This is a very short introduction to the BigData processing utilizing Opensource technologies.

1. Big-Data Processing utilizing
Open-Source Technology Stack
By
Amir Sedighi
http://www.linkedin.com/in/amirsedighi
@amirsedighi
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2. References
● http://www.slideshare.net/BernardMarr/140228-big-data-slide-share?qid=017848e
2-9e2a-4dc3-963c-52b6a90fba2a&v=default&b=&from_search=1
● http://www.forbes.com/fdc/welcome_mjx.shtml
● ZYMR Spark Your Real-Time Big Data Analytics
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● http://dataconomy.com
● https://datakulfi.wordpress.com/2013/03/27/big-data-open-source-technology-landsca
pe/
● http://www.slideshare.net/andrefaria/big-data-abc?qid=1ac97e4a-4acc-460a-b3f8
-9122f7210440&v=qf1&b=&from_search=12
● https://wiki.apache.org/hadoop/PoweredBy

3. Data Explosion
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4. Data Explosion
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5. ● Big-Data is that everything we do is increasingly
leaving a digital trace which we (or others) can
gather, use and analyze.
– Data Providers
● Business Companies
● People
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6. Volume, Velocity, Variety
● “There was 5 exabytes of
information created between
the dawn of civilization
through 2003, but that much
information is now created
every 2 days, and the pace is
increasing.” Eric Schmidt
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7. Big-Data Processing
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8. How to provide a
Big-Data processing platform
using commodity machines?
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9. Vertical or Horizontal?
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10. Scale Up vs Scale Out
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11. Scale Up vs Scale Out
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12. Big-Data Processing
Open-Source Technology Stack
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13. Map-Reduce
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14. Hadoop Framework
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15. Apache Hadoop Main Projects
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16. Linux and Ubuntu 14.10 Release Conf 16

17. Data Stores
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● Data Stores
– KeyValue
– Graph
– Columnar
– Document Store
– In Memory

18. Data Transfer
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● Apache Flume
● Apache Sqoop

19. Search
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● Elasticsearch
● Apache SolR

20. Messaging and Queuing
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● Apache Kafka
● ZeroMQ

21. Log Management
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● ELK
● Logstash
● FluentD

22. Stream Processing
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● Apache Storm
● Apache Samza
● Apache Spark

23. Machine Learning
● Apache Mahout
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● MLLib
● GraphX

24. Questions?
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