This training course is intended for professionals and businesses that want to fully capitalize on Big Data. Companies are increasingly relying on adequate Data Analytics and Data Science to properly plan, prepare, and react to business challenges, as well as to innovate the way they conduct business and increase the level of service to their customers while reducing costs and streamlining their processes, as the Big Data phenomenon has emerged. It has become so common that the term "Industrial Revolution 4.0" has become a household term.
Data Management is defined as an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the data's accessibility, reliability, and timeliness for its users. This training course focuses on the need to properly warehouse data because, in the age of big data, there are numerous data warehousing and security solutions available, and choosing the right approach is the most difficult decision that businesses must make.
This training course focuses on presenting the delegates with the opportunity to learn how to plan and prepare a data warehousing project, data warehouse architecture, and how to safely store, communicate and use the company data.
This training course adopts a problem‐based learning approach, in which delegates are presented with a series of real problems drawn from the widest possible range of applications – they range from economy models to supply chain and logistics, from oil and gas to civil engineering, and from production optimization to financial risk assessment. Each problem presents and exemplifies the need for a different modeling or analytical approach.
This training course is entirely oriented towards planning, preparing, and executing the Data Warehousing project, with the focus on Data Management and Data Security.
Data warehousing is now a well-known phenomenon. Companies gain an incredible competitive advantage when they properly manage, store, and secure their data. However, simply collecting and storing data and putting it under several layers of IT protection is not enough, as this approach usually ends up drying out the patience of stakeholders, clients, and developers. In theory, an enterprise data warehouse can be extremely valuable to the sponsoring organization, but in practice, it cannot be implemented quickly enough or at a reasonable cost. As a result, data must be properly managed, with adequate security features that adequately protect the data while also making it easily accessible for the benefit of the company. and stored (warehoused) in the enterprise data warehouse.
The delegates will learn from the experiences of real projects, get insight into the success stories, problems, and even failures in order to be able to avoid mistakes and harness the lessons learnt from companies that have successfully implemented data management, security, and warehousing projects.
This training course has been designed for professionals whose jobs involve data gathering, data analysis, decision-making.
