Название: MongoDB Fundamentals
Автор: Тhеорhilus Еdеt
Издательство: CompreQuest Books
Серия: Mastering Database Management Series
Год: 2023
Страниц: 333
Язык: английский
Формат: pdf
Размер: 28.8 MB

Unlock the Power of Data in the Digital Age with "MongoDB Fundamentals"! In the ever-evolving landscape of modern website development, data is the backbone of innovation. Meet MongoDB, the game-changer that empowers developers to revolutionize the way they conceive, store, and retrieve information. This comprehensive guide unravels the depths of MongoDB, offering a roadmap for harnessing its capabilities to propel your applications to new heights. Why MongoDB in Modern Website Development? Traditional databases are like rigid blueprints, constraining your creativity and adaptability. Enter MongoDB, the NoSQL database that flips the script. Its document-oriented, schema-less design allows developers to sculpt data structures as fluidly as their ideas evolve. Whether you're crafting a dynamic e-commerce platform, a responsive mobile app, or a data-intensive analytics system, MongoDB's flexibility is your secret weapon. Dear Developer, the time is now to embrace the rare benefits of MongoDB in your applications. This book is your gateway to understanding and implementing MongoDB's capabilities. Let go of the constraints of traditional databases and step into a world where your creativity knows no bounds. Dive into the fundamentals, experiment with concepts, and see MongoDB in action. This isn't just a guide; it's your hands-on companion to unlocking MongoDB's full potential.

Название: Excel: от новичка до продвинутого пользователя
Автор: Осипов Е.А., Александрова И.Л., Филиппова И.А.
Издательство: Казань: Казанский федеральный университет
Год: 2022
Формат: pdf
Страниц: 72
Размер: 13 mb
Язык: Русский

Данное пособие составлено в соответствии с современной структурой изучения дисциплин и является дополнением к курсу «Excel: от новичка до продвинутого пользователя». В пособии рассмотрены задачи по работе с табличными данными, математическими и логическими функциями, построению графиков и диаграмм с применением табличного редактора Microsoft Excel 2021 из пакета прикладного программного обеспечения Microsoft Office 2021 под управлением операционной системы Windows.

Название: Indexing Beyond the Basics
Автор: Тоbiаs Реtrу
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf (true), epub
Размер: 20.7 MB

Learn to create indexes for your slow queries by following simple principles. Hi! I'm Tobias Petry, a full stack developer who used to suck at writing fast database queries. Whenever I had a slow query, I needed to ask more advanced developers for help and hope they had time for me. Like everyone, I always wished I could solve those problems on my own. But even after reading some tutorials I didn't get any closer to my goal. The number of queries I couldn't optimize by far exceeded the ones I could make faster. So I learned everything about databases over the next 10+ years from countless books, conferences, trainings, articles and much practice. Finally, I could fix any slow query entirely without help. But during my consulting work I found that most developers still face the same problem. The reason database indexes are still not understood by developers is the depth of the existing content. Whether it is books, articles or videos - they all have their own problems that limit the ability to understand database indexing. You are a developer who can write SQL queries but struggle with creating the correct indexes to make them fast. Neither do you have the time or interest to learn this topic in weeks - a couple evenings on the couch should be enough. You also just want to learn the practical knowledge necessary to complete your task and move on to other things. The content should avoid any technical complex database implementation details - you want the core information quickly, concisely and understandably.

Название: ADO.NET Data Access Technology With C#
Автор: Тhеорhilus Еdеt
Издательство: CompreQuest Books
Серия: Mastering Database Management Series
Год: 2023
Страниц: 482
Язык: английский
Формат: pdf
Размер: 33.2 MB

Unlock the full potential of data access and supercharge your C# skills with our comprehensive course on ADO.NET. With 24 modules carefully crafted to guide you, this course empowers you to become a data-driven application development expert. Explore the intricacies of connecting to databases, master the art of working with data providers, and dive deep into Entity Framework. Discover the power of asynchronous data access and real-world case studies that put your skills to the test. Security is paramount in data access, and we'll show you the ropes in data access security, covering everything from authentication to encryption. But that's not all – we're taking you beyond the horizon with insights into emerging data access technologies, cloud-based data access, and the transformative world of serverless and microservices architecture. Your journey begins now. Enroll and embark on a transformational experience that will set you on the path to data mastery with C#. Don't miss out on this opportunity to take your skills to the next level.

Название: Big Data Computing: Advances in Technologies, Methodologies, and Applications
Автор: Таnvir Наbib Sаrdаr, Вishwаjееt Кumаr Раndеу
Издательство: CRC Press
Серия: Computational Intelligence Techniques
Год: 2024
Страниц: 397
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB

This book primarily aims to provide an in-depth understanding of recent advances in Big Data computing technologies, methodologies, and applications along with introductory details of Big Data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and Big Data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in Big Data computing applications such as Machine Learning, Deep Learning, graph processing, and many others. Big Data has become a critical issue for businesses to leverage their data assets to drive business decisions considering the exponential growth of data in today’s age. Machine Learning (ML) and Artificial Intelligence (AI) have emerged as powerful tools to extract insights and value from Big Data. Here we will explore a few of the key applications of ML and AI in Big Data. Predictive analytics is one of the most significant applications of ML in Big Data. It involves using existing data to predict future events or behaviors. Predictive analytics may be used to predict future sales, identify customers at risk of churning, or predict the likelihood of a customer purchasing a specific product . In predictive analytics, algorithms such as decision trees, random forests, and neural networks are commonly used.

Название: AI-Based Data Analytics: Applications for Business Management
Автор: Кirаn Сhаudhаrу, Маnsаf Аlаm
Издательство: CRC Press
Год: 2024
Страниц: 261
Язык: английский
Формат: pdf (true)
Размер: 13.6 MB

This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, Big Data analytics, and organizational decision-making. This book is focused on Artificial Intelligence (AI), Data Analytics, Sentiment Analysis for social media, and various approaches to AI in Business Management. This is an emerging field that can increase the performance management domain to improve understanding of business and marketing dynamics that can lead to better strategic decision-making. In this book, we have also given a variety of marketing and business analytics strategies to solve market and organizational challenges. The use of AI in business and marketing analytics can help to create value by proper allocation of all available resources. By using various techniques and tools of Big Data analytics, we can improve the performance of the business. Data analytics is a vast discipline that encompasses a variety of methodologies and technologies. Predictive analytics, data mining, Machine Learning (ML), and Natural Language Processing (NLP) are included.

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.