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These datasets remove barriers and provide access to critical information quickly, safely, and easily, eliminating the need to search for and onboard large data files.
HOW TO SEE THE ECLIPSE IF THERE IS HAZY CLOUD COVER FREE
Through our global analytics platform, we’ve made a hosted repository of public datasets like the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) dataset, the Global Health Data from the World Bank, and OpenStreetMap data free to access and query through our COVID-19 Public Dataset Program. Over the past few months, we’ve seen our technology rise up to the occasion to support businesses across all industries, along with researchers and government institutions who are using our technology in many incredible ways. The engineers behind these innovations anticipated and fostered a world with more data than most people could have dreamed of a decade ago. In my role at Google Cloud, I’ve grown a profound appreciation for the core values of speed, scale, access, and flexibility that are at the heart of good data analytics technologies-in products like BigQuery and several more across the industry. Adoption of these new technologies will create even more data and will further accelerate the use of sophisticated analytics. Adoption of these new technologies will create even more data and will further accelerate the use of sophisticated analytics.īusinesses are exploring the use of new industrial innovations in a post-COVID-19 digital economy. Increasingly, they are also exploring the use of new industrial innovations like virtual showrooms, robotic manufacturing, and driverless delivery fleets in a post-COVID-19 digital economy. Not surprisingly, we've seen for ourselves that they are leaning heavily on real-time and predictive analytics to do just that-it’s vital for their survival and success. For example, with changing consumer demand patterns, retailers need to make their inventory management, supply chain infrastructure, delivery mechanisms, and customer experiences much more data-driven and dynamic. To stay viable and thrive in this rapidly changing environment, businesses need to be good at anticipating what’s next and reacting in real time. Consequently, data growth and analytics-driven decision-making are likely to continue proliferating. Some of these changes may be permanent, leading to structural changes in the society and the economy. This is the first where people have had access to online digital technologies that enable things like working, schooling, seeing the doctor, grocery shopping, and even attending digital conferences from home-all necessary activities for suppressing the rate of infection. There have been pandemics in human history. This explosion also pushed other organizations to re-evaluate their strategies and look to cloud infrastructure to provide relief from legacy tools that could not keep up with the growing needs of the business. It's also brought greater efficiency to things like supply chains and consumer marketing, to name just a couple of examples. And it's spurred services that combine digital information from traffic information, and social network graphing. This has spurred all kinds of personalized, connected objects, such as industrial machinery that saves money by signaling when it needs maintenance. We’ve seen companies collect more data than ever before as they’ve raced to transform their businesses and make data-driven decisions. The past decade’s data explosion created a virtuous circle of data analysis and action, leading to new insights, data creation, and data analysis. But the real reason why we’re seeing this increase is the growing utility of data analytics and automated responses to analytic decisions. Much of what we touch and work with now automatically generates data.
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You could attribute this to the rise of smartphones, sensors, and connected vehicles and appliances, among other digital artifacts. There has never in human history been such an information explosion. This growth in data produced and collected is profound-and as COVID-19 has caused disruption to economies, businesses, and lives around the world, it has become more urgent to not only marvel at the scale of all this data but also to understand how it’s being put to work. The World Economic Forum figures there will be 44 zettabytes (ZB) of digital information collected in 2020.