Data come inStress that it is not just about unstructured – e.g. one of the most common starting points for IT departments cutting their teeth is systems log file analysis
But not just about Hadoop. Players like EMC, HDS, HP, IBM, Oracle and others all have offerings in the Big Data arenaZooming out, here are some of the common categories (there are many ways of categorising, this is more of a stack view)Scale out storage can be used for large traditional warehouses as well as big dataDistributed analytics can run on proprietary grids as well as things like HadoopThe point being that no element of Big data is exclusiveIndeed there is nothing exclusive about big data at all – it will live alongside existing solutions (see next slide_
Has advantages that derivative insights are a lot more accessible when extracted from Big Data environment and placed in a traditional environment – skills sets/familiarity, toolset availability, well established integration and propagation mechanismsm,etc