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Название: Pro Oracle SQL Development: Best Practices for Writing Advanced Queries
Автор: Jon Heller
Издательство: Apress
Год: 2019
Страниц: 611
Язык: английский
Формат: pdf (true), epub
Размер: 10.5 MB

Write SQL statements that are more powerful, simpler, and faster using Oracle SQL and its full range of features. This book provides a clearer way of thinking about SQL by building sets, and provides practical advice for using complex features while avoiding anti-patterns that lead to poor performance and wrong results. Relevant theories, real-world best practices, and style guidelines help you get the most out of Oracle SQL.

Название: The Book of PF: A No-Nonsense Guide to the OpenBSD Firewall, 3rd Edition
Автор: Peter N. M. Hansteen
Издательство: No Starch Press
Год: 2014
ISBN: 9781593275891
Формат: pdf
Страниц: 248
Размер: 5 mb
Язык: English

If you need to do firewalling, routing, network traffic control, NAT, wireless networking with an intuitive configuration syntax at zero software cost, choose PF. And download this book

Название: The Book of PF: A No-Nonsense Guide to the OpenBSD Firewall
Автор: Peter N.M. Hansteen
Издательство: No Starch Press
Год: 2008
Формат: PDF
Размер: 3 Мб
Язык: английский / English

OpenBSD's stateful packet filter, PF, offers an amazing feature set and support across the major BSD platforms. Like most firewall software though, unlocking PF's full potential takes a good teacher.Peter N.M. Hansteen's PF website and conference tutorials have helped thousands of users build the networks they need using PF. The Book of PF is the product of Hansteen's knowledge and experience, teaching good practices as well as bare facts and software options. Throughout the book, Hansteen emphasizes the importance of staying in control by having a written network specification, using macros to make rule sets more readable, and performing rigid testing when loading in new rules.

Название: Data Mining and Data Warehousing: Principles and Practical Techniques
Автор: Parteek Bhatia
Издательство: Cambridge University Press
Год: 2019
Страниц: 513
Язык: английский
Формат: pdf (true)
Размер: 39.2 MB

Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Na?ve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail.

Название: Mining of Massive Datasets
Автор: Leskovec J., Rajaraman A., Ullman J.D.
Издательство: Stanford University
Год: 2019
Формат: pdf
Страниц: 603
Для сайта: LitMy
Размер: 18 mb
Язык: английский

This book evolved from material developed over several years by Anand Rajaraman and Jeff Ullman for a one-quarter course at Stanford. The course CS345A, titled “Web Mining,” was designed as an advanced graduate course, although it has become accessible and interesting to advanced undergraduates. At the highest level of description, this book is about data mining. However, it focuses on data mining of very large amounts of data, that is, data so large it does not fit in main memory. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web. Further, the book takes an algorithmic point of view: data mining is about applying algorithms to data, rather than using data to “train” a machine-learning engine of some sort.

Название: Технологии многопользовательских операционных систем
Автор: Назаров С.В., Широков А.И.
Издательство: Изд. Дом МИСиС
Год: 2012
Страниц: 296
Формат: pdf
Размер: 35 mb
Качество: хорошее

В монографии представлено описание основных технологий современных операционных систем: методы, алгоритмы и средства управление памятью современного компьютера; организация подсистемы ввода-вывода; архитектура и средства управления файловой системой; этапы загрузки операционных систем; файлы, сохраняющие параметры операционных систем; средства языка программирования оболочки Linux; безопасность, диагностика и восстановление операционных систем после отказов.
Издание рассчитано в первую очередь на специалистов, которые обеспечивают реализацию технологий многопользовательских операционных систем, а также будет полезно для студентов разных специальностей, обучающихся по информационным технологиям.

Название: Predictive Data Mining Models (Computational Risk Management) Second edition
Автор: David L. Olson, Desheng Wu
Издательство: Springer
Год: 2019
Формат: True PDF
Страниц: 125
Размер: 7.4 Mb
Язык: English

This book provides an overview of predictive methods demonstrated by open source software modeling with Rattle (R’) and WEKA. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on prescriptive analytics.

Название: Business Intelligence for Small and Medium-Sized Enterprises: An Agile Roadmap Toward Business Sustainability
Автор: Lila Rao-Graham, Maurice L. McNaughton, Gunjan Mansingh
Издательство: Auerbach Publications / CRC Press
Год: 2019
Страниц: 167
Язык: английский
Формат: pdf (true), djvu
Размер: 10.2 MB

Business Intelligence, Data Analytics, Business Analytics and Data Mining are often used interchangeably in the academic and trade literature as well as by practitioners. For the purposes of this book, we treat Business Intelligence (BI) as an umbrella term for a wide range of processes, tools, techniques and capabilities whereby organizations create business value from their data assets.

Название: Excel 2019: A Comprehensive Beginners Guide to Learn Excel 2019 Step by Step from A - Z
Автор: Alexander Cane
Издательство: Independently published
Год: 2019
Страниц: 183
Язык: английский
Формат: epub, mobi, pdf (conv)
Размер: 11.1 MB

A Direct No-Nonsense Guide to Learning Excel. The Excel 2019 Guide has everything you need to get started in creating and making the most out of your spreadsheets. This book is designed for Excel 2019 users of all levels. May you be new to working on data or are already knowledgeable in handling different kinds of spreadsheet work, then this book is for you. Many people are overwhelmed by the powers of Excel, but these can be easily manipulated to your advantage, and this book helps you do just that.

Название: Learning Apache Drill: Query and Analyze Distributed Data Sources with SQL
Автор: Charles Givre, Paul Rogers
Издательство: O'Reilly Media
ISBN: 1492032794
Год: 2018
Страниц: 331
Язык: английский
Формат: TruePDF +code
Размер: 10.16 MB

Get up to speed with Apache Drill, an extensible distributed SQL query engine that reads massive datasets in many popular file formats such as Parquet, JSON, and CSV. Drill reads data in HDFS or in cloud-native storage such as S3 and works with Hive metastores along with distributed databases such as HBase, MongoDB, and relational databases. Drill works everywhere: on your laptop or in your largest cluster. At its core, Apache Drill is a SQL engine for big data.