In recent years，with the advent of the digital age，big data resources and technologies were widely used in financial fields，such as precision marketing，client management，decision support，risk prevention and control. Utilizing big data thinking，the potential value of data can be discovered by financial institutions. Additionally，big data thingking helps deeply excavating data value to reshape service model，improve the effectiveness of refined operation and management，strengthen risk control and gradually establish full-life-cycle data management systems. Further，the recent development trend of Big Data Technology was introduced in the paper，such as Cloud-native，Data middle platform and so on. Moreover，we proposed a cloud deployment method，data fusion warehouses，data lake，creating second data plane. These techniques reduce high input costs of financial infrastructure construction and duplicate construction，increase the response efficiency to demand that financial institutions often faced in the process of technology systems transforming. In addition，big data application cases of Ping An Bank and Huawei were introduced to provide references for other industries.