Migrating Large SQL Server Data to the Cloud In today’s digital landscape, businesses are increasingly moving their data to the cloud to leverage its scalability, flexibility, and cost-effectiveness. However, migrating large volumes of data while ensuring minimal downtime and maintaining data integrity poses a significant challenge for organizations. One such challenge was encountered during one of my projects to migrate on-premises SQL Server data to Microsoft Azure, without compromising on availability.
The purpose of disclosure of residual risk is to inform stakeholders, decision-makers, or the general public about the remaining risks that could potentially impact a project, product, or organization, even after risk mitigation measures have been implemented. Residual risk refers to the level of risk that remains after risk management efforts have been applied.
By disclosing residual risk, organizations can achieve several important objectives:
Transparency: It promotes openness and transparency in risk management practices, providing stakeholders with a clear understanding of the potential risks that still exist.
Context We all know that migrating on-premise workloads to the cloud offers numerous advantages for individuals, businesses, and organizations. These advantages include cost efficiency, scalability, security and reliability, data backup and recovery, speed and performance, reduced IT management, competitive advantage, and many more. Cloud migration typically involves several phases, starting with discovery and assessment. In this article, I will cover the Discovery and Assessment phase of the cloud migration journey.
Understanding the key concepts and terminologies in system engineering is crucial for effectively managing and optimizing complex systems. This series of article aims to break down some of the important and complex sentences from INCOSE Handbook making them easier to grasp. This helps to understand the concepts and also act as a tips to the ASEP certification exam.
Holistic, Balanced, Life Cycle Approach SE practitioners work within a project team and take a holistic, balanced, life cycle approach to support the successful completion of system projects
Cloud migration is often perceived merely as the transfer of workloads from on-premises infrastructure to the cloud. However, the true potential of cloud adoption extends far beyond this initial step. To fully leverage the benefits of the cloud, organizations must embrace comprehensive transformations across various facets of their operations.
In addition to the technological transformation. we need to also focus on Process Transformation, Organizational Transformation and Product Transformation.
Process Transformation Think about how grocery shopping has changed with online delivery services.
