Many researchers are contributing to the field and lot of results are carried out through their research. the data generation process through various sectors will be continually growing and in spite of too many hurdles the process will not stop here. Thus the challenges also rising in the domain. Data collected at a platform and need to give more accurate and useful information. The in between process from generation of data to results, have to face many challenges in data management and data processing. This study mainly focuses on the several challenges that might occur at every step of data management. Further we are trying to give the solutions to each challenge through the GM3's framework. After preprocessing of data through ETL tools, some challenges like centralization, decentralization and indexing of data proposed within this study. In further studies, we will make some additions of approaches into the framework to carry out more efficient and reliable results.

Data management, Hadoop, MapReduce