Big Data Concept
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WELCOME .Netter Tech Summit- 2015 RUET
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Transcript of Big Data Concept
WELCOME.Netter Tech Summit- 2015 RUET
BIG DATA
Md. Delwar HossainSr. Software Engineer, desme Bangladsh.Skype: delwar_databiz
E-mail: [email protected]
Linkedin: delwar-hossain
What is Big Data?
Data Size MeasurementUnit Name
Symbal
Size
Kilobyte KB 10^3
Megabyte MB 10^6
Gigabyte GB 10^9
Terabyte TB 10^12
Petabyte PB 10^15
Exabyte EB 10^18
Zettabyte ZB 10^21
Yottabyte YB 10^24
Big Data Depending on traditional system
Traditional Software Tools
100 MB Document 100 GB Image 100 TB Video
Unable to Send
Unable to View
Unable to Edit
Lots of DataData come from many quarters.
Social media sites
Sensors
Business transactions
Location-based
Dimensions of Big Data
Volume: large volumes of data
Velocity: quickly moving data
Variety: structure, unstructured, images, audios,
videos etc.
Why Big Data?
Business value outcomes tied to
the business strategy resulting
from business decisions.
Higher productivity, faster time
to complete tasks
Lower total cost of ownership
and greater efficiencies in IT
Big Data Technologies Operational
NoSQL
Analytical
Hadoop
Problem in RDBMS Scalability Semi-structured and
unstructured Data.
High Velocity
Some concept NoSQL Schema less : data structure is not predefined
Focus on retrieval of data and appending new data
Focus on key-value data stores that can be used to locate
data objects
Focus on supporting storage of large quantities of
unstructured data
SQL is not used for storage or retrieval of data
No ACID (atomicity, consistency, isolation, durability)
MongoDB Built for cloud
Scale out architecture
Agility afforded by cloud
computing
Sharding automatically
distributes data evenly across
multi-node clusters
Automatically manages
redundant servers. (replica
sets)
Horizontal scalality
Application
Document Oriented{author:”delwar”,date:new Date(),Topics:’Big Data Concept’,tag:[“tools”,”database”]}
Thank you!
