The advancement of technology has brought up so many elements of ease for human beings that now humans cannot afford to think of a life without all these. But all is not about ease and comfort. Along with all these elements, there are many modern complexities as well as challenges too. Big data analytics and cloud computing are among the elements in which we face many challenges. This document discusses some of the challenges in big data analytics and cloud computing. Challenges for Big Data in Cloud Computing: Just as Big Data provided organizations with terabytes of data, it also posed an issue of managing that data in a traditional framework. How to analyze a large amount of data to remove only the most useful bits? Analyzing these large volumes of data often becomes a very difficult task. In the era of high-speed connectivity, moving large data sets, and providing the details needed to access them is also an issue Conclusion: “All in all, the value of systems based on Big Data technologies lies in the quality and speed of the provided analytics. Noting this, Trovati [19] noted: “Since such analytical tasks that go beyond the scope of data warehouses were previously solved only for individual unique projects, for launching projects on a new set of technologies, it is necessary to develop new industrial models, indicators for specific types of customers. In addition to the industrial focus, a creative approach to data mining is also required - the possibilities for Big Data research are huge”.