Global Meeting on Big Data Analytics and Data Processing

April 15-16, 2019 | Hong Kong

The main theme of the conferenceis “Advancement Big Data". This conference aimed to expand its coverage in the areas of Big Data and Data Miningwhere expert talks, young researcher’s presentations will be placed in every session of the meeting will be inspired and keep up your enthusiasm. We feel our expert Organizing Committee is our major asset. However, your presence over the venue will add one more feather to the crown of Big Data 2019.

Spotlight

As the volume and variety of data has exploded in recent years, putting that data to business use has been a complex undertaking. Extracting value from big data has been a substantial challenge in and of itself, but it has been compounded by new preferences for data consumption. Basic batch reporting doesn’t cut it anymore — information consumers want analytics that they can explore in their favorite format on-demand, often in the context of the other software applications they use every day.


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The Second International Conference on Digital Data Processing (DDP 2022) is dedicated to data and its underlying structure, dynamics of data relations, and newer data technologies.

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Under vision 2030, the Kingdom has set specific targets to transform into a digital society and economy utilizing big data as a national asset to achieve this objective. Big data and AI are already disrupting several sectors in the country and have created tremendous achievements especially in disaster management, road safety, and energy consumption management. The Saudi big data and AI market is expected to reach USD 891.74 million by 2026 (Mordor Intelligence report) as the country is creating AI-friendly ecosystems and supporting adoption of data analytics solutions and smart city programs such as NEOM.

Google Data Cloud Live: Seattle

November 15, 2022 | USA

Join us for a half day of learning and innovation, exploring how you can harness the power of data to make smarter business decisions and solve your most complex challenges.

Spotlight

As the volume and variety of data has exploded in recent years, putting that data to business use has been a complex undertaking. Extracting value from big data has been a substantial challenge in and of itself, but it has been compounded by new preferences for data consumption. Basic batch reporting doesn’t cut it anymore — information consumers want analytics that they can explore in their favorite format on-demand, often in the context of the other software applications they use every day.

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