Curso de Introducción a la Administración de Bases de Datos


Book Description

El buen uso de las bases de datos es fundamental para las buenas prácticas en la programación actual. Una base de datos optimizada, con sus backups automatizados, con el uso de triggers, etc… es lo que dará finalmente agilidad al desarrollador de aplicaciones con bases de datos y al rendimiento de las propias aplicaciones que trabajan con bases de datos. Debido al aumento exponencial de las nuevas tecnologías de la información, sumado al uso de las tecnologías móviles con acceso a Internet, el volumen de datos que manejan tanto las empresas, como muchos particulares (con solamente almacenar algunos datos de sus redes sociales y contactos profesionales) se ha incrementado notablemente, con lo cual, a día de hoy es casi imposible imaginar una aplicación que no necesite trabajar con una base de datos. Las Bases de datos son colecciones de información (datos) que se relacionan para crear un sentido y dar más eficiencia a una encuesta, un estudio organizado o la estructura de datos de una empresa. Son de vital importancia para las empresas, y en las últimas décadas se han convertido en la parte principal de los sistemas de información. Normalmente los datos permanecen allí durante varios años sin necesidad de cambiar su estructura. Las bases de datos suelen ser gestionadas por sistemas de gestión de bases de datos (SGBD), que surgieron en los años 70. Antes de estos, las aplicaciones utilizadas en los archivos del sistema operativo para almacenar sus sistemas de información. En los años 80 la tecnología de SGBD relacional llegó a dominar el mercado, y en la actualidad se utiliza casi exclusivamente. Otro tipo de bases de datos destacadas son los SGBD orientados a objetos, donde su estructura o aplicaciones que lo utilizan están en constante cambio. La aplicación principal de la base de datos principal es la que controla todas las operaciones empresariales.




Management Information Systems


Book Description

This text enjoys a strong loyalty among instructors who adopt it. Focusing on the role of managers within an organization, the text emphasizes the development of computer-based information systems to support an organization's objectives and strategic plans. The General Systems Model is, introduced in Chapter 6, and implemented throughout the rest of the text.




Good Boss, Bad Boss


Book Description

Now with a new chapter that focuses on what great bosses really do. Dr. Sutton reveals new insights that he's learned since the writing of Good Boss, Bad Boss. Sutton adds revelatory thoughts about such legendary bosses as Ed Catmull, Steve Jobs, A.G. Lafley, and many more, and how you can implement their techniques. If you are a boss who wants to do great work, what can you do about it? Good Boss, Bad Boss is devoted to answering that question. Stanford Professor Robert Sutton weaves together the best psychological and management research with compelling stories and cases to reveal the mindset and moves of the best (and worst) bosses. This book was inspired by the deluge of emails, research, phone calls, and conversations that Dr. Sutton experienced after publishing his blockbuster bestseller The No Asshole Rule. He realized that most of these stories and studies swirled around a central figure in every workplace: THE BOSS. These heart-breaking, inspiring, and sometimes funny stories taught Sutton that most bosses - and their followers - wanted a lot more than just a jerk-free workplace. They aspired to become (or work for) an all-around great boss, somebody with the skill and grit to inspire superior work, commitment, and dignity among their charges. As Dr. Sutton digs into the nitty-gritty of what the best (and worst) bosses do, a theme runs throughout Good Boss, Bad Boss - which brings together the diverse lessons and is a hallmark of great bosses: They work doggedly to "stay in tune" with how their followers (and superiors, peers, and customers too) react to what they say and do. The best bosses are acutely aware that their success depends on having the self-awareness to control their moods and moves, to accurately interpret their impact on others, and to make adjustments on the fly that continuously spark effort, dignity, and pride among their people.







LEV


Book Description




R for Data Science


Book Description

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results




NANDA International Nursing Diagnoses


Book Description

Fully updated and revised by authors T. Heather Herdman, PhD, RN, FNI, and Shigemi Kamitsuru, PhD, RN, FNI, Nursing Diagnoses: Definitions and Classification 2018-2020, Eleventh Edition is the definitive guide to nursing diagnoses, as reviewed and approved by NANDA International (NANDA-I). In this new edition of a seminal text, the authors have written all introductory chapters at an undergraduate nursing level, providing the critical information needed for nurses to understand assessment, its link to diagnosis and clinical reasoning, and the purpose and use of taxonomic structure for the nurse at the bedside. Other changes include: 18 new nursing diagnoses and 72 revised diagnoses Updates to 11 nursing diagnosis labels, ensuring they are consistent with current literature and reflect a human response Modifications to the vast majority of the nursing diagnosis definitions, including especially Risk Diagnoses Standardization of diagnostic indicator terms (defining characteristics, related factors, risk factors, associated conditions, and at-risk populations) to further aid clarity for readers and clinicians Coding of all diagnostic indicator terms for those using electronic versions of the terminology Web-based resources include chapter and reference lists for new diagnoses Rigorously updated and revised, Nursing Diagnoses: Definitions and Classification 2018-2020, Eleventh Edition is a must-have resource for all nursing students, professional nurses, nurse educators, nurse informaticists, and nurse administrators.







Sugar


Book Description




Business Forecasting


Book Description

This top-selling book presents, in a straightforward, application-driven manner, the basic statistical techniques necessary for preparing individual business forecasts and long-range plans. The emphasis is on the application of techniques by management for decision-making. This essential book provides understandable coverage of several important topics, often omitted from other books, including econometrics; autocorrelation analysis and the use of Box-Jenkins techniques; judgmental forecasting techniques; and the means of selecting the correct forecasting technique and analyzing data. The book also reviews statistical concepts prior to introducing material that requires an understanding of those concepts. The sixth edition of Business Forecasting has been revised to include instructions on using Excel spreadsheets and the statistical package MINITAB in forecasting. An essential reference for every professional in a business of any size, from large corporations to small family-run firms.