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Introduction to Big Data Analytics and Data Science
This document provides an introduction to big data analytics and data science, covering topics such as the growth of data, what big data is, the emergence of big data tools, traditional and new data management architectures including data lakes, and big data analytics. It also discusses roles in data science including data scientists and data visualization.
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Introduction to Big Data Analytics and Data Science, led by Komes Chandavimol, focusing on its significance.
Resources including social media clicks and data usage statistics to highlight the data-driven world.
Discusses the rapid expansion of data and the implications for analytics.
An overview of what constitutes Big Data and its characteristics, emphasizing its impact.
Introduction to the tools developed for handling Big Data, with links to further reading.
Comparison of traditional data management architecture with new frameworks, emphasizing Hadoop.
Discussion on Data Lakes, their importance, and advantages over traditional data warehousing.
Key concepts and insights into Big Data Analytics with links to relevant literature and applications.
Key concepts and insights into Big Data Analytics with links to relevant literature and applications.
Explores the roles within a Data Science team, tools used, and different analytic approaches.
Focus on data visualization and design considerations for effective communication of data insights.
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Introduction to Big Data Analytics and Data Science
- 1. Introduction to BigData Analytics and Data Science 1 Cheow Lan Lake, Thailand โกเมษจันทวิมล Komes Chandavimol komes@datascienceth.com 2 เมษายน 2559 วิทยาลัยศิลปะสื่อและเทคโนโลยีมหาวิทยาลัยเชียงใหม่
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- 4. The Growth ofData 4 http://www.adweek.com/prnewser/how-many-times-do-the-worlds-social-media-users-click-every-minute/117427 https://www.domo.com/learn/data-never-sleeps-3-0
- 5. What is BigData? 5 http://www.adweek.com/prnewser/how-many-times-do-the-worlds-social-media-users-click-every-minute/117427 https://www.domo.com/learn/data-never-sleeps-3-0
- 6. The Emergence ofBig Data Tools 6 http://blogs.forrester.com/category/hadoop http://solutions.forrester.com/Global/FileLib/webinars/Big_Data_-_Gold_Rush_or_Illusion.pdf
- 7. Traditional Data ManagementArchitecture 7 http://hortonworks.com/blog/optimize-your-data-architecture-with-hadoop/
- 8. New Data ManagementArchitecture 8 http://hortonworks.com/blog/optimize-your-data-architecture-with-hadoop/
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- 20. Data New Analytic Insights (Information,knowledge, data story) Data Product + Visualization Mass Analytic Tools Recommender systems Machine Learning Complex Event Processing Data Science Team Data ScientistPicture:http://www.clipartpanda.com/categories/scientist-clip-art The Roles of Data Science Doing Data Science by O'Neil et al (2013) DatascienceTh.com Datafication
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- 22. Workshop What would begood data Visualization designer? 22