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Research Paper | Data & Knowledge Engineering | India | Volume 12 Issue 2, February 2023
Unlocking the Potential of Clinical Data Lakes for Future Generations
Mujeebuddin Shaik | Uma Priya [2]
Abstract: Data is the new currency in the life sciences and healthcare industry and the amount of healthcare data is expected to increase dramatically each day. Data consolidation is an important factor for operating systems and analytics. There are different ways to architect a data lake, and each of them has its own merit. Every organization will have a different need for the lake. Once you?ve established a strong data lake foundation, the next step is to better understand the roots of your data, and how it is processed within your data lake for consumption by analytics and applications. The data lake is beneficial in life science in many ways in reducing costs, lowering risk, increasing competitive advantages, managing comprehensive healthcare, processing the huge volume of data, enhancing research and development, and increasing the speed of data access and query processing. The life sciences industry witnesses a huge block of unstructured data with the data growing each year, the need for robust data management architecture is required to store, access, and run analytics. A data lake pools data from multiple sources and applies analytical models to provide a new approach to information management, reporting, and predictive analytics to help deploy evidence-based care strategies, create advanced analytic insights, and improve patient engagement outcomes, this review provides an overview of the potential of data lakes in their full capacity, it has the potential to improve performance, increase scalability, and make a life science/pharma data-driven industry.
Keywords: Data lake, data analysis, metadata, healthcare, data warehouse
Edition: Volume 12 Issue 2, February 2023,
Pages: 1457 - 1461