【英文讲座】Paradigm Shift to Enterprise In-Memory Database Era...
Abstract(讲座摘要):
In this talk, I will review the history of in-memory database research andmarket development, and discuss how this new paradigm of data management canlead to big innovations in the world.
Bio(主讲人简介):
Sang Kyun Cha is a professor and an entrepreneur. Heworked on three generations of commercialized in-memory database platformssince he joined Seoul National University in 1992. In 2000, with his vision of thecoming era of in-memory enterprise database, he founded Transact In Memory,Inc., and started developing his second-generation system P*TIME (Parallel* Transact-In-MemoryEngine). The company was quietly acquired by SAP in November 2005 and transformedto SAP Labs Korea.
Byearly 2006, P*TIME development was complete with an innovative in-memory OLTParchitecture: parallel logging and recovery, in-memory-optimized MVCC, and optimisticlatch-free index concurrency control. To demonstrate its extreme OLTPscalability in tight integration with SAP’s middleware and application stacks, P*TIMEalso implemented a seamless two-tier interface resilient to application crashin addition to three-tier interface.
WithSAP’s column store TREX, P*TIME became a corner stone of building SAP HANA, thefirst transactional distributed in-memory enterprise database platform whichbecame generally available in June 2011. Today, SAP and numerous companies runERP, CRM, and real-time analytics on HANA. By SAP’s request, Prof. Cha took theco-responsibility of developing HANA with German colleagues and saw its world-wideadoption.
Withhis experience, in April 2014, he launched Seoul National University’s Big DataInstitute to respond to trans-disciplinary big data research interest of bothcomputer scientists and domain experts from various academic disciplines suchas engineering, natural and social sciences, and medicine.
Prof.Cha is a board member of Seoul National University. He has also been a boardmember of Korea Telecom since March 2012, and is providing strategic advice tocentral and local governments on big data and software industry issues. In2015, as the General Co-Chair, he led the IEEE ICDE 2015 Conference in Seoul,Korea to become the most successful ICDE in the past decade, attractingparticipant numbers doubling previous years. He was elected as the steeringcommittee member of IEEE ICDE. He is also on the editorial board of the VLDBJournal since 2009. Prof. Cha received his BS and MS from Seoul NationalUniversity and his Ph.D. from Stanford University.
原文发布时间为:2015-05-11
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进入到第六章了,我们要开始聊聊分布式系统之中的核心问题:数据分区。分布式系统通常是通过大规模的数据节点来处理单机没有办法处理的海量数据集,因此,可以将一个大型数据集可以分布在多个磁盘上,查询负载可以分布在多个处理器上。
进入到第四章了,本篇主要聊的点是编码(也就是序列化)与代码升级的一些场景,来梳理存储之中涉及到的编解码的流程。目前主流的编解码便是来自Apache的Avro,来自Facebook的Thrift与Google的Protocolbuf,在本篇之中,我们也会一一梳理各种编码的优点与痛点。
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