Big Data for Managers
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(14-May-2020) updated content on open source, cloud computing, big data offerings by cloud vendors, multi-cloud, hybrid cloud and edge computing and integrated big data service providers Cloudera and MapR. As most organizations are moving towards public cloud, these lectures will provide the latest information on these technologies for you. I am sure you will like this content.
This course has benefited students in more than 50 countries and as an instructor, 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