AACOM Annual Conference

April 10-12, 2019 | USA

This year, AACOM explores hot topic “Big Data,” the very foundation of evidence-based decision-making, as the conference theme. Analyzing complex data sets provide critical insights into OME profession's trends and patterns and tells us meaningful stories about how students and residents learn. Not only can big data be used to predict student, faculty, and physician outcomes, it's also one of the emerging disruptors that will impact how we teach and learn ultimately shaping the health care our students will provide to their patients.

Spotlight

A cluster of 32 high-performance hosts was used to run three demanding Hadoop applications. The performance of native and several VMware vSphere® configurations was compared. The apples-to-apples case of a single virtual machine per host shows performance close to that of native. Improvements in elapsed time of up to 13% can be achieved by partitioning each host into two or four virtual machines, resulting in competitive or even better than native performance. The origins of the improvements are examined and recommendations for optimal hardware and software configuration are given. Apache Hadoop provides a platform for building distributed systems for massive data storage and analysis [1] using a large cluster of standard x86-based servers. It uses data replication across hosts and racks of hosts to protect against individual disk, host, and even rack failures.


OTHER PAST CONFERENCES

Leading with Big Data and Analytics: From Insight to Action

December 13-16, 2021 | USA

Leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges is not solely the responsibility of technology and data science specialists. Rather, it’s the responsibility of organizational leadership to understand and direct these approaches to achieve their business goals. This program is designed to help senior leaders effectively manage and seize opportunities in the new environment of advanced analytics. Participants will gain a working knowledge of data science, which will enable leaders to identify the challenges that analytics, machine learning, and artificial intelligence can solve. It will also help them make the most effective investments in people, data, systems, culture and organizational structure. Led by world-class Kellogg faculty and former C-Suite practitioners experienced in working with senior executives and organizations who have successfully scaled analytics in their organizations, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world practice.

Big Data World Congress

March 2-3, 2022 | UK

Big Data World Congress will gather together the professionals and experts in this sector who will talk about the betterment of the current situation of this sector. The professionals will discuss the current situation, innovations in market strategies, infrastructures of Big Data. The professionals will share their ideas and strategies among themselves. The freshers are going to be very benefited by the valuable comments of the experts and the solution provided by them of the common problems. This platform is going to cover vast areas.

Data Science Salon

February 16, 2022 | USA

Data Science Salon will unite the brightest leaders in finance and technology across the nation in data science fields. It is the only industry conference that brings together specialists in the finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Get the most current state of current industry trends and innovations in AI and ML in the Enterprise through DSS podcasts, exclusive content, Webinars, and Live Training.

2022 Data Analytics Summit

March 30, 2022 | USA

The Data Analytics Summit brings together hundreds of professionals to engage in topics related to data analytics. Attendees represent the Commonwealth of Pennsylvania, as well as representatives from federal and local governments. Attendees also represent private and non-profit organizations. Attendee demographics are a mix between practitioners, front-line staff, and executive management.

Spotlight

A cluster of 32 high-performance hosts was used to run three demanding Hadoop applications. The performance of native and several VMware vSphere® configurations was compared. The apples-to-apples case of a single virtual machine per host shows performance close to that of native. Improvements in elapsed time of up to 13% can be achieved by partitioning each host into two or four virtual machines, resulting in competitive or even better than native performance. The origins of the improvements are examined and recommendations for optimal hardware and software configuration are given. Apache Hadoop provides a platform for building distributed systems for massive data storage and analysis [1] using a large cluster of standard x86-based servers. It uses data replication across hosts and racks of hosts to protect against individual disk, host, and even rack failures.

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