You can get there
Introduction to Databases Project Manual offers a wealth of easy-to-read, practical, up-to-date activities that reinforce fundamental database design and management concepts. You'll also learn to develop the core competencies and skills you'll need in the real world, such as how to:
* Install SQL Server 2005
* Read and create an ERD
* Design and implement a database
* Use DDL and DML commands
* Use and monitor transactions
* Manage security principles, permissions, and backups
* Design data environments
* Use replication
With five to seven projects per chapter ranging from easy to more advanced, Introduction to Databases Project Manual is ideal for both traditional and online courses that are oriented toward strengthening database management skills.
Introduction to Databases Project Manual is an excellent companion to Gillenson's Introduction to Databases (ISBN: 978-0-470-10186-5).
Wiley Pathways helps you achieve your goals
Not every student is on the same path, but every student wants to succeed. The Information Technology series in the new Wiley Pathways imprint helps you achieve your goals. The books and project manuals in this series--Introduction to Databases, Introduction to Programming Using Visual Basic, Introduction to Operating Systems, Networking Basics, Windows Network Administration, Network Security Fundamentals, and PC Hardware Essentials--offer a coordinated information technology curriculum. Learn more at www.wiley.com/go/pathways.

Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems Purchase of the print or Kindle book includes a free eBook in the PDF format Key Features Explore unique recipes for financial data processing and analysis with Python Apply classical and machine learning approaches to financial time series analysis Calculate various technical analysis indicators and backtesting backtest trading strategies Book DescriptionPython is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions. You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses. Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them. What you will learn Preprocess, analyze, and visualize financial data Explore time series modeling with statistical (exponential smoothing, ARIMA) and machine learning models Uncover advanced time series forecasting algorithms such as Meta's Prophet Use Monte Carlo simulations for derivatives valuation and risk assessment Explore volatility modeling using univariate and multivariate GARCH models Investigate various approaches to asset allocation Learn how to approach ML-projects using an example of default prediction Explore modern deep learning models such as Google's TabNet, Amazon's DeepAR and NeuralProphet Who this book is forThis book is intended for financial analysts, data analysts and scientists, and Python developers with a familiarity with financial concepts. You'll learn how to correctly use advanced approaches for analysis, avoid potential pitfalls and common mistakes, and reach correct conclusions for a broad range of finance problems. Working knowledge of the Python programming language (particularly libraries such as pandas and NumPy) is necessary.

This tool kit provides insights on how new fintech solutions, aided by strong policy and regulation, can support more inclusive growth and help economies recover from the pandemic. The rapid growth of fintech services in Asia and the Pacific can help countries leapfrog the challenges of traditional financial services infrastructure and dramatically increase access to financial services. An inclusive fintech ecosystem is important in supporting economic growth, greater equality, and lower poverty levels. This publication suggests how to provide an enabling policy and regulatory environment to promote responsible fintech innovation, while ensuring consumer protection and supporting inclusive economic development in the region.

Quickly build and deploy massive data pipelines and improve productivity using Azure Databricks Key Features Get to grips with the distributed training and deployment of machine learning and deep learning models Learn how ETLs are integrated with Azure Data Factory and Delta Lake Explore deep learning and machine learning models in a distributed computing infrastructure Book DescriptionMicrosoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models. Databricks' advanced features enable developers to process, transform, and explore data. Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time. Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you'll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you'll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks. Finally, you'll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines. By the end of this MS Azure book, you'll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline. What you will learn Create ETLs for big data in Azure Databricks Train, manage, and deploy machine learning and deep learning models Integrate Databricks with Azure Data Factory for extract, transform, load (ETL) pipeline creation Discover how to use Horovod for distributed deep learning Find out how to use Delta Engine to query and process data from Delta Lake Understand how to use Data Factory in combination with Databricks Use Structured Streaming in a production-like environment Who this book is forThis book is for software engineers, machine learning engineers, data scientists, and data engineers who are new to Azure Databricks and want to build high-quality data pipelines without worrying about infrastructure. Knowledge of Azure Databricks basics is required to learn the concepts covered in this book more effectively. A basic understanding of machine learning concepts and beginner-level Python programming knowledge is also recommended.

Effective collaboration technologies and tools are critical to the development of contemporary business landscapes, especially as more businesses offer fully remote or hybrid work options. Effective communication is key to increasing work productivity and absolutely essential for project managers and teams working to achieve their end goals. Individuals and businesses can benefit from research on the design, execution, and assessment of collaboration applications as they strive for effective tools to increase virtual forms of communication. It is essential that businesses remain up to date with and incorporate these emerging virtual technologies and e-collaboration into their practices. Virtual Technologies and E-Collaboration for the Future of Global Business examines the most recent findings in knowledge-intensive, collaborative environments with a focus on methodologies and strategies for increasing online collaboration. It discusses the emerging technologies and tools for collaboration in virtual environments and includes findings in automation, computing, and intelligent information systems, as well as state-of-the-art solutions covering various issues and challenges. Covering topics such as capacity building, groupware systems, and knowledge management, this premier reference source is an essential resource for business leaders and managers, entrepreneurs, board directors, faculty and students of higher education, technology directors and managers, IT professionals, researchers, and academicians.

This book is for executives, practitioners, and project managers who are tasked with the movement of data from old systems to a new repository. It is designed as a practical guide and uses a series of steps developed in real-life situations that will get you from an empty new system to one that is populated, working and backed by the user population. This new edition is updated to take account of changes in technology and the maturing of the market for data migration services, with two brand new chapters. It guarantees to get the dirty old data out of your legacy systems and transform it into clean new data for your new system.

College Technology Survival Kit provides students with the necessary tools and knowledge to succeed in their academic careers through the use of basic computer skills and other technology. The book helps to prevent the technology-related frustrations students can encounter when asked to write papers, create presentations, and navigate a school's learning management system. The book features information on computer programs like Microsoft Word, Excel, and PowerPoint, as well as commonly used learning management systems Blackboard and Canvas. It offers students lessons in file management, Google web applications, email programs, and developing presentations in Prezi. The text provides complete, step-by-step instructions to help students navigate common computer-based programs and systems and develop technological competency. The revised second edition features updates to student project and student check features within each chapter. It also includes updated instructions for navigating Microsoft Work, with material that covers the use of document themes, theme fonts, and more. College Technology Survival Kit is a cross-disciplinary, supplementary text designed to support all higher education students, regardless of their field of study. It is ideal for foundational courses in computer sciences or other classes where basic computer skills are needed.

Work with business scenarios and discover best practices to get the most out of Microsoft Forms and Microsoft Dynamics 365 Customer Voice Key Features Explore step-by-step instructions to integrate surveys with Microsoft 365 apps Automate surveys and follow-up actions from survey results using Microsoft Forms Create custom report dashboards and explore advanced analytics for managing insights Book DescriptionMicrosoft Forms and Dynamics 365 Customer Voice enable organizations to collect and analyze feedback from employees and customers, helping developers to integrate their feedback and business users to collect feedback that will guide them to develop customer-centric solutions. This book takes a hands-on approach to leveraging Microsoft Forms and Dynamics 365 Customer Voice capabilities for common feedback scenarios and covers best practices and tips and tricks to have your solution up and running in no time. You'll start by exploring common scenarios where organizations collect feedback from employees and customers and implement end-to-end solutions with Forms. You'll then discover how to create surveys and get to grips with different configuration options commonly used for each scenario. Throughout the book, you'll also find sample questions and step-by-step instructions for integrating the survey with related technology such as Microsoft Teams, Power Automate, and Power BI for an end-to-end scenario. By the end of this Microsoft book, you'll be able to build and deploy your complete solution using Microsoft Forms and Dynamics 365 Customer Voice, allowing you to listen to customers or employees, interpret their feedback, take timely follow-up action, and monitor results. What you will learn Get up and running with Microsoft Forms and Dynamics 365 Customer Voice services Explore common feedback scenarios and survey best practices Understand how to administer Microsoft Forms and Dynamics 365 Customer Voice Use Microsoft Forms or Dynamics 365 Customer Voice to monitor your survey results Set up the Microsoft Forms app for Teams for conducting live polls Automate feedback collection and follow-up actions Who this book is forThis book is for business users who want to increase customer and employee engagement and collect data for measuring user satisfaction and driving product and process improvements. Beginner-level knowledge of Microsoft products such as Office 365 (including Teams, Outlook, and Excel) is expected. The book also includes advanced topics for citizen developers to automate sending Customer Voice surveys, follow-up actions, and creating custom dashboards using Microsoft Power Platform applications like Power Automate and Power BI.