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 .

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