People and industries are constantly surrounded by data. This data comes in different forms and sizes, but it is omnipresent, and it is growing in size day by day, as well as in its possible applications and technology developments. The recognition of trends and insights into the new technologies and developments ensures growth and sustainability.
This training course provides comprehensive information on a full set of Big Data technology characteristics, trends as well as analysis techniques and software used to analyze Big Data.
The ability to extract, model and analyze information is now possible even with the technologies and software which is freely available in the market. Big Data Analytics can assist organizations identify trends and adjust operational procedures to improve the results, to increase revenue and client experience.
This Big Data Technology Trends & Insights Training course will provide a practitioner approach to identify requirements for the application of data science, how these can be adopted, technologies available, which analytical models may be appropriate to provide valuable data, and how to make sense of Big Data and Analytics.
Participants will learn:
TRAINING OBJECTIVES
The Big Data Technology Trends & Insights Training course will combine direct discussion of topics, with presentations and interactive practical exercises, supported by video materials, activities, and case studies. Delegates will be introduced to the world where the computers and machines are trained to behave in a manner of humans, and to help humans make optimal decisions.
This training course will utilize a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes theoretical presentation of the concepts. Delivery will be by presentation, group syndicate exercises, training e-manual and interactive seminars, as well as group discussion on the results of the exercises.
This training course has been designed for all those involved in the technology, research, and statistical analysis of corporate data.
Day 1 : Big Data Technology Introduction
Day 2 : Data Analytics Models and Insights
Day 3 : Big Data Technologies in use
Day 4 : Big Data use cases
Day 5 : Big Data future
