The rapid growth of data management Through Big Data techniques and increasing the burden of the data centers growing through the energy standards, time, cooling strategy. So developers are being concern about the huge Energy consumption in the data centers. This paper presents the energy efficiency and cooling issues in data centers and comparative analysis of data warehouse, data mining, cloud computing a) Techniques for managing energy in hardware level and software level b) Power and cooling Issues for consuming energy in data centers c) Comparison of various algorithms for load aggression and task scheduling. Finally to maximize the Energy efficiency of data centers there are some other component like Storage, memory and bandwidth that also consumes energy and must be taken under consideration while making energy efficient policies.