Microgrid systems encounter various challenges, including critical issues such as load scheduling and the generation of large amounts of data that need to be monitored to stabilize the system during operation. It is essential to ensure the real-time collection and protection of data throughout the process. In this context, infrastructure such as cloud computing and data security plays a crucial role in addressing these challenges. Data generated from a microgrid includes different attributes such as meteorological information, energy production data, and distributed energy resources data, which help monitor the balance between supply and demand. This data also plays a crucial role in energy forecasting, predictive maintenance, and analyzing the critical performance of grid-connected or standalone microgrid systems. The paper discusses the significance of the data collected from distributed energy resources and provides a critical analysis of current solutions and future perspectives on data sharing in microgrids and their challenges.