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A Course In In-memory Data Management

RRP $271.99

Click on the Google Preview image above to read some pages of this book!

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.


A Course In In-memory Data Management

RRP $271.99

Click on the Google Preview image above to read some pages of this book!

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 the first online course on the openHPI e-learning platform, which was launched in autumn 2012 with more than 13,000 learners. The book is designed for students of computer science, software engineering, and IT related subjects. However, it addresses business experts, decision makers, 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. Readers are lead to understand the radical differences and advantages of the new technology over traditional row-oriented disk-based databases.


A Course In In-memory Data Management

RRP $271.99

Click on the Google Preview image above to read some pages of this book!

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.


The Beginners Guide To Using A Windows Computer

RRP $13.99

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This book was just written to help a person who has very little computer knowledge. It helps you download and install virus software, helps speed up your computer, create folders, enter safe mode, fix the Blue Screen on Windows XP, tells you how to search and access your start menu using Windows 8.


The Neurobiological Basis Of Memory 2016

RRP $299.99

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This exciting volume offers an up-to-date tour of current trends in the neurobiology of memory while saluting Raymond Kesner's pioneering contributions to the field as a theorist and researcher, teacher and mentor. Starting with his signature chapter introducing the Attribute Model of Memory, the first half of the book focuses on the central role of the hippocampus in processing dimensions of space and time, and branches out to memory system interactions across brain structures. Later chapters apply the attribute model to multiple functions of memory in learning, and to specific neurological contexts, including Huntington's disease, traumatic brain injury, and Fragile X. As a bonus, the book concludes with an essay on Kesner's life and work, and reminiscences by colleagues.

Among the topics covered:

  • How the hippocampus supports the spatial and temporal attributes of memory.
  • Self-regulation of memory processing centers of the brain.
  • Multiple memory systems: the role of Kesner's Attribute Model in understanding the neurobiology of memory.
  • Pattern separation: a key processing deficit associated with aging?

· Prefrontal cortex and basal ganglia attributes underlying behavioral flexibility.

  • Memory disruption following traumatic brain injury.

Cognitive neuroscientists, neuropsychologists, gerontologists, psychiatrists, and neurobiologists will findThe Neurobiological Basis of Memory both enlightening and inspiring--much like Kesner himself.



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Mobile Computer Technicians Books

Computer Repair Microsoft DIY Computer Build Computer
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Mobile Computer Technicians





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