With the importance and competitive edge that data provides to the organization, particularly in how it can be readily used to aid in decision-making, the need to modernize the existing data architecture of most companies for innovation to easily happen is even more heightened. In this course, Modernizing Enterprise Data Architecture for Innovation, you’ll be able to gain the skills to improve the existing data architecture in your organization so that it’s ready for any innovation project that will be implemented. First, you’ll explore enterprise data architecture design. Next, you’ll discover what it means to shift from on-premise to cloud-based platforms and to shift from batch to real-time data processing. Then, you’ll learn exactly what it means and what it takes to shift from rigid data models to extensible data models, along with understanding the corresponding pros and cons of each option. Finally, you’ll delve into how to simplify enterprise data architecture approached with modernization to enable innovation to be implemented easily within your belonging organization. When you’re finished with this course, you’ll have the skills and knowledge of a data architect, particularly the thinking processes that they go through to be able to improve and modernize a company’s existing data architecture so that innovation initiatives and projects can be easily implemented within your belonging organization.
Author Name: Wilvie Anora
Author Description:
She is the Co-founder as well as Strategy Lead of AtoANI (sustainable agriculture) and AtoANI BioPack (biodegradable packaging). She is passionate about Social Innovation and using it to contribute to the UN Sustainable Development Goals. With a Chemical Engineering and MBA Degree, her corporate experience in multinational companies involves working on various topics in the areas of Strategy, Digitalization, Innovation, Finance, Material Management, Quality Assurance, Program and Project Managem… more