Dữ Liệu Lớn Dành Cho Nhà Quản Lý

This course covers the required fundamentals about big data technology that will help you confidently lead a big data project in your organization. It covers the big data terminology like 3 Vs of big data and key characteristics of big data technology that will help you answer the question 'How is big data technology different from traditional technology'. You will be able to identify various big data solution stages from big data ingestion to big data visualization and security. You will be able to choose the right tool for each stage of the big data solution. You will see the examples use of popular big data tools like HDFS, Map reduce, Spark, Zeppelin etc and also a demo of setting up EMR cluster on Amazon web services. You will practice how to use the 5 P's methodology of data science projects to manage a big data project. You will see theory as well as practice by applying it to many case studies. You will practice how to size your cluster with a template. You will explore more than 20 big data tools in the course  and you will be able to choose the tool based on the big data problem.

I have recently(24th July 2023) added one hour of content on chatGPT with Top 10 AI tools and four demos on using chatGPT for project managers and data analysis providing visualization of data as well as prescriptive analysis of data.  These lectures and 4 demos will provide the latest information on the AI technologies and how it can benefit an organization. I am sure you will be amazed by this content.

Top companies now offer this course to their employees. I am glad to share some of the  five star comments about the course:

This course really exceeded my expectations! Not only it covers the concepts and the overall view of a Big Data project landscape but it also provides good examples of real case studies, that help reinforce the contents presented. Great course!

This course is great! I have learnt many useful things. The case studies are very enlightening. I strongly recommend. Thank you very much.

otimo tecnicamente, excelente

Didatica muito boa e o conteudo conforme esperado