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Plug-and-Play Visual Subgraph Query Interfaces
This book details recent developments in the emerging area of plug-and-play (PnP) visual subgraph query interfaces (VQI).These PnP interfaces are grounded in the principles of human-computer interaction (HCI) and cognitive psychology to address long-standing limitations to bottom-up search capabilities in graph databases using traditional graph query languages, which often require domain experts and specialist programmers.This book explains how PnP interfaces go against the traditional mantra of VQI construction by taking a data-driven approach and giving end users the freedom to easily and quickly construct and maintain a VQI for any data sources without resorting to coding.The book walks readers through the intuitive PnP interface that uses templates where the underlying graph repository represents the socket and user-specified requirements represent the plug.Hence, a PnP interface enables an end user to change the socket (i.e., graph repository) or the plug (i.e., requirements) as necessary to automatically and effortlessly generate VQIs.The book argues that such a data-driven paradigm creates several benefits, including superior support for visual subgraph query construction, significant reduction in the manual cost of constructing and maintaining a VQI for any graph data source, and portability of the interface across diverse sources and querying applications.This book provides a comprehensive introduction to the notion of PnP interfaces, compares it to its classical manual counterpart, and reviews techniques for automatic construction and maintenance of these new interfaces.In synthesizing current research on plug-and-play visual subgraph query interface management, this book gives readers a snapshot of the state of the art in this topic as well as future research directions.
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What is the nature of your query Willis? classic fit.
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Excel Power Pivot & Power Query For Dummies
Learn to crunch huge amounts of data with PowerPivot and Power Query Do you have a ton of data you need to make sense of?Microsoft’s Excel program can handle amazingly large data sets, but you’ll need to get familiar with PowerPivot and Power Query to get started. And that’s where Dummies comes in. With step-by-step instructions—accompanied by ample screenshots—Excel PowerPivot & Power Query For Dummies will teach you how to save time, simplify your processes, and enhance your data analysis and reporting.Use Power Query to discover, connect to, and import your organization’s data.Then use PowerPivot to model it in Excel. You’ll also learn to: Make use of databases to store large amounts of dataUse custom functions to extend and enhance Power QueryAdd the functionality of formulas to PowerPivot and publish data to SharePoint If you’re expected to wrangle, interpret, and report on large amounts of data, Excel PowerPivot & Power Query For Dummies gives you the tools you need to get up to speed quickly.
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SQL Cookbook : Query Solutions and Techniques for All SQL Users
You may know SQL basics, but are you taking advantage of its expressive power?This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data.Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in several flavors of SQL, including Oracle, DB2, SQL Server, MySQL, and PostgreSQL. SQL programmers, analysts, data scientists, database administrators, and even relatively casual SQL users will find SQL Cookbook to be a valuable problem-solving guide for everyday issues.No other resource offers recipes in this unique format to help you tackle nagging day-to-day conundrums with SQL. The second edition includes:Fully revised recipes that recognize the greater adoption of window functions in SQL implementationsAdditional recipes that reflect the widespread adoption of common table expressions (CTEs) for more readable, easier-to-implement solutionsNew recipes to make SQL more useful for people who aren't database experts, including data scientistsExpanded solutions for working with numbers and stringsUp-to-date SQL recipes throughout the book to guide you through the basics
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Fuzzy Data Matching with SQL : Enhancing Data Quality and Query Performance
If you were handed two different but related sets of data, what tools would you use to find the matches?What if all you had was SQL SELECT access to a database?In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL. DBAs, programmers, business analysts, and data scientists will learn how to identify and remove duplicates, parse strings, extract data from XML and JSON, generate SQL using SQL, regularize data and prepare datasets, and apply data quality and ETL approaches for finding the similarities and differences between various expressions of the same data. Full of real-world techniques, the examples in the book contain working code.You'll learn how to:Identity and remove duplicates in two different datasets using SQLRegularize data and achieve data quality using SQLExtract data from XML and JSONGenerate SQL using SQL to increase your productivityPrepare datasets for import, merging, and better analysis using SQLReport results using SQLApply data quality and ETL approaches to finding similarities and differences between various expressions of the same data
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Fuzzy Data Matching with SQL: Enhancing Data Quality and Query Performance
Fuzzy Data Matching with SQL: Enhancing Data Quality and Query Performance
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Collect, Combine, and Transform Data Using Power Query in Excel and Power BI
Did you know that there is a technology inside Excel, and Power BI, that allows you to create magic in your data, avoid repetitive manual work, and save you time and money?Using Excel and Power BI, you can: Save time by eliminating the pain of copying and pasting data into workbooks and then manually cleaning that data. Gain productivity by properly preparing data yourself, rather than relying on others to do it. Gain effiiciency by reducing the time it takes to prepare data for analysis, and make informed decisions more quickly. With the data connectivity and transformative technology found in Excel and Power BI, users with basic Excel skills import data and then easily reshape and cleanse that data, using simple intuitive user interfaces.Known as “Get & Transform” in Excel 2016, as the “Power Query” separate add-in in Excel 2013 and 2010, and included in Power BI, you'll use this technology to tackle common data challenges, resolving them with simple mouse clicks and lightweight formula editing.With your new data transformation skills acquired through this book, you will be able to create an automated transformation of virtually any type of data set to mine its hidden insights.
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Microsoft Excel Pivot Table Data Crunching Including Dynamic Arrays, Power Query, and Copilot
Microsoft Excel Pivot Table Data Crunching Including Dynamic Arrays, Power Query, and Copilot
Price: 31.34 € | Shipping*: 0.00 €
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