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Название: PostgreSQL изнутри
Автор: Рогов Е.
Издательство: ДМK
Год: 2022
Формат: PDF
Страниц: 661
Размер: 10 Mb
Язык: Русский

Эта книга для тех, кого не устраивает работать с базой данных как с черным ящиком. Если вы любознательны, не довольствуетесь авторитетными советами и хотите во всем разобраться сами — нам по пути. Автор ориентируется на читателей, имеющих некоторый опыт использования PostgreSQL и хотя бы в общих чертах представляющих себе, что к чему. Книга будет полезной и тем, кто хорошо знаком с устройством другой СУБД, но переходит на PostgreSQL и хочет разобраться в отличиях. Здесь вы не найдете готовых рецептов. Ведь на все случаи жизни их все равно не хватит, а понимание внутренней механики позволяет критически переосмысливать чужой опыт и делать собственные выводы. Именно поэтому даются объяснения, как что устроено, возможно даже более подробно, чем на первый взгляд может показаться практичным.

Название: Introduction to Time Series Using Stata, Revised Edition
Автор: Sean Becketti
Издательство: Stata Press
Год: 2020
Страниц: 446
Язык: английский
Формат: epub
Размер: 15.1 MB

Introduction to Time Series Using Stata, Revised Edition provides a step-by-step guide to essential time-series techniques–from the incredibly simple to the quite complex– and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. The Revised Edition has been updated for Stata 16.

Название: Mastering MySQL for Web: A Beginner's Guide
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 309
Размер: 10 Mb
Язык: English

In real-world applications, we see large amounts of data being generated on an hourly basis. How do you think we can handle this data? To solve our problems with large-sized data, MySQL shines bright as it is built to handle data pools of all sizes with ease.
Mastering MySQL for Web: A Beginner's Guide attempts to explain why MySQL is considered to be one of the most popular relative databases on the market, scoring great points at critical parameters such as the number of downloads, mentions in search results, and frequency of technical discussions on Internet forums. We shall look at how fast, scalable, and easy to use this database management system is compared to Microsoft SQL Server and Oracle Database.

Название: 50+ Linux Commands before joining a Company
Автор: Aditya Chatterjee, Benjamin QoChuk
Издательство: OpenGenus
Год: 2020
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.2 MB

This book will prepare you to use Linux in a way a professional developer would use. You can fit in any developer group instantly and will feel confident in using your computing system. Linux and its variants like Ubuntu, RedHat, OpenSUSE and others are the preferred development workspace for most serious developers today. Moreover, when one is developing a software system that will be used by customers, it is important to test in different Linux variants and the key is to use Linux smoothly for wide collaboration.

Название: Study on Data Placement Strategies in Distributed RDF Stores
Автор: D.D. Janke
Издательство: IOS Press
Год: 2020
Страниц: 312
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The distributed setting of RDF stores in the cloud poses many challenges, including how to optimize data placement on the compute nodes to improve query performance. In this book, a novel benchmarking methodology is developed for data placement strategies; one that overcomes these limitations by using a data-placement-strategy-independent distributed RDF store to analyze the effect of the data placement strategies on query performance. Frequently used data placement strategies have been evaluated, and this evaluation challenges the commonly held belief that data placement strategies which emphasize local computation lead to faster query executions. Indeed, results indicate that queries with a high workload can be executed faster on hash-based data placement strategies than on, for example, minimal edge-cut covers. The analysis of additional measurements indicates that vertical parallelization (i.e., a well-distributed workload) may be more important than horizontal containment (i.e., minimal data transport) for efficient query processing. Two such data placement strategies are proposed: the first, found in the literature, is entitled overpartitioned minimal edge-cut cover, and the second is the newly developed molecule hash cover.

Название: Snowflake: The Definitive Guide: Architecting, Designing, and Deploying on the Snowflake Data Cloud (Fourth Early Release)
Автор: Joyce Kay Avila
Издательство: O’Reilly Media, Inc.
Год: 2021-12-17
Страниц: 221
Язык: английский
Формат: pdf, epub
Размер: 11.8 MB

Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. This clear, comprehensive guide will show you how to build integrated data applications and develop new revenue streams based on data. The author deftly unravels complex topics, provides hands-on SQL examples, and reveals how you can use the Snowflake Data Cloud to avoid replatforming or migrating data unnecessarily.

Название: What Is Causal Inference? An Introduction for Data Scientists
Автор: Hugo Bowne-Anderson, Mike Loukides
Издательство: O’Reilly Media, Inc.
Год: 2022-01-13
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Causal inference lies at the heart of our ability to understand why things happen by helping us predict the result of any action. This process is vital for businesses that aspire to turn data and information into valuable knowledge. With this report, data scientists and analysts will learn a principled way of thinking about causality using a suite of causal inference techniques now available. Authors Hugo Bowne-Anderson, a data science consultant, and Mike Loukides, vice president of content strategy at O'Reilly Media, introduce causality and discuss randomized control trials (RCTs), key aspects of causal graph theory, and well-needed techniques from econometrics.

Название: Data Quality Fundamentals: A Practitioner’s Guide to Building More Trustworthy Data Pipelines (Second Early Release)
Автор: Barr Moses, Lior Gavish
Издательство: O’Reilly Media, Inc.
Год: 2022-01-13
Страниц: 97
Язык: английский
Формат: pdf, epub
Размер: 10.17 MB

Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to any of the questions above, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data reliability company Monte Carlo explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies.

Название: Advances in Big Data Analytics: Theory, Algorithms and Practices
Автор: Yong Shi
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 723
Размер: 11,6 Mb
Язык: English

Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence.

Название: Rhythmic Advantages in Big Data and Machine Learning
Автор: Anirban Bandyopadhyay, Kanad Ray
Издательство: Springer
Год: 2022
Страниц: 270
Язык: английский
Формат: pdf (true)
Размер: 10.15 MB

The current book in the series of Systems in Rhythm Engineering, SRE, compiles rhythms from Big data in pure computation, astrophysics to basic biological structures. In today’s world, anything and everything is data and we generate voluminous data almost every passing second which actually gave birth to “Big Data”. The phrase “Big Data” which buzzes around us everywhere, is applied to a specific type of data that has certain traits. However, this phrase has been over used and often incorrectly, which is why itis difficult to gauge its true meaning. For commoners, it is very difficult to understand if Big Data is a tool or a technology or just a buzzword used by data scientists to scare us. Another concern is if Big Data really has the potential to usher in dramatic changes or will the hype fade away with time. In any case, over the past few years, Big Data has become an integral part of several industries and in many cases has shown the potential to be a game-changer.