This document discusses big data analytics. It provides links to resources on big data from different views, the roles in big data, and the data analytics lifecycle. It also gives tips for optimizing the use of big data, including moving big data out of IT silos, separating dirty and clean data, focusing on predictive analytics, and developing skills. Additionally, it lists 8 trends in big data analytics such as big data in the cloud, Hadoop as the new data operating system, big data lakes without prior database design, more predictive analytics, SQL on Hadoop, more and better NoSQL, deep learning, and in-memory analytics. The document concludes with an invitation for questions.

1. Big Data Analytics
Asst. Prof. Dr. Jirapun Daengdej
Faculty of Science and Technology
Assumption University
jirapun@scitech.au.edu
1

2. http://www.qlik.com/us/explore/products/big-data 2

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/

5. Big Data Analytics
http://www.clickz.com/clickz/column/2174275/aligning-marketing-strategy-talent 5

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

10. Q & A
10