Five Exciting Big Data Trends Worth Taking a Closer Look

Following the COVID-19 pandemic, businesses have accelerated their digital transformation efforts, leading to five key big data trends. The adoption of data lakes is on the rise, driven by the need for efficient data manipulation in remote and hybrid work environments, with the market expected to grow significantly by 2026. The convergence of streaming and static data sources is improving predictive capabilities by enabling comprehensive analytics, which will become more prevalent as cloud storage and applications eliminate resource limitations. Data sharing is simplified through cloud migration, broadening the consumer base for data analysis, with cloud providers offering solutions for both internal and external data exchanges. Machine learning is being integrated into databases to optimize queries and dynamically adjust to unprepared data, promoting a separation between data storage and consumption. Finally, predictive analytics is driving the development of next-generation digital applications, shifting from static dashboards to live, dynamic data access, democratizing insights across departments for quicker adaptation and improvement, and combining cloud, database, and analytics advancements for a competitive edge.