By Hasso Plattner
Recent achievements in and software program improvement, corresponding to multi-core CPUs and DRAM capacities of a number of terabytes consistent with server, enabled the advent of a innovative expertise: in-memory info administration. This expertise helps the versatile and very quickly research of big quantities of firm facts. Professor Hasso Plattner and his examine team on the Hasso Plattner Institute in Potsdam, Germany, were investigating and instructing the corresponding recommendations and their adoption within the software program for years.
This ebook is predicated at the first on-line direction at the openHPI e-learning platform, which was once introduced in autumn 2012 with greater than 13,000 newbies. The e-book is designed for college students of desktop technology, software program engineering, and IT similar topics. even if, it addresses enterprise specialists, choice makers, software program builders, expertise specialists, and IT analysts alike. Plattner and his crew specialise in exploring the internal mechanics of a column-oriented dictionary-encoded in-memory database. coated themes contain - among others - actual information garage and entry, uncomplicated database operators, compression mechanisms, and parallel sign up for algorithms. past that, implications for destiny firm functions and their improvement are mentioned. Readers are result in comprehend the novel variations and benefits of the hot expertise over conventional row-oriented disk-based databases.
Read or Download A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases PDF
Best data mining books
Because the purposes of knowledge mining, the non-trivial extraction of implicit info in a knowledge set, have multiplied in recent times, so has the necessity for thoughts which are tolerable to imprecision, uncertainty, and approximation. clever gentle Computation and Evolving facts Mining: Integrating complicated applied sciences is a compendium that addresses this desire.
This quantity offers the court cases of the ninth on-line international convention on gentle Computing in business functions, hung on the area broad net in 2004. It comprises lectures, unique papers and tutorials provided through the convention. The publication brings jointly amazing examine and advancements in gentle computing, together with evolutionary computation, fuzzy good judgment, neural networks, and their fusion, and its purposes in technology and know-how.
This booklet is set info acquisition and integration, info preprocessing, actual layout for selection help, warehousing, and OLAP, Algorithms: the elemental tools, additional strategies in choice research, basic techniques of genetic algorithms, information buildings and algorithms for relocating items forms.
Info fusion difficulties come up usually in lots of assorted fields. This publication offers a selected creation to info fusion difficulties utilizing aid vector machines. within the first half, this ebook starts with a quick survey of additive types and Rayleigh quotient ambitions in desktop studying, after which introduces kernel fusion because the additive enlargement of aid vector machines within the twin challenge.
Extra resources for A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases
1 Prefix Encoding In real-world databases, we often find the case that a column contains one predominant value and the remaining values have low redundancy. In this case, we would store the same value very often in an uncompressed format. Prefix encoding is the simplest way to handle this case more efficiently. To apply prefix encoding, the data sets need to be sorted by the column with the predominant value and the attribute vector has to start with the predominant value. H. 1007/978-3-642-36524-9_7, Ó Springer-Verlag Berlin Heidelberg 2013 43 44 7 Compression To compress the column, the predominant value should not be stored explicitly every time it occurs.
They achieve much higher compression rates, but encoding and decoding is prohibitively expensive for their usage in our context. An in-depth discussion of many compression techniques can be found in [AMF06]. 1 Prefix Encoding In real-world databases, we often find the case that a column contains one predominant value and the remaining values have low redundancy. In this case, we would store the same value very often in an uncompressed format. Prefix encoding is the simplest way to handle this case more efficiently.
Hennessy, D. Patterson, Computer Architecture: A Quantitative Approach (Morgan Kaufmann, San Francisco, 2003) [Int08] Intel Inc. , Intel 64 and IA-32 architectures optimization reference manual (2011) [Moo65] G. Moore, Cramming more components onto integrated circuits. Electronics 38, 114 ff. A. R. T. J. Hosseini, A novel zero-aware fourtransistor SRAM cell for high density and low power cache application, in International Conference on Advanced Computer Theory and Engineering, ICACTE ’08, pp. 571–575 (2008) [SKP12] D.
A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases by Hasso Plattner