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Big Data
● What is it ?
● What trends in IT support it ?
● Some examples
● What tools are used ?
● The future ?
Big Data – What is it ?
● Very large data set volumes
● Very long / unacceptable processing times
● Very large data veloci...
Big Data – Supporting Trends
● Moore's Law
An observation that the number of transistors on integrated circuits doubles
ev...
Big Data – Supporting Trends
● Kryder's Law
The density of storage is increasing and the cost decreasing at a rate faster
...
Big Data – Supporting Trends
● Butter's Law
Relates to network capacity and states that the cost of sending data over an
o...
Big Data – Supporting Trends
● Parallel Processing
Task parallelism, breaking the task down into its constituent parts and...
Big Data – Examples
● NASA Climate Simulation
32 petabytes
● The Large Hadron Collider
25 petabytes annually, 200 petabyte...
Big Data – Tools
● Hadoop
Hadoop is often used at the server level to organise the cluster along with a
NoSQL database for...
Big Data – The Future
● Data sets will continue to grow
● Storage unit costs will continue to decrease
● Processing costs ...
Contact Us
● Feel free to contact us at
– www.semtech-solutions.co.nz
– info@semtech-solutions.co.nz
● We offer IT project...
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Introduction to Big Data

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A short presentation to introduce the idea of big data in IT, its suporting trends and possible tools.

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Introduction to Big Data

  1. 1. Big Data ● What is it ? ● What trends in IT support it ? ● Some examples ● What tools are used ? ● The future ?
  2. 2. Big Data – What is it ? ● Very large data set volumes ● Very long / unacceptable processing times ● Very large data velocity ( inputs / outputs ) ● Very large varieties of data ● High level of complexity
  3. 3. Big Data – Supporting Trends ● Moore's Law An observation that the number of transistors on integrated circuits doubles every two years.
  4. 4. Big Data – Supporting Trends ● Kryder's Law The density of storage is increasing and the cost decreasing at a rate faster than Moore's Law.
  5. 5. Big Data – Supporting Trends ● Butter's Law Relates to network capacity and states that the cost of sending data over an optical network halves every nine months.
  6. 6. Big Data – Supporting Trends ● Parallel Processing Task parallelism, breaking the task down into its constituent parts and processing them simultaneously.
  7. 7. Big Data – Examples ● NASA Climate Simulation 32 petabytes ● The Large Hadron Collider 25 petabytes annually, 200 petabytes after replication ● Wall mart 2.5 petabytes per hour
  8. 8. Big Data – Tools ● Hadoop Hadoop is often used at the server level to organise the cluster along with a NoSQL database for data storage. ● NoSQL Databases ( non sql ) that use looser consistency models than relational databases. Performance gains via simplification using key value stores. ● MPP Massively parallel processing and analytics databases. Fast for data aggregation but slow for data loading.
  9. 9. Big Data – The Future ● Data sets will continue to grow ● Storage unit costs will continue to decrease ● Processing costs will decrease ● Network capacity will continue to grow ● Data growth may exceed processing capacity
  10. 10. Contact Us ● Feel free to contact us at – www.semtech-solutions.co.nz – info@semtech-solutions.co.nz ● We offer IT project consultancy ● We are happy to hear about your problems ● You can just pay for those hours that you need ● To solve your problems

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