Название: Access 365 Project Book : Hands-On Database Creation Автор: Julittа Коrоl Издательство: Mercury Learning and Information Год: 2024 Страниц: 469 Язык: английский Формат: pdf (true) Размер: 33.9 MB This is a project book that guides you through the process of building a traditional Access desktop database that uses one Access database as the front-end (queries, reports, and forms) and another Access database to contain the tables and data. By separating the data from the rest of the database, the Access database can be easily shared by multiple users over a network. When you build a database correctly at the outset, later this database can be migrated to another system with fewer issues and fewer objects that need to be redone. Microsoft Access has been the top database management solution for individuals and businesses for over two decades. Many of today’s database systems started as small Access databases or were ported from Microsoft Excel spreadsheets. With Microsoft’s commitment to continuing the development of the product, Access keeps getting better with each new update. Across all types and sizes of organizations, people continue to utilize Access to collect, track, and analyze data from multiple sources and build useful forms and reports. Non-devel-opers are creating various Access databases because with Access they can quickly move forward and get their job done without requiring much support from the IT (Information Technology) department. Access 365 Project Book: Hands-On Database Creation is a hands-on database project that guides you through the process of building a traditional Access desktop database that is later split into two files: a back-end database that contains tables with data, and a front-end database that contains forms, reports, queries, macros, and code modules.
Название: Building a Data Culture: The Usage and Flow Data Culture Model Автор: Gаrу W. Griffin, Dаvid Ноlсоmb Издательство: Apress Год: 2023 Страниц: 235 Язык: английский Формат: pdf Размер: 25.0 MB In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential due to a lack of understanding and effective utilization of data within their culture. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture. The book emphasizes data strategy and data governance's pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate on the people, processes, and technology through analytics, literacy, governance, process management, and data inventory management. For professionals and leaders across various industries who are interested in building a data culture within their organizations. The typical reader may have a background in data management, analytics, business intelligence, or technology, but the book is designed to be accessible to a wide range of readers with varying levels of expertise.
Название: Privacy Preservation of Genomic and Medical Data Автор: Аmit Кumаr Туаgi Издательство: Wiley-Scrivener Год: 2024 Страниц: 559 Язык: английский Формат: pdf (true) Размер: 17.4 MB Privacy Preservation of Genomic and Medical Data discusses topics concerning the privacy preservation of genomic data in the digital era, including data security, data standards, and privacy laws so that researchers in biomedical informatics, computer privacy and ELSI can assess the latest advances in privacy-preserving techniques for the protection of human genomic data. Privacy Preservation of Genomic and Medical Data focuses on genomic data sources, analytical tools, and the importance of privacy preservation. Topics discussed include tensor flow and Bio-Weka, privacy laws, HIPAA, and other emerging technologies like Internet of Things, IoT-based cloud environments, cloud computing, edge computing, and blockchain technology for smart applications. Data Science is a broad field encompassing some of the fastest-growing subjects in interdisciplinary statistics, mathematics and Computer Science. It encompasses a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, including diverse techniques under a variety of names, in different business, science, and social science domains. Similarly, data analytics is now required in the medial field for analyzing genomic and genetic data.
Название: Querying Databricks with Spark SQL: Leverage SQL to query and analyze Big Data for insights Автор: Аdаm Аsрin Издательство: BPB Publications Год: 2024 Страниц: 638 Язык: английский Формат: epub (true) Размер: 37.4 MB A practical guide to using Spark SQL to perform complex queries on your Databricks data. Databricks stands out as a widely embraced platform dedicated to the creation of data lakes. Within its framework, it extends support to a specialized version of Structured Query Language (SQL) known as Spark SQL. If you are interested in learning more about how to use Spark SQL to analyze data in a data lake, then this book is for you. The book covers everything from basic queries to complex data-processing tasks. It begins with an introduction to SQL and Spark. It then covers the basics of SQL, including data types, operators, and clauses. The next few chapters focus on filtering, aggregation, and calculation. Additionally, it covers dates and times, formatting output, and using logic in your queries. It also covers joining tables, subqueries, derived tables, and common table expressions. Additionally, it discusses correlated subqueries, joining and filtering datasets, using SQL in calculations, segmenting and classifying data, rolling analysis, and analyzing data over time. The book concludes with a chapter on advanced data presentation. Data is the lifeblood of the enterprise. Whether “Big Data” or the data stored in classic databases, it is queried using a variant of Structured Query Language (SQL). So, simply put, SQL is key to data analysis.
Название: SQL Antipatterns, Volume 1: Avoiding the Pitfalls of Database Programming Автор: Вill Каrwin Издательство: Pragmatic Bookshelf Год: November 2022 (Version: P1.0) Страниц: 379 Язык: английский Формат: pdf (true), epub, mobi Размер: 10.2 MB, 10.2 MB SQL is the ubiquitous language for software developers working with structured data. Most developers who rely on SQL are experts in their favorite language (such as Java, Python, or Go), but they're not experts in SQL. They often depend on antipatterns - solutions that look right but become increasingly painful to work with as you uncover their hidden costs. Learn to identify and avoid many of these common blunders. Refactor an inherited nightmare into a data model that really works. Updated for the current versions of MySQL and Python, this new edition adds a dozen brand new mini-antipatterns for quick wins. No matter which platform, framework, or language you use, the database is the foundation of your application, and the SQL database language is the standard for working with it. Antipatterns are solutions that look simple at the surface, but soon mire you down with needless work. Learn to identify these traps, and craft better solutions for the often-asked questions in this book. Avoid the mistakes that lead to poor performance and quality, and master the principles that make SQL a powerful and flexible tool for handling data and logic.
Название: Data Analytics: A Theoretical and Practical View from the EDISON Project Автор: Juаn J. Сuаdrаdо-Gаllеgо, Yuri Dеmсhеnkо Издательство: Springer Год: 2023 Страниц: 486 Язык: английский Формат: pdf Размер: 10.1 MB Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical foundations to their implementation and use with software tools. Designed as a textbook for a Data Analytics Fundamentals course, it is divided into seven chapters to correspond with 16 weeks of lessons, including both theoretical and practical exercises. Each chapter is dedicated to a lesson, allowing readers to dive deep into each topic with detailed explanations and examples. Readers will learn the theoretical concepts and then immediately apply them to practical exercises to reinforce their knowledge. And in the lab sessions, readers will learn the ins and outs of the R environment and Data Science methodology to solve exercises with the R language. With detailed solutions provided for all examples and exercises, readers can use this book to study and master data analytics on their own. Whether you're a student, professional, or simply curious about data analytics, this book is a must-have for anyone looking to expand their knowledge in this exciting field.
Название: Изучаем SQL и MySQL: С легкостью извлекайте данные и манипулируйте ими с помощью команд SQL Автор: Паджанкар А. Издательство: BPB Publications Год: 2023 Формат: pdf, djvu Размер: 10 Мб Качество: Хорошее Язык: Русский Эта книга представлят собой пошаговое руководство, которое поможет вам с легкостью управлять данными в реляционной базе данных MySQL или MariaDB с помощью SQL-запросов.Книга начинается со знакомства с концепций систем управления реляционными базами данных и SQL (языка структурированных запросов). Первые несколько глав содержат определения и краткое объяснение всех важных понятий. Они также охватывают описание роцесса установки MariaDB и MySQL в среде Windows и Raspberry Pi, а также настройку различных инструментов, используемых для подключения серверам MySQL и MariaDB.
Название: Data Driven Decisions: Systems Engineering to Understand Corporate Value and Intangible Assets Автор: Jоshuа Jаhаni Издательство: Wiley Год: 2024 Страниц: 272 Язык: английский Формат: pdf, epub (true) Размер: 10.2 MB Expand your enterprise into new regions using systems engineering and data analysis. In Data Driven Decisions: Systems Engineering to Understand Corporate Valuation and Intangible Assets, investment banker, systems engineer, and Cornell University lecturer Joshua Michael Jahani delivers an incisive and unique unveiling of how to use the tools of systems engineering to value your organization, its intangible assets, and how to gauge or prepare its readiness for an overseas or cross-border expansion. In the book, you'll learn to implement a wide range of systems engineering tools, including context diagrams, decision matrices, Goal-Question-Metric analyses, and more.
Название: Leading in Analytics: The Seven Critical Tasks for Executives to Master in the Age of Big Data Автор: Jоsерh А. Саziеr Издательство: Wiley Год: 2024 Страниц: 320 Язык: английский Формат: epub (true) Размер: 11.3 MB A step-by-step guide for business leaders who need to manage successful Big Data projects. Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You'll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can't control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing Big Data tools at an enterprise level.
Название: Procedural Programming with PostgreSQL PL/pgSQL: Design Complex Database-Centric Applications with PL/pgSQL Автор: Ваji Shаik, Dinеsh Кumаr Сhеmuduru Издательство: Apress Год: 2023 Страниц: 326 Язык: английский Формат: pdf (true), epub, mobi Размер: 10.1 MB Learn the fundamentals of PL/PGSQL, the programming language of PostgreSQL which is most robust Open Source Relational Database. This book provides practical insights into developing database code objects such as functions and procedures, with a focus on effectively handling strings, numbers, and arrays to achieve desired outcomes, and transaction management. The unique approach to handling Triggers in PostgreSQL ensures that both functionality and performance are maintained without compromise. You'll gain proficiency in writing inline/anonymous server-side code within the limitations, along with learning essential debugging and profiling techniques. Additionally, the book delves into statistical analysis of PL/PGSQL code and offers valuable knowledge on managing exceptions while writing code blocks.
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