The Future of Big Data

 

Big data analytics (BDA) is already experiencing new trends and advancements in technology today. Currently we are seeing the velocity in which big data is available speed up. Big data used to be exported weekly or monthly, then analyzed and made available for use. Now we are seeing a focus on big data focusing freshness and streaming (as opposed to processing it in timely batches) this makes is available for immediate analysis and use (Monte Carlo, 2023). Real-time data availability is so important is because it supports real-time decision making. Machine learning (ML) and artificial intelligence (AI) are already being combined with BDA in the healthcare industry for more accurate disease detection and diagnosis (Monte Carlo, 2023).

One big data trend we can look forward to in the next 10-15 years is the advancement of democratization and decentralization of data. The analysis of big data used to require data scientists to collect the data, analyze it, look for patterns in the data, and produce useful results to key stakeholders. Right now services and tools are being developed that allow non-technical users the ability to engage with big data directly. Tools are being constructed that empower end users to use BDA to answer their own questions, limiting the need for data scientists to insert themselves in the middle of this process. Also no-code tools are being further developed to limit the need for having coding background when using big data analytics. This allows stakeholders to use and mold the big data to their needs without having to further involve data scientists or developers. These types of advancements are freeing up data scientists to work more intensive big data activities (Monte Carlo, 2023).

Also on the horizon for big data analytics are data marketplace and data mesh technologies. Data marketplaces allow the use of micro services to break down massive applications into smaller, independently deployable services. This can be useful for identifying gaps in the data; then marketplace can be used to fill in these gaps (Monte Carlo, 2023). Data mesh is used to break down an enormous data lake; it decentralizes core components into distributed data products and can then be independently owned by cross-functional teams. This makes it possible for data to no longer belong to just one team but it can become something that every team can contribute to (Monte Carlo, 2023). It is safe to say that big data is no longer simply a buzz word, but rather something that is going to become a big part of our future, and it is exciting to realize its nearly endless potential.

 

 

References

The Future of Big Data Analytics & Data Science: 5 trends of Tomorrow. Monte Carlo Data. (2023, March 6). Retrieved March 20, 2023, from https://www.montecarlodata.com/blog-the-future-of-big-data-analytics-and-data-science/