Data warehouse Vs Big Data
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Data Warehouse vs
Big Data
Lisette Zounon , CC, ALBAdvanced Manual : Technical PresentationsProject #4 : Presenting a Technical Paper
Time : 10-12 minutes
Deliver business value through the analysis of data
Data Warehouse or Big Data
A taxonomy of data mind over matter
Matter Data • Data from physical world .
• Measurement data : sourced from various sensors connected to computers and internet .
• Atomic data : comprised of physical events specific to human interactions.
• Derived data: from mathematical manipulation of atomic data , create for meaningful view of business information to humans.
Mind Data • Soft information originating
from the way , humans perceive the world and interact socially within it .
• Multiplex data : image , video and audio information , very large files .
• Textual data : suited for statistical analysis
• Compounded data : hard and soft information , metadata is a significant subset . social media information
Data Warehouse
• Originated from relational database
• Data are sourced solely from other databases within the organization
• Financial systems , customer informations and billing informations etc..
Relational Database
Analytic database Better performance , faster query , efficient
reporting.
Data sizes constantly moving target, as big as you want , getting ever
larger. Allow business to analyze and extract business
value from the immense data sets .
clickstream logs , sensor data , location data ,customer support emails , chat transcripts ,surveillance video, etc..
Big data components
• Big data is in many ways evolution of data warehousing.
• New technologies : Hadoop , MapReduce , NoSQL queries or databases .
Data warehouse Vs Big data
• Data warehouse : ensure consistent and trusted decision making
• Business intelligence works more from prior hypotheses , whereas big data uses statistics to extract hypotheses .
Data warehouse vs Big data
• Single logical storehouse
• Significant overlap in the world of matter : Meaning
• Big Data is the superset of information and processes that have characterized data warehousing .
Conclusion
Data to make effective decision making
Consistent and trusted information
Hard and soft information highly complimentary and mandatory for all
forward looking businesses.
• References
• http://strata.oreilly.com/2011/01/data-warehouse-big-data.html
• oracle database 12c for Data warehousing and Big Data
– Criss Jami, Venus in Arms
“In the age of technology there is constant access to vast amounts of information. The basket overflows;
people get overwhelmed; the eye of the storm is not so much what goes on in the world, it is the confusion of how to think, feel, digest, and react to what
goes on."
Thank you .
end