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Big Data Analytics
Asst. Prof. Dr. Jirapun Daengdej
Faculty of Science and Technology
Assumption University
jirapun@scitech.au.edu
1
http://www.qlik.com/us/explore/products/big-data 2
Big Data!
3
Created by Rachel Jones of Wink Design Studio using: © Tagxedo.com.
Big Data from Different Views
4
http://www.slideshare.net/kevinlukemay/tnooz-amadeus-sept-2013-final
http://www.mssqltips.com/sqlservertip/3132/big-data-basics--part-1--introduction-to-big-data/
Big Data Analytics
http://www.clickz.com/clickz/column/2174275/aligning-marketing-strategy-talent 5
Roles in “Big Data”
https://infocus.emc.com/william_schmarzo/new-roles-in-the-big-data-world/
6
Data Analytics Lifecycle: Only Budget is NOT Enough
https://infocus.emc.com/david_dietrich/the-genesis-of-emcs-data-analytics-lifecycle/
NO
NO
NO
NO
If “NO” for (1), then forget it!!!
If “NO” for (2), then need to prepare
If “NO” for (3) & (4), then get help
7
Some Tips to Fully Use of Big Data
http://www.cloudave.com/34014/optimizing-use-big-data-2014-4-essential-tips/
Optimizing the Use of Big Data in 2014 – 4 Essential Tips
1. Move Big Data Out of the IT Silo
2. Focus on Separating Dirty and Clean Data
3. Predictive Analytics and Big Data
4. Skill Development
8
8 Big Trends in Big Data Analytics
• Big data analytics in the cloud
• Hadoop: The new enterprise data operating
system
• Big data lakes: No more prior design of database
• More predictive analytics
• SQL on Hadoop: Faster, better
• More, better NoSQL
• Deep learning
• In-memory analytics
http://www.computerworld.com/article/2690856/8-big-trends-in-big-data-analytics.html
9
Q & A
10

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Big Data Analytics

  • 1. Big Data Analytics Asst. Prof. Dr. Jirapun Daengdej Faculty of Science and Technology Assumption University jirapun@scitech.au.edu 1
  • 3. Big Data! 3 Created by Rachel Jones of Wink Design Studio using: © Tagxedo.com.
  • 4. Big Data from Different Views 4 http://www.slideshare.net/kevinlukemay/tnooz-amadeus-sept-2013-final http://www.mssqltips.com/sqlservertip/3132/big-data-basics--part-1--introduction-to-big-data/
  • 6. Roles in “Big Data” https://infocus.emc.com/william_schmarzo/new-roles-in-the-big-data-world/ 6
  • 7. Data Analytics Lifecycle: Only Budget is NOT Enough https://infocus.emc.com/david_dietrich/the-genesis-of-emcs-data-analytics-lifecycle/ NO NO NO NO If “NO” for (1), then forget it!!! If “NO” for (2), then need to prepare If “NO” for (3) & (4), then get help 7
  • 8. Some Tips to Fully Use of Big Data http://www.cloudave.com/34014/optimizing-use-big-data-2014-4-essential-tips/ Optimizing the Use of Big Data in 2014 – 4 Essential Tips 1. Move Big Data Out of the IT Silo 2. Focus on Separating Dirty and Clean Data 3. Predictive Analytics and Big Data 4. Skill Development 8
  • 9. 8 Big Trends in Big Data Analytics • Big data analytics in the cloud • Hadoop: The new enterprise data operating system • Big data lakes: No more prior design of database • More predictive analytics • SQL on Hadoop: Faster, better • More, better NoSQL • Deep learning • In-memory analytics http://www.computerworld.com/article/2690856/8-big-trends-in-big-data-analytics.html 9