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There is no such thing as „Big Data‟
The hitchhiker‟s guide to the data universe
Kostas Perifanos, Senior Search and Analytics Engineer
Data Analytics & Visualization Team
19.06.2013
There is no such thing as „Big Data‟ l 19/06/20133
The „Big Data‟ buzzword
Big Data is the top IT buzzword:
• 4Vs: Volume, Velocity, Variety, Veracity
• [Predictive] Analytics
• Social Media Data
• Networking / Graph
• Buzz Buzz Buzz…
There is no such thing as „Big Data‟ l 19/06/20134
The „Big Data‟ buzzword
A not so formal definition
There is no such thing as „Big Data‟ l 19/06/20135
But what‟s this all about?
Is this the whole part of the picture?
• Everybody is trying to do “Big Data”
• Before “Big”, don‟t forget “Data”
“Most companies believe they have „Big Data Problems‟,
What they actually do have is „Big, Data Problems‟”
There is no such thing as „Big Data‟ l 19/06/20136
Dealing with (potentially massive) datasets
The Paradigm Shift – Engineering
Traditional RDBMS – SQL world is perfectly fine for the majority of the
problems we are trying to solve. On top of that, we now have noSQL
technologies to deal with structured, unstructured or semistructured
data
• Escaping common pitfalls:
– Before “Big”, don‟t forget “Data”
– Avoid sub-optimal premature decisions
There is no such thing as „Big Data‟ l 19/06/20137
Dealing with (potentially massive) datasets
The Paradigm Shift – Engineering plus Data science
Choose your tools wisely ..
• Try to avoid over-engineering-but do keep scaling in mind
• Define and store all necessary information
• Let the data speak for itself
• Choose your tools wisely
• Data will guide your engineers to choose the appropriate tools
• Most of the data problems can be solved in a (decent) laptop
There is no such thing as „Big Data‟ l 19/06/20138
Dealing with (potentially massive) datasets
Asking the right questions
• Know your own business
• Are the questions supported by the existing data?
• What will be the impact in case additional data are required?
• What will be the expected/desired profit for your organization?
There is no such thing as „Big Data‟ l 19/06/20139
Dealing with massive datasets
Building “Big Data” teams
• Your asset is your Team – Engineers/Data Scientists/Visualization
experts.
• Use open source where applicable – contribute back to the
community
• Use Lean/Agile Methodologies
– Maintain a strong Product Vision
• Attend conferences / trainings / trends
• Invest in Learning. Always.
There is no such thing as „Big Data‟ l 19/06/201310
‘It is a capital mistake
to theorize before one
has data.’
Sir Arthur Conan Doyle
Thank you

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Social Media World presentation

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  • 2. There is no such thing as „Big Data‟ The hitchhiker‟s guide to the data universe Kostas Perifanos, Senior Search and Analytics Engineer Data Analytics & Visualization Team 19.06.2013
  • 3. There is no such thing as „Big Data‟ l 19/06/20133 The „Big Data‟ buzzword Big Data is the top IT buzzword: • 4Vs: Volume, Velocity, Variety, Veracity • [Predictive] Analytics • Social Media Data • Networking / Graph • Buzz Buzz Buzz…
  • 4. There is no such thing as „Big Data‟ l 19/06/20134 The „Big Data‟ buzzword A not so formal definition
  • 5. There is no such thing as „Big Data‟ l 19/06/20135 But what‟s this all about? Is this the whole part of the picture? • Everybody is trying to do “Big Data” • Before “Big”, don‟t forget “Data” “Most companies believe they have „Big Data Problems‟, What they actually do have is „Big, Data Problems‟”
  • 6. There is no such thing as „Big Data‟ l 19/06/20136 Dealing with (potentially massive) datasets The Paradigm Shift – Engineering Traditional RDBMS – SQL world is perfectly fine for the majority of the problems we are trying to solve. On top of that, we now have noSQL technologies to deal with structured, unstructured or semistructured data • Escaping common pitfalls: – Before “Big”, don‟t forget “Data” – Avoid sub-optimal premature decisions
  • 7. There is no such thing as „Big Data‟ l 19/06/20137 Dealing with (potentially massive) datasets The Paradigm Shift – Engineering plus Data science Choose your tools wisely .. • Try to avoid over-engineering-but do keep scaling in mind • Define and store all necessary information • Let the data speak for itself • Choose your tools wisely • Data will guide your engineers to choose the appropriate tools • Most of the data problems can be solved in a (decent) laptop
  • 8. There is no such thing as „Big Data‟ l 19/06/20138 Dealing with (potentially massive) datasets Asking the right questions • Know your own business • Are the questions supported by the existing data? • What will be the impact in case additional data are required? • What will be the expected/desired profit for your organization?
  • 9. There is no such thing as „Big Data‟ l 19/06/20139 Dealing with massive datasets Building “Big Data” teams • Your asset is your Team – Engineers/Data Scientists/Visualization experts. • Use open source where applicable – contribute back to the community • Use Lean/Agile Methodologies – Maintain a strong Product Vision • Attend conferences / trainings / trends • Invest in Learning. Always.
  • 10. There is no such thing as „Big Data‟ l 19/06/201310 ‘It is a capital mistake to theorize before one has data.’ Sir Arthur Conan Doyle