商品描述
Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of enterprise data. Professor Hasso Plattner and his research group at the Hasso Plattner Institute in Potsdam, Germany, have been investigating and teaching the corresponding concepts and their adoption in the software industry for years.
This book is based on an online course that was first launched in autumn 2012 with more than 13,000 enrolled students and marked the successful starting point of the openHPI e-learning platform. The course is mainly designed for students of computer science, software engineering, and IT related subjects, but addresses business experts, software developers, technology experts, and IT analysts alike. Plattner and his group focus on exploring the inner mechanics of a column-oriented dictionary-encoded in-memory database. Covered topics include - amongst others - physical data storage and access, basic database operators, compression mechanisms, and parallel join algorithms. Beyond that, implications for future enterprise applications and their development are discussed. Step by step, readers will understand the radical differences and advantages of the new technology over traditional row-oriented, disk-based databases.
In this completely revised 2nd edition, we incorporate the feedback of thousands of course participants on openHPI and take into account latest advancements in hard- and software. Improved figures, explanations, and examples further ease the understanding of the concepts presented. We introduce advanced data management techniques such as transparent aggregate caches and provide new showcases that demonstrate the potential of in-memory databases for two diverse industries: retail and life sciences.
商品描述(中文翻譯)
最近在硬體和軟體開發方面的成就，例如多核心 CPU 和每台伺服器多達數 TB 的 DRAM 容量，使得一項革命性技術的引入成為可能：內存數據管理。這項技術支持對大量企業數據的靈活且極快的分析。德國波茨坦哈索·普拉特納研究所的哈索·普拉特納教授及其研究團隊多年來一直在研究和教授相關概念及其在軟體產業中的應用。
本書基於2012年秋季首次推出的在線課程，該課程有超過13,000名註冊學生，標誌著 openHPI 電子學習平台的成功起點。該課程主要針對計算機科學、軟體工程和 IT 相關科目的學生，但同樣也面向商業專家、軟體開發人員、技術專家和 IT 分析師。普拉特納及其團隊專注於探索列導向字典編碼內存數據庫的內部機制。涵蓋的主題包括物理數據存儲和訪問、基本數據庫操作、壓縮機制和並行連接算法等。此外，還討論了未來企業應用及其開發的影響。讀者將逐步理解這項新技術相對於傳統行導向、基於磁碟的數據庫的根本差異和優勢。
在這本完全修訂的第二版中，我們納入了數千名 openHPI 課程參與者的反饋，並考慮了最新的硬體和軟體進展。改進的圖示、解釋和範例進一步簡化了所呈現概念的理解。我們介紹了先進的數據管理技術，如透明聚合快取，並提供了新的展示，展示內存數據庫在零售和生命科學兩個不同產業中的潛力。
