ByteHTAP: bytedance's HTAP system with high data freshness and strong data consistency
In recent years, at ByteDance, we see more and more business scenarios that require
performing complex analysis over freshly imported data, together with transaction support …
performing complex analysis over freshly imported data, together with transaction support …
Industrial-strength OLTP using main memory and many cores
H Avni, A Aliev, O Amor, A Avitzur, I Bronshtein… - Proceedings of the …, 2020 - dl.acm.org
GaussDB, and its open source version named openGauss, are Huawei's relational database
management systems (RDBMS), featuring a primary disk-based storage engine. This paper …
management systems (RDBMS), featuring a primary disk-based storage engine. This paper …
Remus: Efficient live migration for distributed databases with snapshot isolation
J Kang, L Cai, F Li, X Zhou, W Cao, S Cai… - Proceedings of the 2022 …, 2022 - dl.acm.org
Shared-nothing, distributed databases scale transactional and analytical processing over a
large data volume by spreading data across servers. However, static sharding of data across …
large data volume by spreading data across servers. However, static sharding of data across …
Digital protection analysis of national traditional sports health cultural heritage based on big data in the era of data cloud
W Ye, S Li - Multimedia Tools and Applications, 2024 - Springer
In the era of Internet big data, the extensive use of cloud data has promoted the
development of various fields. In the field of sports, western contemporary sports are …
development of various fields. In the field of sports, western contemporary sports are …
Krypton: Real-Time Serving and Analytical SQL Engine at ByteDance
In recent years, at ByteDance, we have started seeing more and more business scenarios
that require performing real-time data serving besides complex Ad Hoc analysis over large …
that require performing real-time data serving besides complex Ad Hoc analysis over large …
[HTML][HTML] 以图为中心的新型大数据技术栈研究
沈志宏， 赵子豪， 王海波 - 数据分析与知识发现, 2020 - manu44.magtech.com.cn
[目的] 传统的以SQL 为中心的技术栈无法有效地应对大数据场景带来的多元异构数据管理,
大规模关系网络管理和复杂网络分析等挑战, 本文针对新型大数据技术栈展开研究.[方法] …
大规模关系网络管理和复杂网络分析等挑战, 本文针对新型大数据技术栈展开研究.[方法] …
Table2vec-automated universal representation learning of enterprise data dna for benchmarkable and explainable enterprise data science
Enterprise data typically involves multiple heterogeneous data sources and external data
that respectively record business activities, transactions, customer demographics, status …
that respectively record business activities, transactions, customer demographics, status …
Data management at huawei: Recent accomplishments and future challenges
Huawei is a leading global provider of information and communication technologies (ICT)
infrastructure and smart devices. With integrated solutions across four key domains …
infrastructure and smart devices. With integrated solutions across four key domains …
[HTML][HTML] Development of an Intelligent Coal Production and Operation Platform Based on a Real-Time Data Warehouse and AI Model
Y Wang, Y Feng, C Xi, B Wang, B Tang, Y Geng - Energies, 2024 - mdpi.com
Smart mining solutions currently suffer from inadequate big data support and insufficient AI
applications. The main reason for these limitations is the absence of a comprehensive …
applications. The main reason for these limitations is the absence of a comprehensive …
Application of fusion of fuzzy mathematical clustering analysis in enterprise financial management cloud platform
X Zhang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
The enterprise financial management cloud platform can conveniently obtain computing
resources such as network, storage, and services according to actual needs based on the …
resources such as network, storage, and services according to actual needs based on the …