Massive Big Data Storage Technology and Application – GBase Special Session to be Held on August 14
Event Introduction
What are the differences between big data storage and traditional data storage?
What factors should be considered when choosing a big data storage method?
What are the common big data storage solutions on the market?
What are the similarities and differences between structured and unstructured data storage?
How do their application scenarios differ?
This session of the Massive Big Data Tech Salon, in partnership with GBase (General Data Technology), presents a special big data storage event for big data enthusiasts. It will address the current state of big data storage, challenges, and solutions from a hands-on perspective.
Dongxu Huang, Pre-sales Manager at General Data Technology Co., Ltd., will introduce the mainstream technologies for structured data storage and computing in big data environments.
Xiaoxi Pang, Senior Development Engineer at Hailiang Information Technology Co., Ltd., whose work focuses on storage and indexing technology, will share the achievements in building a large-scale data storage system based on Hadoop/HBase.
Event Time
Friday, August 14, 2015, 14:30–17:00
Event Venue
No. 130 Zhicheng Road, Hebei District, Tianjin
Hebei District Science and Technology Investment Promotion Service Center
Event Agenda
Speaker Bios
Dongxu Huang
Pre-sales Manager, General Data Technology Co., Ltd.
Experienced in in-memory database and MPP database technologies, with extensive project experience across finance, government, and security sectors.
Xiaoxi Pang
Senior Development Engineer, Hailiang Information Technology Co., Ltd.
Joined Hailiang Information Technology Co., Ltd. in 2000, responsible for the development of multiple core products. Proficient in C/C++ and Java, with a focus on full-text search, search, data storage, and data mining research.
Key projects:
Full-text Search Service/SDK for Encyclopedia of China Publishing House
Site Search System
SDK for Fast Text Detection Based on Double Trie Tree
Large-Scale Data Storage System Based on Hadoop/HBase