Авторы: | Albert Y. Zomaya, Sherif Sakr |
Год написания: | 2017 |
Страницы: | 895 |
Издательство: | |
ISBN: | 978-3-319-49339-8 |
Жанр: | Прочее |
Handbook of Big Data Technologies (edited by Albert Y. Zomaya and Sherif Sakr) is an exciting and well-written book that deals with a wide range of topical themes in the field of Big Data. The book probes many issues related to this important and growing field—processing, management, analytics, and applications. Today, we are witnessing many advances in Big Data research and technologies brought about by developments in big data algorithms, high performance computing, databases, data mining, and more. In addition to covering these advances, the book showcases critical evolving applications and technologies. These developments in Big Data technologies will lead to serious breakthroughs in science and engineering over the next few years. I believe that the current book is a great addition to the literature. It will serve as a keystone of gathered research in this continuously changing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies. The book will be well received by the research and development community and will be beneficial for researchers and graduate students focusing on Big Data. Also, the book is a useful reference source for practitioners and application developers. Finally, I would like to congratulate Profs. Zomaya and Sakr on a job well done! | |
Теги: | HFT, in english, алготрейдинг, аналитика, программирование, системный трейдинг, торговая система, торговые роботы, торговые системы, трейдинг, фундаментальный анализ |
Добавил: |
Неизвестный 11 марта 2020, 11:46 |