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

A term applied to data sets whose size or type is beyond the ability of
traditional relational databases to capture, manage, and process the data
with low-latency.



Following are the characteristics:
◦ High volume
◦ High velocity
◦ High variety



Big data comes from sensors, devices, video/audio, networks, log files,
transactional applications, web, and social media



Much of it generated in real time and in a very large scale.


It is the use of advanced analytic techniques against very large, diverse
data sets.



It allows analysts, researchers, and business users to make better and
faster decisions using data that was previously inaccessible or unusable.



Using advanced analytics tools like:
◦
◦
◦
◦



Predictive analytics
Data mining
Statistics
Natural language processing

Businesses can analyze previously untapped data sources independent or
together with their existing enterprise data to gain new insights resulting
faster decisions.


To process and analyze a vast array of information in new ways.



To compete in a globally-integrated economy.



Many organizations consider information to be their most valuable and differentiated
asset.



To improve decision-making and
performance throughout the enterprise.



To utilize new data, technology and analysis techniques that exist in almost every
industry.


A service offered by the Data Services Department of the Information Services and
Technology Division.



Enterprise Data Warehouse consolidates data from multiple sources in support of
campus wide decision making.



It is to provide information that is secure, accurate, timely, consistent, integrated,
appropriately detailed, well-organized, and easy to obtain.




Big Analytics Appliance will make your big data problems manageable.
This Appliance helps executives, business managers, IT managers and analysts
leverage breakthrough business insights to:
◦ Take better business decisions resulting in better business results.
◦ Optimize & innovate across business processes with data driven decisions.
◦ Minimize risk, maximize ROI and accelerate time to value
with enterprise ready big data solutions.


According to a recent research into large
enterprises they use and planned use of big data
which indicates that analytics initiatives are
becoming a reality in large organizations.


Contact us:



Phone:

+1.650.232.4400



Fax:

+1.650.232.4405



See more at:

999 Skyway Road, Suite 100
San Carlos, CA 94070 USA

http://www.asterdata.com

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How big data analytics is useful for organizations

  • 1.
  • 2.  A term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency.  Following are the characteristics: ◦ High volume ◦ High velocity ◦ High variety  Big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media  Much of it generated in real time and in a very large scale.
  • 3.  It is the use of advanced analytic techniques against very large, diverse data sets.  It allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable.  Using advanced analytics tools like: ◦ ◦ ◦ ◦  Predictive analytics Data mining Statistics Natural language processing Businesses can analyze previously untapped data sources independent or together with their existing enterprise data to gain new insights resulting faster decisions.
  • 4.  To process and analyze a vast array of information in new ways.  To compete in a globally-integrated economy.  Many organizations consider information to be their most valuable and differentiated asset.  To improve decision-making and performance throughout the enterprise.  To utilize new data, technology and analysis techniques that exist in almost every industry.
  • 5.  A service offered by the Data Services Department of the Information Services and Technology Division.  Enterprise Data Warehouse consolidates data from multiple sources in support of campus wide decision making.  It is to provide information that is secure, accurate, timely, consistent, integrated, appropriately detailed, well-organized, and easy to obtain.
  • 6.   Big Analytics Appliance will make your big data problems manageable. This Appliance helps executives, business managers, IT managers and analysts leverage breakthrough business insights to: ◦ Take better business decisions resulting in better business results. ◦ Optimize & innovate across business processes with data driven decisions. ◦ Minimize risk, maximize ROI and accelerate time to value with enterprise ready big data solutions.
  • 7.  According to a recent research into large enterprises they use and planned use of big data which indicates that analytics initiatives are becoming a reality in large organizations.
  • 8.  Contact us:  Phone: +1.650.232.4400  Fax: +1.650.232.4405  See more at: 999 Skyway Road, Suite 100 San Carlos, CA 94070 USA http://www.asterdata.com