Data generated by machine learning, IoT, analytics, and artificial intelligence are examples of unstructured data and comprise the majority of data growth, while structured data is created from traditional deployments such as a relational database management system (RDBMS).
Massive amounts of data are created every day, and that amount is continuing to grow at an exponential rate. Data is being collected now more than ever to meet the demands of data analytics, artificial intelligence, and data transformation for government and industry compliance regulations and considerably more. This over-abundance of data brings challenges of […]
To curb the impact of the climate crisis, organizations across every industry are embracing sustainability as a priority issue by implementing strategies to reduce the carbon footprint of their operations. With no end in sight to the growth—and importance—of data and the insights data deliver, there’s a tremendous opportunity for IT professionals to get more […]
The Pure Storage annual ESG Report provides a comprehensive update on our environmental, social, and governance (ESG) programs, initiatives, and metrics, as well as highlights of our future plans. As we progress on our ESG journey, Pure Storage is committed to continually maturing our programs and disclosures to drive greater impact and inform our stakeholders […]
The inability of current, disk-based storage solutions to innovate and keep up with growing unstructured data requirements makes them impractical storage solutions. According to Enterprise Strategy Group, organizations will likely increase their unstructured data capacity more than 10-times by 2030. Learn the top reasons why all-flash storage platforms are the optimal solution for unstructured data […]