The article "Big Data: Astronomical or Genomical?" by Zachary D. Stephens et al. compares the demands of genomics with those of three other major generators of Big Data: astronomy, YouTube, and Twitter. By 2025, genomics is projected to be either on par with or the most demanding of these domains in terms of data acquisition, storage, distribution, and analysis. The authors highlight the rapid growth in genomic data, with sequencing capacities expected to reach one zettabyte per year by 2025. They discuss the challenges in data acquisition, storage, distribution, and analysis, emphasizing the need for new technologies and community-wide planning to address these challenges. The article also outlines key technological needs, including advances in sequencing technologies, efficient data storage systems, secure data distribution methods, and sophisticated data analysis tools. The authors stress the importance of integrating biological expertise with machine learning and scalable computing infrastructure to fully leverage the potential of genomics.The article "Big Data: Astronomical or Genomical?" by Zachary D. Stephens et al. compares the demands of genomics with those of three other major generators of Big Data: astronomy, YouTube, and Twitter. By 2025, genomics is projected to be either on par with or the most demanding of these domains in terms of data acquisition, storage, distribution, and analysis. The authors highlight the rapid growth in genomic data, with sequencing capacities expected to reach one zettabyte per year by 2025. They discuss the challenges in data acquisition, storage, distribution, and analysis, emphasizing the need for new technologies and community-wide planning to address these challenges. The article also outlines key technological needs, including advances in sequencing technologies, efficient data storage systems, secure data distribution methods, and sophisticated data analysis tools. The authors stress the importance of integrating biological expertise with machine learning and scalable computing infrastructure to fully leverage the potential of genomics.