Big Data Events
A conference is a gathering of people who share a particular interest or background with the goal of meeting one another and learning about and discussing topics, ideas, and projects that are relevant to them.
Going to conferences is a great way to meet like-minded people and industry colleagues. Conferences bring individuals together from all over the world who have a particular interest or discipline, and they’re a terrific opportunity to meet new people in your profession.
You will learn from others and increase your own abilities and knowledge about your field if you attend other presentations. It’s also crucial to connect with their work, ask questions, and even follow up with a visit following the panel. In our area, networking is crucial, just as it is in every other job.
Attending events in your sector increases your chances of meeting your target prospects or influencers who should be familiar with your company and brand.
Big Data: A Quick Summary
Big data is a discipline that deals with methods for analyzing, methodically extracting information from, or otherwise dealing with data volumes that are too massive or complicated for typical data-processing application software to handle. Data with a lot of fields (columns) have better statistical power, however, data with a lot of characteristics or columns have a higher false discovery rate.
Data capture, storage, analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source are all issues in big data analysis. The three major notions of big data were initially related to three important concepts: volume, diversity, and velocity.
Because massive data analysis poses sampling issues, only observations and samples were previously allowed. As a result, big data frequently comprises data in amounts that typical software cannot process in a reasonable amount of time or for a reasonable price.
Simply said, big data refers to larger, more complicated data collections, particularly those derived from new data sources. Because these data sets are so large, typical data processing technologies can’t handle them.
April 2022
France | Rennes
April 20, 2022
Denmark | Copenhagen
April 23, 2022
May 2022
United States | Pennsylvania, Lancaster
May 2, 2022
United States | Alabama, Las Vegas
May 2, 2022
Estonia | Tallinn
May 10, 2022
Spain | Madrid
May 18, 2022
United States | Maryland, Washington DC
May 19, 2022
Belgium | Brussels
May 24, 2022
June 2022
United States | Maryland, Washington DC
June 16, 2022
Greece | Rhodes
June 20, 2022
United States | New York, New York
June 23, 2022
July 2022
United States | Maryland, Washington DC
July 21, 2022
August 2022
United States | Maryland, Washington DC
August 18, 2022
September 2022
Italy | Verona
September 7, 2022
United States | Maryland, Washington DC
September 15, 2022
October 2022
United States | Maryland, Washington DC
October 20, 2022
November 2022
United States | Maryland, Washington DC
November 17, 2022
December 2022
United States | Maryland, Washington DC
December 15, 2022