2020 International Conference on Big Data

June 22-26, 2020 | USA

As cloud computing turning computing and software into commodity services, everything as a service in other words, it leads to not only a technology revolution but also a business revolution. Insights and impacts of various types of services (infrastructure as a service, platform as a service, software as a service, business process as a service) have to be re-examined. 2020 International Conference on Big Data (BigData 2020) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services." Big Data is a key enabler of exploring business insights and economics of services. Part of the SCF 2019, AIMS 2019 was successfully held on June 25 - 30, 2019, San Diego, USA. In 2020, we will celebrate our 2020 version of gathering, to strive to advance the largest international professional forum on Big Data.

Spotlight

Many information professionals today are watching the burgeoning growth in data generation overwhelm their operational data stores. Traditional architectures struggle with large data volumes and unstructured data, such as information gleaned from log data or social media, and the amount of data these data stores must ingest and process today is creating performance bottlenecks. This is unacceptable in the current technological landscape, and organizations are scrambling to maintain an efficient operational data store (ODS) as the amount of information available—and necessary— to perform business-critical analyses steadily grows.


OTHER PAST CONFERENCES

ScaleUp 360° Big Data, the digital summit

April 6-7, 2022 | Germany

Welcome to ScaleUp 360° Big Data, the digital summit for specialists in the fields of data analytics, machine learning & AI, data literacy and data science from German-speaking industry. Experience 2-day virtual sessions from big data specialists on strategies and successful projects in the context of smart data and data analytics.

Data Reliability Engineering Conference 2021

December 14, 2021 | UK

Data has become a core competitive advantage for modern organizations — making data reliability more important than ever. Driven by this growing need, the tools, techniques, and best practices for keeping data fresh, accurate, reliable, and trustworthy are rapidly evolving. This renaissance for data tools and best practices is changing the game up and down the entire data stack. To unlock the full potential of their organization’s data, every organization needs to take an engineering approach to data reliability.

Data Summit 2022

May 17-18, 2022 | USA

We're excited to welcome our community of data professionals back to Boston this May for three days of practical advice, inspiring thought leadership, and in-depth training. Join your peers to learn, share, and celebrate the trends and technologies shaping the future of data. See where the world of big data and data science is going, and how to get there first. At Data Summit 2022, you’ll hear the innovative approaches the world’s leading companies are taking to solve today’s key challenges in data management. Whether your interests lie in the technical possibilities and challenges of new and emerging technologies or using Big Data for business intelligence, analytics, and other business strategies, Data Summit 2022 has something for you!

International Conference on Data Applications and Management

November 29-December 1, 2021 | UK

This conference reviews and discusses, the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology.

Spotlight

Many information professionals today are watching the burgeoning growth in data generation overwhelm their operational data stores. Traditional architectures struggle with large data volumes and unstructured data, such as information gleaned from log data or social media, and the amount of data these data stores must ingest and process today is creating performance bottlenecks. This is unacceptable in the current technological landscape, and organizations are scrambling to maintain an efficient operational data store (ODS) as the amount of information available—and necessary— to perform business-critical analyses steadily grows.

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